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.
1 code implementation • 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.
1 code implementation • 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 • 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.
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.
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 • 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 • 13 Jul 2023 • Hong Zhu, Thi Minh Tam Tran, Aduen Benjumea, Andrew Bradley
This paper proposes a scenario-based functional testing approach for enhancing the performance of machine learning (ML) applications.
no code implementations • 8 Aug 2023 • Izzeddin Teeti, Rongali Sai Bhargav, Vivek Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin
The emerging field of action prediction plays a vital role in various computer vision applications such as autonomous driving, activity analysis and human-computer interaction.
no code implementations • 26 Oct 2023 • Salman Khan, Izzeddin Teeti, Andrew Bradley, Mohamed Elhoseiny, Fabio Cuzzolin
Attention is then applied to this graph to obtain an overall representation of the local dynamic scene.