The data conundrum: compression of automotive imaging data and deep neural network based perception. - Pak Hung Chan; Georgina Souvalioti; Anthony Huggett; Graham Kirsch; Valentina Donzella (LIM, 2021)

A Two-stage H.264 based Video Compression Method for Automotive Cameras. - Yiting Wang; Pak Hung Chan; Valentina Donzella (ICPS, 2022)

Enhanced Object Detection by Integrating Camera Parameters into Raw Image-Based Faster R-CNN. - Chuheng Wei; Guoyuan Wu 001; Matthew J. Barth; Pak Hung Chan; Valentina Donzella; Anthony Huggett (ITSC, 2023)

Semantic-Aware Video Compression for Automotive Cameras. - Yiting Wang; Pak Hung Chan; Valentina Donzella (IEEE Trans. Intell. Veh., 2023)

Parametric Physics-Based Snow Model for Automotive Cameras. - Pak Hung Chan; Kurt Debattista; Valentina Donzella (IEEE SENSORS, 2024)

REHEARSE: adveRse wEatHEr datAset for sensoRy noiSe modEls. - Yuri Poledna; Maikol Funk Drechsler; Valentina Donzella; Pak Hung Chan; Pierre Duthon; Werner Huber (IV, 2024)

Influence of AVC and HEVC Compression on Detection of Vehicles Through Faster R-CNN. - Pak Hung Chan; Anthony Huggett; Georgina Souvalioti; Paul Jennings; Valentina Donzella (IEEE Trans. Intell. Transp. Syst., 2024)

Automotive DNN-Based Object Detection in the Presence of Lens Obstruction and Video Compression. - Gabriele Baris; Boda Li; Pak Hung Chan; Carlo Alberto Avizzano; Valentina Donzella (IEEE Access, 2025)

Raw Camera Data Object Detectors: An Optimisation for Automotive Video Processing and Transmission. - Pak Hung Chan; Chuheng Wei; Anthony Huggett; Valentina Donzella (IEEE Access, 2025)