A representation method based on the probability of collision for safe robot navigation in domestic environments
Author:
Funder
Eindhoven University of Technology
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/article/10.1007/s10514-017-9653-x/fulltext.html
Reference31 articles.
1. Alami, R., Siméon, T., & Madhava Krishna, K. (2002). On the influence of sensor capacities and environment dynamics onto collision-free motion plans. In IEEE/RSJ international conference intelligent robots and systems (Vol. 3, pp. 2395–2400).
2. Althoff, D., Althoff, M., Wollherr, D., & Buss, M. (2010). Probabilistic collision state checker for crowded environments. In 2010 IEEE international conference on robotics and automation (pp 1492–1498).
3. Althoff, M., & Dolan, J. (2014). Online verification of automated road vehicles using reachability analysis. IEEE Transactions on Robotics, 30(4), 903–918.
4. Althoff, M., & Mergel, A. (2011). Comparison of markov chain abstraction and monte carlo simulation for the safety assessment of autonomous cars. IEEE Transactions on Intelligent Transportation Systems, 12(4), 1237–1247.
5. Bautin, A., Martinez-Gomez, L., & Fraichard, T. (2010). Inevitable collision states: A probabilistic perspective. In 2010 IEEE international conference on robotics and automation (pp. 4022–4027).
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