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Steven Lake Waslander

Steven L. Waslander

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affiliation: University of Toronto, Institute for Aerospace Studies, ON, Canada
affiliation (former): University of Waterloo, Department of Mechanical and Mechatronics Engineering, Canada

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2024
[j26]
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John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven L. Waslander:
Bayesian Embeddings for Few-Shot Open World Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1513-1529 (2024)
2023
[j25]
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Mathew Hildebrand, Andrew Brown, Stephen Brown, Steven L. Waslander:
Assessing Distribution Shift in Probabilistic Object Detection Under Adverse Weather. IEEE Access 11: 44989-45000 (2023)
2022
[j24]
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Di Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer:
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(8): 9961-9980 (2022)
2021
[j23]
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Matthew Pitropov, Danson Evan Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, Steven Lake Waslander:
Canadian Adverse Driving Conditions dataset. Int. J. Robotics Res. 40(4-5) (2021)
[j22]
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Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly:
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. IEEE Robotics Autom. Lett. 6(2): 2028-2035 (2021)
[j21]
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Shatil Rahman, Steven L. Waslander:
Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots. IEEE Robotics Autom. Lett. 6(2): 3112-3119 (2021)
[j20]
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Jun Yang, Dong Li, Steven L. Waslander:
Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking. IEEE Robotics Autom. Lett. 6(3): 4472-4479 (2021)
[j19]
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Adeel Akhtar, Steven L. Waslander:
Controller Class for Rigid Body Tracking on $\mathsf {SO}(3)$. IEEE Trans. Autom. Control. 66(5): 2234-2241 (2021)
2020
[j18]
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Adeel Akhtar, Sajid Saleem, Steven L. Waslander:
Path Following for a Class of Underactuated Systems Using Global Parameterization. IEEE Access 8: 34737-34749 (2020)
2019
[j17]
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Nima Mohajerin, Steven L. Waslander:
Multistep Prediction of Dynamic Systems With Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3370-3383 (2019)
2018
[j16]
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  - journals/access/ZhangCWGXYL18
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Yu Zhang, Huiyan Chen, Steven L. Waslander, Jianwei Gong, Guangming Xiong, Tian Yang, Kai Liu:
Hybrid Trajectory Planning for Autonomous Driving in Highly Constrained Environments. IEEE Access 6: 32800-32819 (2018)
[j15]
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  - journals/sensors/ZhangCWYZXL18
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Yu Zhang, Huiyan Chen, Steven L. Waslander, Tian Yang, Sheng Zhang, Guangming Xiong, Kai Liu:
Toward a More Complete, Flexible, and Safer Speed Planning for Autonomous Driving via Convex Optimization. Sensors 18(7): 2185 (2018)
2017
[j14]
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  - journals/ras/ServosW17
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James Servos, Steven Lake Waslander:
Multi-Channel Generalized-ICP: A robust framework for multi-channel scan registration. Robotics Auton. Syst. 87: 247-257 (2017)
2016
[j13]
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Mirmojtaba Gharibi, Raouf Boutaba, Steven Lake Waslander:
Internet of Drones. IEEE Access 4: 1148-1162 (2016)
[j12]
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  - journals/ivc/TribouWW16
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Michael J. Tribou, David W. L. Wang, Steven Lake Waslander:
Degenerate motions in multicamera cluster SLAM with non-overlapping fields of view. Image Vis. Comput. 50: 27-41 (2016)
[j11]
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Siddhant Ahuja, Peter Iles, Steven Lake Waslander:
Three-dimensional Scan Registration using Curvelet Features in Planetary Environments. J. Field Robotics 33(2): 243-259 (2016)
2015
[j10]
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John Michael Daly, Yan Ma, Steven Lake Waslander:
Coordinated landing of a quadrotor on a skid-steered ground vehicle in the presence of time delays. Auton. Robots 38(2): 179-191 (2015)
[j9]
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Michael J. Tribou, Adam Harmat, David W. L. Wang, Inna Sharf, Steven Lake Waslander:
Multi-camera parallel tracking and mapping with non-overlapping fields of view. Int. J. Robotics Res. 34(12): 1480-1500 (2015)
[j8]
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Neil Mathew, Stephen L. Smith, Steven Lake Waslander:
Planning Paths for Package Delivery in Heterogeneous Multirobot Teams. IEEE Trans Autom. Sci. Eng. 12(4): 1298-1308 (2015)
[j7]
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Neil Mathew, Stephen L. Smith, Steven Lake Waslander:
Multirobot Rendezvous Planning for Recharging in Persistent Tasks. IEEE Trans. Robotics 31(1): 128-142 (2015)
[j6]
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Adeel Akhtar, Christopher Nielsen, Steven Lake Waslander:
Path Following Using Dynamic Transverse Feedback Linearization for Car-Like Robots. IEEE Trans. Robotics 31(2): 269-279 (2015)
2014
[j5]
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Michael J. Tribou, Steven Lake Waslander, David W. L. Wang:
Scale recovery in multicamera cluster SLAM with non-overlapping fields of view. Comput. Vis. Image Underst. 126: 53-66 (2014)
[j4]
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Arun Das, Steven Lake Waslander:
Scan registration using segmented region growing NDT. Int. J. Robotics Res. 33(13): 1645-1663 (2014)
