research
∙
09/19/2023
A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field
Anticipating the motion of other road users is crucial for automated dri...
share
research
∙
06/08/2023
Trajectory Prediction with Observations of Variable-Length for Motion Planning in Highway Merging scenarios
Accurate trajectory prediction of nearby vehicles is crucial for the saf...
research
∙
03/28/2023
Multimodal Manoeuvre and Trajectory Prediction for Autonomous Vehicles Using Transformer Networks
Predicting the behaviour (i.e. manoeuvre/trajectory) of other road users...
research
∙
09/05/2022
Prediction Based Decision Making for Autonomous Highway Driving
Autonomous driving decision-making is a challenging task due to the inhe...
research
∙
12/18/2021
Fast and Robust Registration of Partially Overlapping Point Clouds
Real-time registration of partially overlapping point clouds has emergin...
research
∙
09/22/2021
Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks
Lane change (LC) is one of the safety-critical manoeuvres in highway dri...
research
∙
06/09/2021
Visual Sensor Pose Optimisation Using Rendering-based Visibility Models for Robust Cooperative Perception
Visual Sensor Networks can be used in a variety of perception applicatio...
research
∙
12/25/2019