9 citations · 10 across the 5 of their papers we have counts for
5 papers
Learning-based Initialization Strategy for Safety of Multi-Vehicle Systems
Jennifer C. Shih, Akshara Rai, Laurent El Ghaoui
Multi-vehicle collision avoidance is a highly crucial problem due to the soaring interests of introducing autonomous vehicles into the real world in recent years. The safety of the…
Reachability-based Safe Planning for Multi-Vehicle Systems withMultiple Targets
Jennifer C. Shih, Laurent El Ghaoui
Recently there have been a lot of interests in introducing UAVs for a wide range of applications, making ensuring safety of multi-vehicle systems a highly crucial problem. Hamilton…
Predicting Stochastic Human Forward Reachable Sets Based on Learned Human Behavior
Jennifer Shih
With the recent surge of interest in introducing autonomous vehicles to the everyday lives of people, developing accurate and generalizable algorithms for predicting human behavior…
A Hybrid Framework for Multi-Vehicle Collision Avoidance
Aparna Dhinakaran, Mo Chen, Glen Chou +2
With the recent surge of interest in UAVs for civilian services, the importance of developing tractable multi-agent analysis techniques that provide safety and performance guarante…
Multi-Vehicle Collision Avoidance via Hamilton-Jacobi Reachability and Mixed Integer Programming
Mo Chen, Jennifer C. Shih, Claire J. Tomlin
Multi-agent differential games are important and useful tools for analyzing many practical problems. With the recent surge of interest in using UAVs for civil purposes, the importa…