[j3]
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Arun Das, Michael Diu, Neil Mathew, Christian Scharfenberger, James Servos, Andy Wong, John S. Zelek, David A. Clausi, Steven Lake Waslander:
Mapping, Planning, and Sample Detection Strategies for Autonomous Exploration. J. Field Robotics 31(1): 75-106 (2014)
2012
[j2]
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  - journals/te/BristowEHJOWS12
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Michele Bristow, Kaan Erkorkmaz, Jan Paul Huissoon, Soo Jeon, William S. Owen, Steven Lake Waslander, Gordon D. Stubley:
A Control Systems Concept Inventory Test Design and Assessment. IEEE Trans. Educ. 55(2): 203-212 (2012)
2008
[j1]
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  - journals/pieee/Waslander0JT08
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Steven Lake Waslander, Kaushik Roy, Ramesh Johari, Claire J. Tomlin:
Lump-Sum Markets for Air Traffic Flow Control With Competitive Airlines. Proc. IEEE 96(12): 2113-2130 (2008)

Conference and Workshop Papers

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2024
[c97]
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  - conf/wacv/LiaoW24
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Ziwei Liao, Steven L. Waslander:
Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior. WACV 2024: 3086-3095
2023
[c96]
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  - conf/aaai/HarakehHGWP23
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Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull:
Estimating Regression Predictive Distributions with Sample Networks. AAAI 2023: 7830-7838
[c95]
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  - conf/crv/LisusHW23
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Daniil Lisus, Connor Holmes, Steven Lake Waslander:
Towards Open World NeRF-Based SLAM. CRV 2023: 37-44
[c94]
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  - conf/crv/WillesRW23
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John Willes, Cody Reading, Steven L. Waslander:
InterTrack: Interaction Transformer for 3D Multi-Object Tracking. CRV 2023: 73-80
[c93]
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  - conf/crv/LavoieW23
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Marc-Antoine Lavoie, Steven L. Waslander:
Class Instance Balanced Learning for Long-Tailed Classification. CRV 2023: 121-128
[c92]
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  - conf/crv/DeeryLW23
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Jacob Deery, Chang Won Lee, Steven L. Waslander:
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation. CRV 2023: 137-144
[c91]
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Jun Yang, Jason Rebello, Steven L. Waslander:
Next-Best-View Selection for Robot Eye-in-Hand Calibration. CRV 2023: 161-168
[c90]
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  - conf/crv/XuW23
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Jenny Xu, Steven L. Waslander:
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering. CRV 2023: 217-224
[c89]
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  - conf/crv/NisarAW23
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Barza Nisar, Hruday Vishal Kanna Anand, Steven L. Waslander:
Gradient-Based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection. CRV 2023: 304-311
[c88]
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  - conf/cvpr/MahmoudHKHPW23
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Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander:
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CVPR 2023: 7102-7110
[c87]
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  - conf/cvpr/ShaoW0W0023
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Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu:
ReasonNet: End-to-End Driving with Temporal and Global Reasoning. CVPR 2023: 13723-13733
[c86]
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  - conf/icra/YangXGW23
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Jun Yang, Wenjie Xue, Sahar Ghavidel, Steven L. Waslander:
6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization. ICRA 2023: 2905-2912
[c85]
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  - conf/rss/QianCSMBWS23
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Jingxing Qian, Veronica Chatrath, James Servos, Aaron Mavrinac, Wolfram Burgard, Steven L. Waslander, Angela P. Schoellig:
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments. Robotics: Science and Systems 2023
[c84]
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Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander:
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. Robotics: Science and Systems 2023
[c83]
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  - conf/wacv/MahmoudHW23
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Anas Mahmoud, Jordan S. K. Hu, Steven L. Waslander:
Dense Voxel Fusion for 3D Object Detection. WACV 2023: 663-672
2022
[c82]
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  - conf/crv/LooperW22
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Samuel Looper, Steven L. Waslander:
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction. CRV 2022: 32-39
[c81]
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Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander:
Point Density-Aware Voxels for LiDAR 3D Object Detection. CVPR 2022: 8459-8468
[c80]
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  - conf/icra/YangW22
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Jun Yang, Steven L. Waslander:
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects. ICRA 2022: 3684-3690
[c79]
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Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven L. Waslander:
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. IV 2022: 813-820
[c78]
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Jingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig, Steven L. Waslander:
