Towards Responsibility-Sensitive Safety of Automated Vehicles with Reachable Set Analysis
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[1] Matthias Althoff,et al. SPOT: A tool for set-based prediction of traffic participants , 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).
[2] Matthias Althoff,et al. Set-Based Prediction of Traffic Participants on Arbitrary Road Networks , 2016, IEEE Transactions on Intelligent Vehicles.
[3] Julius Ziegler,et al. Making Bertha Drive—An Autonomous Journey on a Historic Route , 2014, IEEE Intelligent Transportation Systems Magazine.
[4] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Christoph Stiller,et al. Automated Driving in Uncertain Environments: Planning With Interaction and Uncertain Maneuver Prediction , 2018, IEEE Transactions on Intelligent Vehicles.
[6] Amnon Shashua,et al. On a Formal Model of Safe and Scalable Self-driving Cars , 2017, ArXiv.
[7] Martin Lauer,et al. Tackling Occlusions & Limited Sensor Range with Set-based Safety Verification , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).
[8] Matthias Althoff,et al. Interaction-aware occupancy prediction of road vehicles , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).
[9] Julius Ziegler,et al. Lanelets: Efficient map representation for autonomous driving , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[10] Matthias Althoff,et al. Computationally Efficient Fail-safe Trajectory Planning for Self-driving Vehicles Using Convex Optimization , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).
[11] Ji Wan,et al. Multi-view 3D Object Detection Network for Autonomous Driving , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Helbing,et al. Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.