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07/14/2023
LightFormer: An End-to-End Model for Intersection Right-of-Way Recognition Using Traffic Light Signals and an Attention Mechanism
For smart vehicles driving through signalised intersections, it is cruci...
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08/29/2022
Critical concrete scenario generation using scenario-based falsification
Autonomous vehicles have the potential to lower the accident rate when c...
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06/20/2022
Parameterisation of lane-change scenarios from real-world data
Recent Autonomous Vehicles (AV) technology includes machine learning and...
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03/31/2022
A Novel Probabilistic V2X Data Fusion Framework for Cooperative Perception
The paper addresses the vehicle-to-X (V2X) data fusion for cooperative o...
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03/14/2022
Automatic lane change scenario extraction and generation of scenarios in OpenX format from real-world data
Autonomous Vehicles (AV)'s wide-scale deployment appears imminent despit...
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11/17/2021
See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation
Sampling discrepancies between different manufacturers and models of lid...
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03/26/2021
A Persistent and Context-aware Behavior Tree Framework for Multi Sensor Localization in Autonomous Driving
Robust and persistent localisation is essential for ensuring the safe op...
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03/23/2021
Optimising the selection of samples for robust lidar camera calibration
We propose a robust calibration pipeline that optimises the selection of...
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11/23/2020
Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles
Seamlessly operating an autonomous vehicle in a crowded pedestrian envir...
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11/23/2020
Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases
Autonomous vehicle navigation in shared pedestrian environments requires...
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11/17/2020
Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations
Cooperative perception, or collective perception (CP) is an emerging and...
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11/16/2020
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning
The widescale deployment of Autonomous Vehicles (AV) appears to be immin...
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08/28/2020
Long-term map maintenance pipeline for autonomous vehicles
For autonomous vehicles to operate persistently in a typical urban envir...
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07/09/2020
Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping
An automated vehicle operating in an urban environment must be able to p...
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06/23/2020
Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network
Understanding and predicting the intention of pedestrians is essential t...
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03/09/2020
Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms
The fusion of sensor data from heterogeneous sensors is crucial for robu...
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03/04/2020
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles
The widescale deployment of Autonomous Vehicles (AV) seems to be imminen...
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03/04/2020
Semantic sensor fusion: from camera to sparse lidar information
To navigate through urban roads, an automated vehicle must be able to pe...
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04/29/2019
Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences
This paper proposes an automated method to obtain the extrinsic calibrat...
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04/19/2019
Geographical Map Registration and Fusion of Lidar-Aerial Orthoimagery in GIS
Centimeter level globally accurate and consistent maps for autonomous ve...
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04/18/2019
Metrics for the Evaluation of localisation Robustness
Robustness and safety are crucial properties for the real-world applicat...
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10/24/2018
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving
One of the fundamental challenges in the design of perception systems fo...
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09/26/2018
Identifying robust landmarks in feature-based maps
To operate in an urban environment, an automated vehicle must be capable...
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09/13/2018
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective
Semantic segmentation using deep neural networks has been widely explore...
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07/26/2018