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes. Robotics: Science and Systems 2022
2021
[c77]
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Anas Mahmoud, Steven L. Waslander:
Sequential Fusion via Bounding Box and Motion PointPainting for 3D Objection Detection. CRV 2021: 9-16
[c76]
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  - conf/cvpr/ReadingHCW21
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Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander:
Categorical Depth Distribution Network for Monocular 3D Object Detection. CVPR 2021: 8555-8564
[c75]
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  - conf/iccvw/RebelloLW21
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Jason Rebello, Chunshang Li, Steven L. Waslander:
DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online Calibration. ICCVW 2021: 2559-2568
[c74]
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Ali Harakeh, Steven L. Waslander:
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. ICLR 2021
[c73]
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  - conf/iros/YangGLW21
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Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander:
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking. IROS 2021: 9788-9795
[c72]
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Jordan S. K. Hu, Steven L. Waslander:
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. ITSC 2021: 2703-2710
[c71]
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  - conf/itsc/CarrilloW21
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Juan Carrillo, Steven L. Waslander:
UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection. ITSC 2021: 3799-3806
2020
[c70]
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  - conf/amcc/AkhtarSW20
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Adeel Akhtar, Sajid Saleem, Steven L. Waslander:
Feedback Linearizing Controllers on SO(3) using a Global Parametrization. ACC 2020: 1441-1446
[c69]
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  - conf/crv/0003KPW20
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Sean Walsh, Jason Ku, Alex D. Pon, Steven L. Waslander:
Leveraging Temporal Data for Automatic Labelling of Static Vehicles. CRV 2020: 134-141
[c68]
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  - conf/crv/LiW20
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Chunshang Li, Steven L. Waslander:
Towards End-to-end Learning of Visual Inertial Odometry with an EKF. CRV 2020: 190-197
[c67]
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Ali Harakeh, Michael Smart, Steven L. Waslander:
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. ICRA 2020: 87-93
[c66]
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Jason Rebello, Angus Fung, Steven L. Waslander:
AC/DCC : Accurate Calibration of Dynamic Camera Clusters for Visual SLAM. ICRA 2020: 6035-6041
[c65]
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  - conf/icra/PonKLW20
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Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander:
Object-Centric Stereo Matching for 3D Object Detection. ICRA 2020: 8383-8389
[c64]
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Chengyao Li, Jason Ku, Steven L. Waslander:
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. IROS 2020: 5776-5783
[c63]
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  - conf/itsc/WangCWLG20
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Wei Wang, Huiyan Chen, Steven L. Waslander, Jiangnan Li, Jianwei Gong:
Controller-Aware Path optimization for Enhancing Path Tracking Performance. ITSC 2020: 1-7
[c62]
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Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander:
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. IV 2020: 341-347
2019
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Pranav Ganti, Steven L. Waslander:
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM. CRV 2019: 121-128
[c60]
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  - conf/crv/BurnettSWBS19
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Keenan Burnett, Sepehr Samavi, Steven L. Waslander, Timothy D. Barfoot, Angela P. Schoellig:
aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge. CRV 2019: 209-216
[c59]
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Jason Ku, Alex D. Pon, Steven L. Waslander:
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. CVPR 2019: 11867-11876
[c58]
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Jason Ku, Alex D. Pon, Sean Walsh, Steven L. Waslander:
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation. IROS 2019: 3459-3466
[c57]
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Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander:
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. IV 2019: 2522-2529
[c56]
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Chengyao Li, Steven L. Waslander:
Visual Measurement Integrity Monitoring for UAV Localization. SSRR 2019: 22-29
2018
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Jason Ku, Ali Harakeh, Steven L. Waslander:
In Defense of Classical Image Processing: Fast Depth Completion on the CPU. CRV 2018: 16-22
[c54]
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Alex D. Pon, Oles Andrienko, Ali Harakeh, Steven L. Waslander:
A Hierarchical Deep Architecture and Mini-batch Selection Method for Joint Traffic Sign and Light Detection. CRV 2018: 102-109
[c53]
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Leonid Koppel, Steven L. Waslander:
Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++. CRV 2018: 126-133
[c52]
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Nicholas Charron, Stephen Phillips, Steven L. Waslander:
De-noising of Lidar Point Clouds Corrupted by Snowfall. CRV 2018: 254-261
[c51]
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Christopher L. Choi, Jason Rebello, Leonid Koppel, Pranav Ganti, Arun Das, Steven L. Waslander:
Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters. ICRA 2018: 2126-2133
[c50]
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Nima Mohajerin, Melissa Mozifian, Steven Lake Waslander:
Deep Learning a Quadrotor Dynamic Model for Multi-Step Prediction. ICRA 2018: 2454-2459
[c49]
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Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven L. Waslander:
Joint 3D Proposal Generation and Object Detection from View Aggregation. IROS 2018: 1-8
[c48]
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Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander, Krzysztof Czarnecki:
Unlimited Road-scene Synthetic Annotation (URSA) Dataset. ITSC 2018: 985-992
[c47]
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Yu Zhang, Huiyan Chen, Steven L. Waslander, Tian Yang, Sheng Zhang, Guangming Xiong, Kai Liu:
Speed Planning for Autonomous Driving via Convex Optimization. ITSC 2018: 1089-1094
[c46]
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Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander:
Leveraging Pre-Trained 3D Object Detection Models for Fast Ground Truth Generation. ITSC 2018: 2504-2510
[c45]
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  - conf/mwscas/SheikhpourAW18
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Soroush Sheikhpour, Mohamed M. Atia, Steven L. Waslander:
A Flexible Simulation and Design Environment for IMU/GNSS Sensors Integration. MWSCAS 2018: 472-475
2017
[c44]
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Devinder Kumar, Helmut Neher, Arun Das, David A. Clausi, Steven Lake Waslander:
Condition and Viewpoint Invariant Omni-Directional Place Recognition Using CNN. CRV 2017: 32-39
[c43]
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Nima Mohajerin, Steven Lake Waslander:
State initialization for recurrent neural network modeling of time-series data. IJCNN 2017: 2330-2337
[c42]
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  - conf/iros/RebelloDW17
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Jason Rebello, Arun Das, Steven Lake Waslander:
Autonomous active calibration of a dynamic camera cluster using next-best-view. IROS 2017: 1484-1489
[c41]
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  - conf/itsc/DakibayW17
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Assylbek Dakibay, Steven Lake Waslander:
Aggressive vehicle control using polynomial spiral curves. ITSC 2017: 1-7
[c40]
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  - conf/itsc/SarkarCALW17
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Atrisha Sarkar, Krzysztof Czarnecki, Matt Angus, Changjian Li, Steven Lake Waslander:
Trajectory prediction of traffic agents at urban intersections through learned interactions. ITSC 2017: 1-8
2016
[c39]
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Stanley Brown, Steven Lake Waslander:
The constriction decomposition method for coverage path planning. IROS 2016: 3233-3238
[c38]
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  - conf/iros/DasW16
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Arun Das, Steven Lake Waslander:
Calibration of a dynamic camera cluster for multi-camera visual SLAM. IROS 2016: 4637-4642
2015
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  - conf/fsr/DasKBW15
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Arun Das, Devinder Kumar, Abdelhamid El Bably, Steven Lake Waslander:
Taming the North: Multi-camera Parallel Tracking and Mapping in Snow-Laden Environments. FSR 2015: 345-359
[c36]
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Arun Das, Steven Lake Waslander:
Entropy based keyframe selection for Multi-Camera Visual SLAM. IROS 2015: 3676-3681
[c35]
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Sirui Song, Andy Wong, Jan Paul Huissoon, Steven Lake Waslander:
Autonomous Vehicle Control Near the Limit of Friction. ITSC 2015: 1008-1013
[c34]
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Michael Smart, Steven Lake Waslander:
Stereo Augmented Detection of Lane Marking Boundaries. ITSC 2015: 2491-2496
[c33]
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Nima Mohajerin, Steven Lake Waslander:
Modelling a Quadrotor Vehicle Using a Modular Deep Recurrent Neural Network. SMC 2015: 376-381
2014
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  - conf/crv/LingCDW14
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Kevin Ling, Derek Chow, Arun Das, Steven Lake Waslander:
Autonomous Maritime Landings for Low-Cost VTOL Aerial Vehicles. CRV 2014: 32-39
[c31]
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  - conf/crv/AhujaW14
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Siddhant Ahuja, Steven Lake Waslander:
3D Scan Registration Using Curvelet Features. CRV 2014: 77-83
[c30]
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  - conf/icra/DasW14
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Arun Das, Steven Lake Waslander:
Outlier rejection for visual odometry using parity space methods. ICRA 2014: 3613-3618
[c29]
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  - conf/icra/ServosW14
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James Servos, Steven Lake Waslander:
Multi channel generalized-ICP. ICRA 2014: 3644-3649
[c28]
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  - conf/iros/AbeywardenaWDWK14
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Dinuka M. W. Abeywardena, Zhan Wang, Gamini Dissanayake, Steven Lake Waslander, Sarath Kodagoda:
Model-aided state estimation for quadrotor micro air vehicles amidst wind disturbances. IROS 2014: 4813-4818
[c27]
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Feyyaz Emre Sancar, Baris Fidan, Jan Paul Huissoon, Steven Lake Waslander:
MPC based collaborative adaptive cruise control with rear end collision avoidance. Intelligent Vehicles Symposium 2014: 516-521
[c26]
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Sirui Song, Michael Chi Kam Chun, Jan Paul Huissoon, Steven Lake Waslander:
Pneumatic trail based slip angle observer with Dugoff tire model. Intelligent Vehicles Symposium 2014: 1127-1132
