no code implementations • 29 Nov 2022 • Christopher J. Holder, Majid Khonji, Jorge Dias, Muhammad Shafique
A major challenge in machine learning is resilience to out-of-distribution data, that is data that exists outside of the distribution of a model's training data.
no code implementations • 9 Nov 2022 • Christopher J. Holder, Muhammad Shafique
Global localisation from visual data is a challenging problem applicable to many robotics domains.
no code implementations • 17 Jun 2022 • Christopher J. Holder, Muhammad Shafique
Semantic segmentation is the problem of assigning a class label to every pixel in an image, and is an important component of an autonomous vehicle vision stack for facilitating scene understanding and object detection.
no code implementations • 4 Jan 2018 • Christopher J. Holder, Toby P. Breckon, Xiong Wei
Scene understanding for autonomous vehicles is a challenging computer vision task, with recent advances in convolutional neural networks (CNNs) achieving results that notably surpass prior traditional feature driven approaches.