68 citations · 253 across the 21 of their papers we have counts for
6 papers · 1 filter
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…
Revealed Multi-Objective Utility Aggregation in Human Driving
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
A central design problem in game theoretic analysis is the estimation of the players' utilities. In many real-world interactive situations of human decision making, including human…
A taxonomy of strategic human interactions in traffic conflicts
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
In order to enable autonomous vehicles (AV) to navigate busy traffic situations, in recent years there has been a focus on game-theoretic models for strategic behavior planning in…
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations
Henry Chen, Robin Cohen, Kerstin Dautenhahn +2
Autonomous Vehicles (AV) will transform transportation, but also the interaction between vehicles and pedestrians. In the absence of a driver, it is not clear how an AV can communi…
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving
Krzysztof Czarnecki, Rick Salay
Perception is a safety-critical function of autonomous vehicles and machine learning (ML) plays a key role in its implementation. This position paper identifies (1) perceptual unce…
Relating Complexity-theoretic Parameters with SAT Solver Performance
Edward Zulkoski, Ruben Martins, Christoph Wintersteiger +4
Over the years complexity theorists have proposed many structural parameters to explain the surprising efficiency of conflict-driven clause-learning (CDCL) SAT solvers on a wide va…