[c25]
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Nima Mohajerin, Steven Lake Waslander:
Modular deep Recurrent Neural Network: Application to quadrotors. SMC 2014: 1374-1379
[c24]
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  - conf/wafr/MathewSW14
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Neil Mathew, Stephen L. Smith, Steven Lake Waslander:
Optimal Path Planning in Cooperative Heterogeneous Multi-robot Delivery Systems. WAFR 2014: 407-423
2013
[c23]
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Adeel Akhtar, Steven Lake Waslander, Christopher Nielsen:
Fault tolerant path following for a quadrotor. CDC 2013: 847-852
[c22]
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  - conf/crv/ScharfenbergerWZC13
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Christian Scharfenberger, Steven Lake Waslander, John S. Zelek, David A. Clausi:
Existence Detection of Objects in Images for Robot Vision Using Saliency Histogram Features. CRV 2013: 75-82
[c21]
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Peiyi Chen, Thomas Reidemeister, Sebastian Fischmeister, Yassir Rizwan, Steven Lake Waslander:
Hexacopters for everyone: online access to advanced robotics platforms for your research. ICCPS 2013: 247
[c20]
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Arun Das, James Servos, Steven Lake Waslander:
3D scan registration using the Normal Distributions Transform with ground segmentation and point cloud clustering. ICRA 2013: 2207-2212
[c19]
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Neil Mathew, Stephen L. Smith, Steven Lake Waslander:
A graph-based approach to multi-robot rendezvous for recharging in persistent tasks. ICRA 2013: 3497-3502
[c18]
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James Servos, Michael Smart, Steven Lake Waslander:
Underwater stereo SLAM with refraction correction. IROS 2013: 3350-3355
2012
[c17]
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  - conf/cdc/AkhtarWN12
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Adeel Akhtar, Steven Lake Waslander, Christopher Nielsen:
Path following for a quadrotor using dynamic extension and transverse feedback linearization. CDC 2012: 3551-3556
[c16]
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  - conf/ei-iriacv/Chen0MW12
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Peiyi Chen, Arun Das, Prasenjit Mukherjee, Steven L. Waslander:
Way-point navigation for a skid-steer vehicle in unknown environments. Intelligent Robots and Computer Vision: Algorithms and Techniques 2012: 83010N
[c15]
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John Michael Daly, Michael J. Tribou, Steven Lake Waslander:
A nonlinear path following controller for an underactuated unmanned surface vessel. IROS 2012: 82-87
[c14]
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  - conf/iros/DasW12
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Arun Das, Steven Lake Waslander:
Scan registration with multi-scale k-means normal distributions transform. IROS 2012: 2705-2710
2011
[c13]
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  - conf/ais2/JavedSWMO11
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Mohammad Azam Javed, Jonathan Spike, Steven Lake Waslander, William W. Melek, William S. Owen:
Argo Vehicle Simulation of Motion Driven 3D LIDAR Detection and Environment Awareness. AIS 2011: 284-293
[c12]
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  - conf/amcc/RizwanWN11
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Yassir Rizwan, Steven L. Waslander, Christopher Nielsen:
Nonlinear aircraft modeling and controller design for target tracking. ACC 2011: 3191-3196
[c11]
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  - conf/iros/DalyMW11
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John Michael Daly, Yan Ma, Steven Lake Waslander:
Coordinated landing of a quadrotor on a skid-steered ground vehicle in the presence of time delays. IROS 2011: 4961-4966
2010
[c10]
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Alireza Kasaiezadeh, Amir Khajepour, Steven L. Waslander:
Spiral Bacterial Foraging Optimization method. ACC 2010: 4845-4850
[c9]
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  - conf/amcc/GariepyW10
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Ryan Gariepy, Steven L. Waslander:
Position control of a 6×6 ATV using a MIMO fuzzy controller. ACC 2010: 6943-6948
2009
[c8]
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  - conf/icra/HuangHWT09
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Haomiao Huang, Gabriel M. Hoffmann, Steven Lake Waslander, Claire J. Tomlin:
Aerodynamics and control of autonomous quadrotor helicopters in aggressive maneuvering. ICRA 2009: 3277-3282
[c7]
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  - conf/iros/HoffmannWVHGPT09
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Gabriel M. Hoffmann, Steven Lake Waslander, Michael P. Vitus, Haomiao Huang, Jeremy H. Gillula, Vijay Pradeep, Claire J. Tomlin:
Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control. IROS 2009: 404-405
2008
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  - conf/cdc/VitusWT08
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Michael P. Vitus, Steven Lake Waslander, Claire J. Tomlin:
Locally optimal decomposition for autonomous obstacle avoidance with the Tunnel-MILP algorithm. CDC 2008: 540-545
2007
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Steven L. Waslander, Claire J. Tomlin:
Convergence of Lump-Sum Markets with Price-Anticipating Agents. ACC 2007: 468-473
2006
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Steven L. Waslander, Robin L. Raffard, Claire J. Tomlin:
Toward efficient and equitable distributed air traffic flow control. ACC 2006: 1-6
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Gabriel M. Hoffmann, Steven L. Waslander, Claire J. Tomlin:
Mutual Information Methods with Particle Filters for Mobile Sensor Network Control. CDC 2006: 1019-1024
