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ORCIDCIVTS 2011: Paris, France
- 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2011, Paris, France, April 11-15, 2011. IEEE 2011, ISBN 978-1-4244-9976-2
Computational Intelligence for Mobile Robots
- Danil V. Prokhorov:
Overview of CI research in automotive ITS. 1-7 - Andrea Cherubini, Fabien Spindler, François Chaumette:
A redundancy-based approach for visual navigation with collision avoidance. 8-15 - Yasir Niaz Khan, Philippe Komma, Karsten Bohlmann, Andreas Zell:
Grid-based visual terrain classification for outdoor robots using local features. 16-22
Vehicles and Transportation Systems 1
- Khairul Alam, Tapabrata Ray
, Sreenatha G. Anavatti:
Design of a toy submarine using underwater vehicle design optimization framework. 23-29 - Luka Eciolaza, Gracián Triviño, Beatriz Delgado, Josefa Rojas, Matias Sevillano:
Fuzzy linguistic reporting in driving simulators. 30-37 - Habib M. Kammoun, Ilhem Kallel, Adel M. Alimi, Jorge Casillas:
Improvement of the road traffic management by an ant-hierarchical fuzzy system. 38-45 - Luigi del Re, Markus Hirsch, Daniel Alberer, Stephan M. Winkler:
The role of data choice in data driven identification for online emission models. 46-51
Vehicles and Transportation Systems 2
- Sabeur Elkosantini, Salima Mnif, Habib Chabchoub:
A system for the traffic control in signposted junctions. 52-58 - Dante Papada, Kathryn W. Jablokow:
Conceptual design of a driving habit recognition framework. 59-66 - Stéphanie Lefevre, Javier Ibañez-Guzmán, Christian Laugier:
Context-based estimation of driver intent at road intersections. 67-72 - Olivier Pietquin, Fabio Tango, Raghav Aras:
Batch reinforcement learning for optimizing longitudinal driving assistance strategies. 73-79 - Ruoqian Liu, Shen Xu, Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips:
Real time vehicle speed predition using gas-kinetic traffic modeling. 80-86 - Dimitar P. Filev, Fling Tseng, Johannes Kristinsson, Ryan McGee:
Contextual on-board learning and prediction of vehicle destinations. 87-91
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