3 papers
cs.AI2024
A Rule-Based Behaviour Planner for Autonomous Driving
Bouchard Frederic, Sedwards Sean, Czarnecki Krzysztof
Autonomous vehicles require highly sophisticated decision-making to determine their motion. This paper describes how such functionality can be achieved with a practical rule engine…
cs.AI2024
Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous Driving
Atrisha Sarkar, Krzysztof Czarnecki
With autonomous vehicles (AV) set to integrate further into regular human traffic, there is an increasing consensus on treating AV motion planning as a multi-agent problem. However…
cs.RO2024
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…