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Steven L. Waslander, Claire J. Tomlin:
Efficient Market-Based Air Traffic Flow Control with Competing Airlines. CDC 2006: 2843-2848
2005
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Steven Lake Waslander, Gabriel M. Hoffmann, Jung Soon Jang, Claire J. Tomlin:
Multi-agent quadrotor testbed control design: integral sliding mode vs. reinforcement learning. IROS 2005: 3712-3717

Informal and Other Publications

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What is the meaning of the colors in the publication lists?

2024
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Evan D. Cook, Marc-Antoine Lavoie, Steven L. Waslander:
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows. CoRR abs/2402.06537 (2024)
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Chang Won Lee, Steven L. Waslander:
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking. CoRR abs/2402.12303 (2024)
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Sandro Papais, Robert Ren, Steven L. Waslander:
SWTrack: Multiple Hypothesis Sliding Window 3D Multi-Object Tracking. CoRR abs/2402.17892 (2024)
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  - journals/corr/abs-2403-11492
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Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu:
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. CoRR abs/2403.11492 (2024)
2023
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  - journals/corr/abs-2301-05709
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Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander:
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CoRR abs/2301.05709 (2023)
[i60]
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  - journals/corr/abs-2303-06766
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Jun Yang, Jason Rebello, Steven L. Waslander:
Next-Best-View Selection for Robot Eye-in-Hand Calibration. CoRR abs/2303.06766 (2023)
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  - journals/corr/abs-2303-10729
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Nicholas Charron, Steven L. Waslander, Sriram Narasimhan:
A Target-Based Extrinsic Calibration Framework for Non-Overlapping Camera-Lidar Systems Using a Motion Capture System. CoRR abs/2303.10729 (2023)
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  - journals/corr/abs-2304-08645
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Jacob Deery, Chang Won Lee, Steven L. Waslander:
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation. CoRR abs/2304.08645 (2023)
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  - journals/corr/abs-2304-14446
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Jenny Xu, Steven L. Waslander:
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering. CoRR abs/2304.14446 (2023)
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Barza Nisar, Hruday Vishal Kanna Anand, Steven L. Waslander:
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection. CoRR abs/2304.14460 (2023)
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  - journals/corr/abs-2305-04412
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Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander:
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. CoRR abs/2305.04412 (2023)
[i54]
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  - journals/corr/abs-2305-10507
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Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu:
ReasonNet: End-to-End Driving with Temporal and Global Reasoning. CoRR abs/2305.10507 (2023)
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  - journals/corr/abs-2306-11739
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Ziwei Liao, Steven L. Waslander:
Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior. CoRR abs/2306.11739 (2023)
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  - journals/corr/abs-2307-00488
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Jingxing Qian, Veronica Chatrath, James Servos, Aaron Mavrinac, Wolfram Burgard, Steven L. Waslander, Angela P. Schoellig:
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments. CoRR abs/2307.00488 (2023)
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Marc-Antoine Lavoie, Steven L. Waslander:
Class Instance Balanced Learning for Long-Tailed Classification. CoRR abs/2307.05322 (2023)
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Jun Yang, Jian Yao, Steven L. Waslander:
Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera. CoRR abs/2308.14665 (2023)
[i49]
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  - journals/corr/abs-2309-09118
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Ziwei Liao, Jun Yang, Jingxing Qian, Angela P. Schoellig, Steven L. Waslander:
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors. CoRR abs/2309.09118 (2023)
[i48]
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  - journals/corr/abs-2311-10983
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Ziwei Liao, Jialiang Zhu, Chunyu Wang, Han Hu, Steven L. Waslander:
Multiple View Geometry Transformers for 3D Human Pose Estimation. CoRR abs/2311.10983 (2023)
[i47]
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Hao Shao, Yuxuan Hu, Letian Wang, Steven L. Waslander, Yu Liu, Hongsheng Li:
LMDrive: Closed-Loop End-to-End Driving with Large Language Models. CoRR abs/2312.07488 (2023)
2022
[i46]
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Kinjal Patel, Steven L. Waslander:
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks. CoRR abs/2202.09664 (2022)
[i45]
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  - journals/corr/abs-2202-13263
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Jun Yang, Steven L. Waslander:
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects. CoRR abs/2202.13263 (2022)
[i44]
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Anas Mahmoud, Jordan S. K. Hu, Steven L. Waslander:
Dense Voxel Fusion for 3D Object Detection. CoRR abs/2203.00871 (2022)
[i43]
