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Cillian Brewitt

3 accepted papers

2023

Verifiable Goal Recognition for Autonomous Driving with Occlusions

IROS 2023poster

Goal recognition (GR) involves inferring the goals of other vehicles, such as a certain junction exit, which can enable more accurate prediction of their future behaviour. In autonomous driving, vehicles can encounter many different scenarios and the environment may be partially observable due to oc…

Cited by 13SourcecodeScholar
2021

GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving

IROS 2021poster

It is important for autonomous vehicles to have the ability to infer the goals of other vehicles (goal recognition), in order to safely interact with other vehicles and predict their future trajectories. This is a difficult problem, especially in urban environments with interactions between many veh…

Cited by 39SourcecodeScholar
2021

Interpretable Goal-based Prediction and Planning for Autonomous Driving

ICRA 2021poster

We propose an integrated prediction and planning system for autonomous driving which uses rational inverse planning to recognise the goals of other vehicles. Goal recognition informs a Monte Carlo Tree Search (MCTS) algorithm to plan optimal maneuvers for the ego vehicle. Inverse planning and MCTS u…

Cited by 79SourceScholar