99 citations · 116 across the 17 of their papers we have counts for
24 papers
Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection
Darren Tsai, Julie Stephany Berrio, Mao Shan +2
Every autonomous driving dataset has a different configuration of sensors, originating from distinct geographic regions and covering various scenarios. As a result, 3D detectors te…
A Novel Probabilistic V2X Data Fusion Framework for Cooperative Perception
Mao Shan, Karan Narula, Stewart Worrall +4
The paper addresses the vehicle-to-X (V2X) data fusion for cooperative or collective perception (CP). This emerging and promising intelligent transportation systems (ITS) technolog…
Automatic lane change scenario extraction and generation of scenarios in OpenX format from real-world data
Dhanoop Karunakaran, Julie Stephany Berrio, Stewart Worrall +1
Autonomous Vehicles (AV)'s wide-scale deployment appears imminent despite many safety challenges yet to be resolved. The modern autonomous vehicles will undoubtedly include machine…
What is the appropriate speed for an autonomous vehicle? Designing a Pedestrian Aware Contextual Speed Controller
Daniel Jiang, Stewart Worrall, Mao Shan
Social acceptance is a major hurdle for autonomous vehicle technology, central to which is ensuring both passengers and nearby pedestrians feel safe. This idea of `feeling safe' an…
A Persistent and Context-aware Behavior Tree Framework for Multi Sensor Localization in Autonomous Driving
Siqi Yi, Stewart Worrall, Eduardo Nebot
Robust and persistent localisation is essential for ensuring the safe operation of autonomous vehicles. When operating in large and diverse urban driving environments, autonomous v…
Optimising the selection of samples for robust lidar camera calibration
Darren Tsai, Stewart Worrall, Mao Shan +2
We propose a robust calibration pipeline that optimises the selection of calibration samples for the estimation of calibration parameters that fit the entire scene. We minimise use…