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Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander:
Point Density-Aware Voxels for LiDAR 3D Object Detection. CoRR abs/2203.05662 (2022)
[i42]
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  - journals/corr/abs-2205-01202
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Jingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig, Steven L. Waslander:
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes. CoRR abs/2205.01202 (2022)
[i41]
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  - journals/corr/abs-2206-00214
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Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven Lake Waslander:
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. CoRR abs/2206.00214 (2022)
[i40]
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  - journals/corr/abs-2208-08041
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John Willes, Cody Reading, Steven L. Waslander:
InterTrack: Interaction Transformer for 3D Multi-Object Tracking. CoRR abs/2208.08041 (2022)
[i39]
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  - journals/corr/abs-2210-11554
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Jun Yang, Wenjie Xue, Sahar Ghavidel, Steven L. Waslander:
6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization. CoRR abs/2210.11554 (2022)
[i38]
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  - journals/corr/abs-2211-13724
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Ali Harakeh, Jordan S. K. Hu, Naiqing Guan, Steven L. Waslander, Liam Paull:
Estimating Regression Predictive Distributions with Sample Networks. CoRR abs/2211.13724 (2022)
2021
[i37]
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Ali Harakeh, Steven L. Waslander:
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. CoRR abs/2101.05036 (2021)
[i36]
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  - journals/corr/abs-2102-04341
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Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly:
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. CoRR abs/2102.04341 (2021)
[i35]
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  - journals/corr/abs-2103-01100
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Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander:
Categorical Depth Distribution Network for Monocular 3D Object Detection. CoRR abs/2103.01100 (2021)
[i34]
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  - journals/corr/abs-2103-10968
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Jun Yang, Dong Li, Steven L. Waslander:
Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking. CoRR abs/2103.10968 (2021)
[i33]
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  - journals/corr/abs-2105-04112
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Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander:
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking. CoRR abs/2105.04112 (2021)
[i32]
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  - journals/corr/abs-2107-13682
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John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven Lake Waslander:
Bayesian Embeddings for Few-Shot Open World Recognition. CoRR abs/2107.13682 (2021)
[i31]
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  - journals/corr/abs-2110-04182
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Samuel Looper, Steven L. Waslander:
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction. CoRR abs/2110.04182 (2021)
[i30]
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  - journals/corr/abs-2110-05561
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Juan Carrillo, Steven L. Waslander:
UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection. CoRR abs/2110.05561 (2021)
[i29]
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  - journals/corr/abs-2112-00050
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Jordan S. K. Hu, Steven L. Waslander:
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. CoRR abs/2112.00050 (2021)
2020
[i28]
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  - journals/corr/abs-2001-09297
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Mirmojtaba Gharibi, Steven L. Waslander, Raouf Boutaba:
Vehicle Scheduling Problem. CoRR abs/2001.09297 (2020)
[i27]
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  - journals/corr/abs-2001-10117
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Matthew Pitropov, Danson Evan Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, Steven Lake Waslander:
Canadian Adverse Driving Conditions Dataset. CoRR abs/2001.10117 (2020)
[i26]
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  - journals/corr/abs-2003-05505
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Chengyao Li, Jason Ku, Steven L. Waslander:
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. CoRR abs/2003.05505 (2020)
[i25]
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  - journals/corr/abs-2009-08577
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Tim D. Barfoot, Jessica Burgner-Kahrs, Eric D. Diller, Animesh Garg, Andrew A. Goldenberg, Jonathan Kelly, Xinyu Liu, Hani E. Naguib, Goldie Nejat, Angela P. Schoellig, Florian Shkurti, Hallie Siegel, Yu Sun, Steven L. Waslander:
Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors. CoRR abs/2009.08577 (2020)
[i24]
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  - journals/corr/abs-2011-10671
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Di Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer:
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. CoRR abs/2011.10671 (2020)
[i23]
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  - journals/corr/abs-2012-00218
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Shatil Rahman, Steven L. Waslander:
Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots. CoRR abs/2012.00218 (2020)
2019
[i22]
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Ali Harakeh, Michael Smart, Steven L. Waslander:
