activity
20202023
most citedNon-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles under Agent Uncertainty

10 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2023★ 1 cited

JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models

Peike Li, Boyu Chen, Yao Yao +3

Music generation has attracted growing interest with the advancement of deep generative models. However, generating music conditioned on textual descriptions, known as text-to-musi…

cs.LG2021★ 1 cited

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…

eess.SY2021★ 1 cited

Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems

Ashkan Jasour, Allen Wang, Brian C. Williams

In this paper, we address the problem of uncertainty propagation through nonlinear stochastic dynamical systems. More precisely, given a discrete-time continuous-state probabilisti…

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…

eess.SY2020★ 8 cited

Moment State Dynamical Systems for Nonlinear Chance-Constrained Motion Planning

Allen Wang, Ashkan Jasour, Brian Williams

Chance-constrained motion planning requires uncertainty in dynamics to be propagated into uncertainty in state. When nonlinear models are used, Gaussian assumptions on the state di…

cs.RO2020★ 10 cited

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…