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09/18/2023
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
Corner case scenarios are an essential tool for testing and validating t...
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08/25/2023
Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs
Validating the safety of Autonomous Vehicles (AVs) operating in open-end...
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08/19/2023
Towards Probabilistic Causal Discovery, Inference Explanations for Autonomous Drones in Mine Surveying Tasks
Causal modelling offers great potential to provide autonomous agents the...
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08/11/2023
Towards a Causal Probabilistic Framework for Prediction, Action-Selection Explanations for Robot Block-Stacking Tasks
Uncertainties in the real world mean that is impossible for system desig...
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08/08/2023
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models
In this work, we propose a methodology for investigating the application...
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08/07/2023
SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention
This paper proposes a GNN-based method for exploiting semantics and loca...
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07/02/2023
Effects of Explanation Specificity on Passengers in Autonomous Driving
The nature of explanations provided by an explainable AI algorithm has b...
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06/06/2023
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
Being able to reason about how one's behaviour can affect the behaviour ...
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04/13/2023
CAR-DESPOT: Causally-Informed Online POMDP Planning for Robots in Confounded Environments
Robots operating in real-world environments must reason about possible o...
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04/12/2023
Textual Explanations for Automated Commentary Driving
The provision of natural language explanations for the predictions of de...
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02/07/2023
Explainable Action Prediction through Self-Supervision on Scene Graphs
This work explores scene graphs as a distilled representation of high-le...
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01/31/2023
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
Autonomous robots are required to reason about the behaviour of dynamic ...
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04/19/2022
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions
In commentary driving, drivers verbalise their observations, assessments...
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03/09/2021
Explanations in Autonomous Driving: A Survey
The automotive industry is seen to have witnessed an increasing level of...
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05/05/2020
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios
This paper discusses ongoing work in demonstrating research in mobile au...
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03/10/2020
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic
This paper presents a system for improving the robustness of LiDAR later...
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07/11/2019
Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR
Road boundaries, or curbs, provide autonomous vehicles with essential in...
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07/10/2019
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation
Road markings provide guidance to traffic participants and enforce safe ...
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12/03/2018
The Right (Angled) Perspective: Improving the Understanding of Road Scenes using Boosted Inverse Perspective Mapping
Many tasks performed by autonomous vehicles such as road marking detecti...
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07/13/2018