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. CoRR abs/1903.03838 (2019)
[i21]
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  - journals/corr/abs-1904-01690
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Jason Ku, Alex D. Pon, Steven L. Waslander:
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. CoRR abs/1904.01690 (2019)
[i20]
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  - journals/corr/abs-1905-00160
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Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander:
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. CoRR abs/1905.00160 (2019)
[i19]
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Keenan Burnett, Sepehr Samavi, Steven L. Waslander, Timothy D. Barfoot, Angela P. Schoellig:
aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge. CoRR abs/1905.08758 (2019)
[i18]
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  - journals/corr/abs-1907-06777
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Jason Ku, Alex D. Pon, Sean Walsh, Steven L. Waslander:
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation. CoRR abs/1907.06777 (2019)
[i17]
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  - journals/corr/abs-1909-04838
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Mirmojtaba Gharibi, Raouf Boutaba, Steven L. Waslander:
3D traffic flow model for UAVs. CoRR abs/1909.04838 (2019)
[i16]
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  - journals/corr/abs-1909-07566
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Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander:
Object-Centric Stereo Matching for 3D Object Detection. CoRR abs/1909.07566 (2019)
[i15]
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  - journals/corr/abs-1909-07867
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Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander:
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. CoRR abs/1909.07867 (2019)
[i14]
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  - journals/corr/abs-1909-08537
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Chengyao Li, Steven L. Waslander:
Visual Measurement Integrity Monitoring for UAV Localization. CoRR abs/1909.08537 (2019)
2018
[i13]
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  - journals/corr/abs-1802-00036
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Jason Ku, Ali Harakeh, Steven Lake Waslander:
In Defense of Classical Image Processing: Fast Depth Completion on the CPU. CoRR abs/1802.00036 (2018)
[i12]
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  - journals/corr/abs-1805-01810
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Leonid Koppel, Steven Lake Waslander:
Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++. CoRR abs/1805.01810 (2018)
[i11]
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  - journals/corr/abs-1806-00526
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Nima Mohajerin, Steven Lake Waslander:
Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks. CoRR abs/1806.00526 (2018)
[i10]
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Alex D. Pon, Oles Andrienko, Ali Harakeh, Steven Lake Waslander:
A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection. CoRR abs/1806.07987 (2018)
[i9]
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  - journals/corr/abs-1807-06056
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Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander, Krzysztof Czarnecki:
Unlimited Road-scene Synthetic Annotation (URSA) Dataset. CoRR abs/1807.06056 (2018)
[i8]
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  - journals/corr/abs-1807-06072
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Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander:
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation. CoRR abs/1807.06072 (2018)
[i7]
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  - journals/corr/abs-1807-09304
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Christopher L. Choi, Jason Rebello, Leonid Koppel, Pranav Ganti, Arun Das, Steven L. Waslander:
Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters. CoRR abs/1807.09304 (2018)
[i6]
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  - journals/corr/abs-1807-09532
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Qi Chen, Lei Wang, Yifan Wu, Guangming Wu, Zhiling Guo, Steven L. Waslander:
Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings. CoRR abs/1807.09532 (2018)
[i5]
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  - journals/corr/abs-1811-11946
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Pranav Ganti, Steven L. Waslander:
Visual SLAM with Network Uncertainty Informed Feature Selection. CoRR abs/1811.11946 (2018)
2017
[i4]
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  - journals/corr/abs-1712-02294
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Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven Lake Waslander:
Joint 3D Proposal Generation and Object Detection from View Aggregation. CoRR abs/1712.02294 (2017)
2016
[i3]
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  - journals/corr/GharibiBW16
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Mirmojtaba Gharibi, Raouf Boutaba, Steven Lake Waslander:
Internet of Drones. CoRR abs/1601.01289 (2016)
2015
[i2]
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  - journals/corr/TribouWW15
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Michael J. Tribou, David W. L. Wang, Steven Lake Waslander:
Degenerate Motions in Multicamera Cluster SLAM with Non-overlapping Fields of View. CoRR abs/1506.07597 (2015)
[i1]
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  - journals/corr/AhujaIW15
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Siddhant Ahuja, Peter Iles, Steven Lake Waslander:
3D Scan Registration using Curvelet Features in Planetary Environments. CoRR abs/1509.07075 (2015)

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