Search Results for author: Cillian Brewitt

Found 5 papers, 4 papers with code

Verifiable Goal Recognition for Autonomous Driving with Occlusions

1 code implementation28 Jun 2022 Cillian Brewitt, Massimiliano Tamborski, Cheng Wang, Stefano V. Albrecht

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.

Autonomous Driving

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

2 code implementations10 Mar 2021 Cillian Brewitt, Balint Gyevnar, Stefano V. Albrecht

As autonomous driving is safety-critical, it is important to have methods which are human interpretable and for which safety can be formally verified.

Autonomous Driving Robotics Multiagent Systems

Integrating Planning and Interpretable Goal Recognition for Autonomous Driving

2 code implementations6 Feb 2020 Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy

The ability to predict the intentions and driving trajectories of other vehicles is a key problem for autonomous driving.


Non-Intrusive Load Monitoring with Fully Convolutional Networks

no code implementations10 Dec 2018 Cillian Brewitt, Nigel Goddard

Non-intrusive load monitoring or energy disaggregation involves estimating the power consumption of individual appliances from measurements of the total power consumption of a home.

Computational Efficiency Non-Intrusive Load Monitoring

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