104 citations · 325 across the 28 of their papers we have counts for
7 papers · 2 filters
Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles
Kunming Li, Mao Shan, Karan Narula +2
Seamlessly operating an autonomous vehicle in a crowded pedestrian environment is a very challenging task. This is because human movement and interactions are very hard to predict…
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning
Dhanoop Karunakaran, Stewart Worrall, Eduardo Nebot
The widescale deployment of Autonomous Vehicles (AV) appears to be imminent despite many safety challenges that are yet to be resolved. It is well-known that there are no universal…
Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations
Mao Shan, Karan Narula, Yung Fei Wong +4
Cooperative perception, or collective perception (CP) is an emerging and promising technology for intelligent transportation systems (ITS). It enables an ITS station (ITS-S) to sha…
Long-term map maintenance pipeline for autonomous vehicles
Julie Stephany Berrio, Stewart Worrall, Mao Shan +1
For autonomous vehicles to operate persistently in a typical urban environment, it is essential to have high accuracy position information. This requires a mapping and localisation…
Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms
Mao Shan, Julie Stephany Berrio, Stewart Worrall +1
The fusion of sensor data from heterogeneous sensors is crucial for robust perception in various robotics applications that involve moving platforms, for instance, autonomous vehic…
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles
Dhanoop Karunakaran, Stewart Worrall, Eduardo Nebot
The widescale deployment of Autonomous Vehicles (AV) seems to be imminent despite many safety challenges that are yet to be resolved. It is well known that there are no universally…