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20232025
most citedAdvancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap

3 citations · 6 across the 16 of their papers we have counts for

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6 papers · 1 filter

cs.RO2024

S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving

Daniel Omeiza, Pratik Somaiya, Jo-Ann Pattinson +4

As artificial intelligence (AI) technology advances, ensuring the robustness and safety of AI-driven systems has become paramount. However, varying perceptions of robustness among…

cs.RO2024

Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis

Divya Thuremella, Lewis Ince, Lars Kunze

To operate in open-ended environments where humans interact in complex, diverse ways, autonomous robots must learn to predict their behaviour, especially when that behavior is pote…

cs.RO2024

RobotCycle: Assessing Cycling Safety in Urban Environments

Efimia Panagiotaki, Tyler Reinmund, Stephan Mouton +9

This paper introduces RobotCycle, a novel ongoing project that leverages Autonomous Vehicle (AV) research to investigate how road infrastructure influences cyclist behaviour and sa…

cs.RO2023

Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks

Ricardo Cannizzaro, Rhys Howard, Paulina Lewinska +1

Causal modelling offers great potential to provide autonomous agents the ability to understand the data-generation process that governs their interactions with the world. Such mode…

cs.RO2023

Towards a Causal Probabilistic Framework for Prediction, Action-Selection & Explanations for Robot Block-Stacking Tasks

Ricardo Cannizzaro, Jonathan Routley, Lars Kunze

Uncertainties in the real world mean that is impossible for system designers to anticipate and explicitly design for all scenarios that a robot might encounter. Thus, robots design…

cs.RO2023

SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention

Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov +2

This paper proposes a Graph Neural Network(GNN)-based method for exploiting semantics and local geometry to guide the identification of reliable pointcloud registration candidates.…