Situation-aware Autonomous Driving Decision Making with Cooperative Perception on Demand (2409.01504v1)
Abstract: This paper investigates the impact of cooperative perception on autonomous driving decision making on urban roads. The extended perception range contributed by the cooperative perception can be properly leveraged to address the implicit dependencies within the vehicles, thereby the vehicle decision making performance can be improved. Meanwhile, we acknowledge the inherent limitation of wireless communication and propose a Cooperative Perception on Demand (CPoD) strategy, where the cooperative perception will only be activated when the extended perception range is necessary for proper situation-awareness. The situation-aware decision making with CPoD is modeled as a Partially Observable Markov Decision Process (POMDP) and solved in an online manner. The evaluation results demonstrate that the proposed approach can function safely and efficiently for autonomous driving on urban roads.
- S. Sivaraman, B. Morris, and M. Trivedi, “Observing on-road vehicle behavior: Issues, approaches, and perspectives,” in Intelligent Transportation Systems-(ITSC), 2013 16th International IEEE Conference on. IEEE, 2013, pp. 1772–1777.
- T. Bandyopadhyay, C. Z. Jie, D. Hsu, M. H. Ang Jr, D. Rus, and E. Frazzoli, “Intention-aware pedestrian avoidance,” in Experimental Robotics. Springer International Publishing, 2013, pp. 963–977.
- H. Li, “Cooperative perception: Application in the context of outdoor intelligent vehicle systems,” Ph.D. dissertation, Paris, ENMP, 2012.
- S.-W. Kim, B. Qin, Z. J. Chong, X. Shen, W. Liu, M. Ang, E. Frazzoli, and D. Rus, “Multivehicle cooperative driving using cooperative perception: Design and experimental validation,” IEEE Transaction on Intelligent Transportation System, 2014.
- W. Liu, S.-W. Kim, and M. H. Ang, “Situation-aware decision making for autonomous driving on urban road using online POMDP,” in Intelligent Vehicles (IV), 2015 IEEE Symposium on. IEEE, 2015.
- W. Liu, S. Kim, Z. Chong, X. Shen, and M. Ang, “Motion planning using cooperative perception on urban road,” in Robotics, Automation and Mechatronics (RAM), 2013 6th IEEE Conference on. IEEE, 2013, pp. 130–137.
- W. Liu, S.-W. Kim, K. Marczuk, and M. H. Ang, “Vehicle motion intention reasoning using cooperative perception on urban road,” in Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on. IEEE, 2014, pp. 424–430.
- M. T. Spaan and P. U. Lima, “A decision-theoretic approach to dynamic sensor selection in camera networks.” in ICAPS, 2009.
- M. T. Spaan, “Cooperative active perception using POMDPs,” in AAAI 2008 workshop on advancements in POMDP solvers, 2008.
- M. Otte and N. Correll, “Any-com multi-robot path-planning with dynamic teams: Multi-robot coordination under communication constraints,” in Experimental Robotics. Springer, 2014, pp. 743–757.
- D. Ferguson, T. M. Howard, and M. Likhachev, “Motion planning in urban environments,” Journal of Field Robotics, vol. 25, no. 11-12, pp. 939–960, 2008.
- L. Fletcher, S. Teller, E. Olson, D. Moore, Y. Kuwata, J. How, J. Leonard, I. Miller, M. Campbell, D. Huttenlocher, et al., “The mit–cornell collision and why it happened,” Journal of Field Robotics, vol. 25, no. 10, pp. 775–807, 2008.
- S. Ulbrich and M. Maurer, “Probabilistic online POMDP decision making for lane changes in fully automated driving,” in Intelligent Transportation Systems, 2013, pp. 2063–2070.
- H. Bai, S. Cai, N. Ye, D. Hsu, and W. S. Lee, “Intention-aware online POMDP planning for autonomous driving in a crowd,” in Robotics and Automation (ICRA), 2015 IEEE International Conference on. IEEE, 2015, pp. 454–460.
- C. Shaojun, “Online POMDP planning for vehicle navigation in densely populated area,” 2014.
- X. Shen, S. Pendleton, and M. H. Ang Jr., “Scalable cooperative localization with minimal sensor configuration,” in International Symposium on Distributed Autonomous Robotics System, 2014.
- W. Liu, S.-W. Kim, and M. H. Ang, “Probabilistic road context inference for autonomous vehicles,” in Robotics and Automation (ICRA), 2015 IEEE International Conference on. IEEE, 2015.
- A. Somani, N. Ye, D. Hsu, and W. S. Lee, “DESPOT: Online POMDP planning with regularization,” in Advances In Neural Information Processing Systems, 2013, pp. 1772–1780.
- M. Quigley, K. Conley, B. P. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A. Y. Ng, “Ros: an open-source robot operating system,” in ICRA Workshop on Open Source Software, 2009.
- Z. Chong, B. Qin, T. Bandyopadhyay, T. Wongpiromsarn, B. Rebsamen, P. Dai, E. Rankin, and M. H. Ang Jr, “Autonomy for mobility on demand,” Intelligent Autonomous Systems 12, pp. 671–682, 2013.
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