20 citations · 48 across the 21 of their papers we have counts for
8 papers · 1 filter
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
Xin Huang, Guy Rosman, Igor Gilitschenski +4
Modeling multi-modal high-level intent is important for ensuring diversity in trajectory prediction. Existing approaches explore the discrete nature of human intent before predicti…
Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification
Ashkan Jasour, Weiqiao Han, Brian Williams
In this paper, we address the real-time risk-bounded safety verification problem of continuous-time state trajectories of autonomous systems in the presence of uncertain time-varyi…
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures
Ashkan Jasour, Xin Huang, Allen Wang +1
This paper presents fast non-sampling based methods to assess the risk for trajectories of autonomous vehicles when probabilistic predictions of other agents' futures are generated…
Risk Conditioned Neural Motion Planning
Xin Huang, Meng Feng, Ashkan Jasour +2
Risk-bounded motion planning is an important yet difficult problem for safety-critical tasks. While existing mathematical programming methods offer theoretical guarantees in the co…
Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments
Ashkan Jasour, Weiqiao Han, Brian Williams
In this paper, we address the trajectory planning problem in uncertain nonconvex static and dynamic environments that contain obstacles with probabilistic location, size, and geome…
Generalized Conflict-directed Search for Optimal Ordering Problems
Jingkai Chen, Yuening Zhang, Cheng Fang +1
Solving planning and scheduling problems for multiple tasks with highly coupled state and temporal constraints is notoriously challenging. An appealing approach to effectively deco…