activity
20192021
most citedRule-based Optimal Control for Autonomous Driving

4 citations · 8 across the 5 of their papers we have counts for

collaborators
Showing cs.ROShow all

5 papers · 1 filter

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…

cs.RO20192 cited

Resilient Sensor Architecture Design and Tradespace Analysis for Autonomous Vehicle Localization and Mapping

Anne Collin, Antonio Terán Espinoza

As autonomous cars are rolled out into new environments, their ability to solve the simultaneous localization and mapping (SLAM) problem becomes critical. In order to tackle this p…