For smart vehicles driving through signalised intersections, it is cruci...
Autonomous vehicles have the potential to lower the accident rate when
c...
Recent Autonomous Vehicles (AV) technology includes machine learning and...
The paper addresses the vehicle-to-X (V2X) data fusion for cooperative o...
Autonomous Vehicles (AV)'s wide-scale deployment appears imminent despit...
Sampling discrepancies between different manufacturers and models of lid...
Robust and persistent localisation is essential for ensuring the safe
op...
We propose a robust calibration pipeline that optimises the selection of...
Seamlessly operating an autonomous vehicle in a crowded pedestrian
envir...
Autonomous vehicle navigation in shared pedestrian environments requires...
Cooperative perception, or collective perception (CP) is an emerging and...
The widescale deployment of Autonomous Vehicles (AV) appears to be immin...
For autonomous vehicles to operate persistently in a typical urban
envir...
An automated vehicle operating in an urban environment must be able to
p...
Understanding and predicting the intention of pedestrians is essential t...
The fusion of sensor data from heterogeneous sensors is crucial for robu...
The widescale deployment of Autonomous Vehicles (AV) seems to be imminen...
To navigate through urban roads, an automated vehicle must be able to
pe...
This paper proposes an automated method to obtain the extrinsic calibrat...
Centimeter level globally accurate and consistent maps for autonomous
ve...
Robustness and safety are crucial properties for the real-world applicat...
One of the fundamental challenges in the design of perception systems fo...
To operate in an urban environment, an automated vehicle must be capable...
Semantic segmentation using deep neural networks has been widely explore...
Understanding the intentions of drivers at intersections is a critical
c...