no code implementations • 5 Jun 2022 • David Lovell, Dimity Miller, Jaiden Capra, Andrew Bradley
There are strong incentives to build models that demonstrate outstanding predictive performance on various datasets and benchmarks.
no code implementations • 15 Feb 2022 • Safras Iqbal, Peter Ball, Muhammad H Kamarudin, Andrew Bradley
Connected and Autonomous Vehicles (CAVs) rely on Vehicular Adhoc Networks with wireless communication between vehicles and roadside infrastructure to support safe operation.
no code implementations • 10 Jan 2022 • Izzeddin Teeti, Valentina Musat, Salman Khan, Alexander Rast, Fabio Cuzzolin, Andrew Bradley
In an autonomous driving system, perception - identification of features and objects from the environment - is crucial.
no code implementations • 22 Dec 2021 • Aduen Benjumea, Izzeddin Teeti, Fabio Cuzzolin, Andrew Bradley
As autonomous vehicles and autonomous racing rise in popularity, so does the need for faster and more accurate detectors.
no code implementations • 3 Mar 2021 • Ivan Fursa, Elias Fandi, Valentina Musat, Jacob Culley, Enric Gil, Izzeddin Teeti, Louise Bilous, Isaac Vander Sluis, Alexander Rast, Andrew Bradley
Autonomous vehicles rely heavily upon their perception subsystems to see the environment in which they operate.
2 code implementations • 23 Feb 2021 • Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Suman Saha, Kossar Jeddisaravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Salman Khan, Stanislao Grazioso, Andrew Bradley, Giuseppe Di Gironimo, Fabio Cuzzolin
We also report the performance on the ROAD tasks of Slowfast and YOLOv5 detectors, as well as that of the winners of the ICCV2021 ROAD challenge, which highlight the challenges faced by situation awareness in autonomous driving.
no code implementations • 3 Feb 2021 • Sam Garlick, Andrew Bradley
A particular challenge for an autonomous vehicle is that of identifying a target trajectory - or, in the case of a competition vehicle, the racing line.