most citedFast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures

2 citations · 4 across the 3 of their papers we have counts for

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cs.RO2020★ 2 cited

Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures

Allen Wang, Xin Huang, Ashkan Jasour +1

This paper presents fast non-sampling based methods to assess the risk of trajectories for autonomous vehicles when probabilistic predictions of other agents' futures are generated…

cs.RO2020

Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles under Agent Uncertainty

Allen Wang, Ashkan Jasour, Brian Williams

Agent behavior is arguably the greatest source of uncertainty in trajectory planning for autonomous vehicles. This problem has motivated significant amounts of work in the behavior…