most citedRule-based Optimal Control for Autonomous Driving

4 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2021

The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior

Bassam Helou, Aditya Dusi, Anne Collin +7

Autonomous vehicles must balance a complex set of objectives. There is no consensus on how they should do so, nor on a model for specifying a desired driving behavior. We created a…

cs.RO20212 cited

Rule-based Evaluation and Optimal Control for Autonomous Driving

Wei Xiao, Noushin Mehdipour, Anne Collin +4

We develop optimal control strategies for autonomous vehicles (AVs) that are required to meet complex specifications imposed as rules of the road (ROTR) and locally specific cultur…

cs.RO2021

Plane and Sample: Maximizing Information about Autonomous Vehicle Performance using Submodular Optimization

Anne Collin, Amitai Y. Bin-Nun, Radboud Duintjer Tebbens

As autonomous vehicles (AVs) take on growing Operational Design Domains (ODDs), they need to go through a systematic, transparent, and scalable evaluation process to demonstrate th…

cs.RO2021

Safety of the Intended Driving Behavior Using Rulebooks

Anne Collin, Artur Bilka, Scott Pendleton +1

Autonomous Vehicles (AVs) are complex systems that drive in uncertain environments and potentially navigate unforeseeable situations. Safety of these systems requires not only an a…

cs.RO20214 cited

Rule-based Optimal Control for Autonomous Driving

Wei Xiao, Noushin Mehdipour, Anne Collin +4

We develop optimal control strategies for Autonomous Vehicles (AVs) that are required to meet complex specifications imposed by traffic laws and cultural expectations of reasonable…