Closed-loop safety assessment of uncertain roadmaps-Reference-Cited by-同舟云学术

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Closed-loop safety assessment of uncertain roadmaps

Published:2015-07-17 Issue:2 Volume:40 Page:267-289
ISSN:0929-5593
Container-title:Autonomous Robots
language:en
Short-container-title:Auton Robot

Author:

Althoff Daniel,Weber Bernhard,Wollherr Dirk,Buss Martin

Funder

Bernstein Center for Computational Neuroscience Munich (DE)

Institute for Advanced Study, Technische Universitaet Muenchen

Deutsche Forschungsgemeinschaft (DE)

Seventh Framework Programme (BE)

European Research Council (BE)

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10514-015-9452-1.pdf

Reference56 articles.

1. Althoff, D., Althoff, M., Wollherr, D., & Buss, M. (2010). Probabilistic collision state checker for crowded environments. In Proceedings of the IEEE international conference on robotics and automation (pp. 1492–1498).

2. Althoff, D., Buss, M., Lawitzky, A., Werling, M., & Wollherr, D. (2012). On-line trajectory generation for safe and optimal vehicle motion planning. In: Autonomous Mobile Systems, Informatik aktuell (pp. 99–107). Berlin Heidelberg: Springer.

3. Althoff, D., Kuffner, J. J., Wollherr, D., & Buss, M. (2011). Safety assessment of robot trajectories for navigation in uncertain and dynamic environments. Springer Autonomous Robots, 32, 285–302. SI Motion Safety for Robots.

4. Amato, N. M., Bayazit, O. B., Dale, L. K., Jones, C., & Vallejo, D. (2000). Choosing good distance metrics and local planners for probabilistic roadmap methods. IEEE Transactions on Robotics & Automation, 16, 442–447.

5. Aoude, G., Luders, B., Joseph, J., Roy, N., & How, J. (2013). Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns. Autonomous Robots, 35(1), 51–76.

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