Search Results for author: Andrew Bradley

Found 10 papers, 3 papers with code

Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction

no code implementations8 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.

Activity Recognition Autonomous Driving +2

A Scenario-Based Functional Testing Approach to Improving DNN Performance

no code implementations13 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.

Transfer Learning

Never mind the metrics -- what about the uncertainty? Visualising confusion matrix metric distributions

1 code implementation5 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.

Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset

no code implementations15 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.

Anomaly Detection Autonomous Vehicles

YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles

1 code implementation22 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.

Autonomous Vehicles object-detection +1

ROAD: The ROad event Awareness Dataset for Autonomous Driving

2 code implementations23 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.

Action Detection Activity Detection +4

Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning

no code implementations3 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.

Autonomous Vehicles BIG-bench Machine Learning +1

Cannot find the paper you are looking for? You can Submit a new open access paper.