235 citations · 850 across the 47 of their papers we have counts for
6 papers · 1 filter
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation
Scott Larter, Rodrigo Queiroz, Sean Sedwards +2
Modelling pedestrian behavior is crucial in the development and testing of autonomous vehicles. In this work, we present a hierarchical pedestrian behavior model that generates hig…
A Driver-Vehicle Model for ADS Scenario-based Testing
Rodrigo Queiroz, Divit Sharma, Ricardo Caldas +4
Scenario-based testing for automated driving systems (ADS) must be able to simulate traffic scenarios that rely on interactions with other vehicles. Although many languages for hig…
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames
Maximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki
A particular challenge for both autonomous and human driving is dealing with risk associated with dynamic occlusion, i.e., occlusion caused by other vehicles in traffic. Based on t…
Universally Safe Swerve Manoeuvres for Autonomous Driving
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
This paper characterizes safe following distances for on-road driving when vehicles can avoid collisions by either braking or by swerving into an adjacent lane. In particular, we f…
Design Space of Behaviour Planning for Autonomous Driving
Marko Ilievski, Sean Sedwards, Ashish Gaurav +6
We explore the complex design space of behaviour planning for autonomous driving. Design choices that successfully address one aspect of behaviour planning can critically constrain…
Learning a Lattice Planner Control Set for Autonomous Vehicles
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
This paper introduces a method to compute a sparse lattice planner control set that is suited to a particular task by learning from a representative dataset of vehicle paths. To do…