Reqirements for Defence Standard 00-55. - Andrew Bradley (Z User Workshop, 1992)

1.5 Degrees of Separation: Computer Science Education in the Age of the Anthropocene. - Ian Pollock; Bedour Alshaigy; Andrew Bradley; Birgit R. Krogstie; Viraj Kumar; Linda M. Ott; Anne-Kathrin Peters; Charles Riedesel; Charles Wallace 001 (ITiCSE, 2019)

System Design for a Driverless Autonomous Racing Vehicle. - Jacob Culley; Sam Garlick; Enric Gil Esteller; Petar Georgiev; Ivan Fursa; Isaac Vander Sluis; Peter Ball; Andrew Bradley (CSNDSP, 2020)

Multi-weather city: Adverse weather stacking for autonomous driving. - Valentina Musat; Ivan Fursa; Paul Newman 001; Fabio Cuzzolin; Andrew Bradley (ICCVW, 2021)

Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning. - Sam Garlick; Andrew Bradley (CoRR, 2021)

Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions. - Ivan Fursa; Elias Fandi; Valentina Musat; Jacob Culley; Enric Gil Esteller; Louise Bilous; Isaac Vander Sluis; Alexander Rast; Andrew Bradley (CoRR, 2021)

YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles. - Aduen Benjumea; Izzeddin Teeti; Fabio Cuzzolin; Andrew Bradley (CoRR, 2021)

Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset. - Safras Iqbal; Peter Ball; Muhammad Hilmi Kamarudin; Andrew Bradley (CSNDSP, 2022)

Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey. - Izzeddin Teeti; Salman Khan 004; Ajmal Shahbaz; Andrew Bradley; Fabio Cuzzolin (IJCAI, 2022)

Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing. - Izzeddin Teeti; Valentina Musat; Salman Khan 004; Alexander Rast; Fabio Cuzzolin; Andrew Bradley (CoRR, 2022)

Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction. - Izzeddin Teeti; Rongali Sai Bhargav; Vivek Singh; Andrew Bradley; Biplab Banerjee; Fabio Cuzzolin (ICCV (Workshops), 2023)

A Scenario-Based Functional Testing Approach to Improving DNN Performance. - Hong Zhu; Thi Minh Tam Tran; Aduen Benjumea; Andrew Bradley (SOSE, 2023)

ROAD: The Road Event Awareness Dataset for Autonomous Driving. - Gurkirt Singh; Stephen Akrigg; Manuele Di Maio; Valentina Fontana; Reza Javanmard Alitappeh; Salman Khan 004; Suman Saha 001; Kossar Jeddi Saravi; Farzad Yousefi; Jacob Culley; Tom Nicholson; Jordan Omokeowa; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Hybrid Graph Network for Complex Activity Detection in Video. - Salman Khan 004; Izzeddin Teeti; Andrew Bradley; Mohamed Elhoseiny; Fabio Cuzzolin (WACV, 2024)

ROAD-Waymo: Action Awareness at Scale for Autonomous Driving. - Salman Khan 004; Izzeddin Teeti; Reza Javanmard Alitappeh; Mihaela C. Stoian; Eleonora Giunchiglia; Gurkirt Singh; Andrew Bradley; Fabio Cuzzolin (CoRR, 2024)

ASTRA: A Scene-aware Transformer-based Model for Trajectory Prediction. - Izzeddin Teeti; Aniket Thomas; Munish Monga; Sachin Kumar Giroh; Uddeshya Singh; Andrew Bradley; Biplab Banerjee; Fabio Cuzzolin (Trans. Mach. Learn. Res., 2025)