Lars Kunze

Orcid: 0000-0001-5302-1938

According to our database1, Lars Kunze authored at least 78 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
OORD: The Oxford Offroad Radar Dataset.
IEEE Trans. Intell. Transp. Syst., November, 2024

Variable Autonomy through Responsible Robotics: Design Guidelines and Research Agenda.
ACM Trans. Hum. Robot Interact., 2024

NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms.
CoRR, 2024

A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers.
CoRR, 2024

S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving.
CoRR, 2024

Learning Run-time Safety Monitors for Machine Learning Components.
CoRR, 2024

Extending Structural Causal Models for Use in Autonomous Embodied Systems.
CoRR, 2024

Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap.
CoRR, 2024

Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness.
CoRR, 2024

Physics-Based Causal Reasoning for Safe & Robust Next-Best Action Selection in Robot Manipulation Tasks.
CoRR, 2024

RobotCycle: Assessing Cycling Safety in Urban Environments.
CoRR, 2024

RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model.
CoRR, 2024

I can do anything with my AV data (but I won't do that): Public attitudes towards data recorders in self-driving cars.
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

What's missing from this picture? Ethical, legal, and practical challenges for autonomous-vehicle data-recorders.
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

Aloft: Self-Adaptive Drone Controller Testbed.
Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2024

From Feature Importance to Natural Language Explanations Using LLMs with RAG.
MAI-XAI@ECAI, 2024

Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

RobotCycle: Assessing Cycling Safety in Urban Environments.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

How Well Do Drivers Adapt to Remote Operation? Learning from Remote Drivers with On-Road Experience.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Transitioning Towards a Proactive Practice: A Longitudinal Field Study on the Implementation of a ML System in Adult Social Care.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey.
J. Artif. Intell. Res., 2023

LROC-PANGU-GAN: Closing the Simulation Gap in Learning Crater Segmentation with Planetary Simulators.
CoRR, 2023

CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs.
CoRR, 2023

Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks.
CoRR, 2023

Towards a Causal Probabilistic Framework for Prediction, Action-Selection & Explanations for Robot Block-Stacking Tasks.
CoRR, 2023

Effects of Explanation Specificity on Passengers in Autonomous Driving.
CoRR, 2023

Textual Explanations for Automated Commentary Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

CAR-DESPOT: Causally-Informed Online POMDP Planning for Robots in Confounded Environments.
IROS, 2023

Explainable Action Prediction through Self-Supervision on Scene Graphs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SEM-GAT: Explainable Semantic Pose Estimation Using Learned Graph Attention.
Proceedings of the 21st International Conference on Advanced Robotics, 2023

Semantic Interpretation and Validation of Graph Attention-Based Explanations for GNN Models.
Proceedings of the 21st International Conference on Advanced Robotics, 2023

Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour.
Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022
Explanations in Autonomous Driving: A Survey.
IEEE Trans. Intell. Transp. Syst., 2022

From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021
Build Back Better with Responsible AI.
Künstliche Intell., 2021

Towards Accountability: Providing Intelligible Explanations in Autonomous Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Assessing and Explaining Collision Risk in Dynamic Environments for Autonomous Driving Safety.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Don't Blindly Trust Your CNN: Towards Competency-Aware Object Detection by Evaluating Novelty in Open-Ended Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Towards Explainable and Trustworthy Autonomous Physical Systems.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Why Not Explain? Effects of Explanations on Human Perceptions of Autonomous Driving.
Proceedings of the International IEEE Conference on Advanced Robotics and Its Social Impacts, 2021

2020
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Unsupervised and Semi-supervised Novelty Detection using Variational Autoencoders in Opportunistic Science Missions.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Special Issue on Reintegrating Artificial Intelligence and Robotics.
Künstliche Intell., 2019

A Philosophically Motivated View on AI and Robotics - Interview with Aaron Sloman, Honorary Professor of Artificial Intelligence and Cognitive Science, University of Birmingham, United Kingdom.
Künstliche Intell., 2019

Can We Stop the Academic AI Brain Drain?
Künstliche Intell., 2019

The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Artificial Intelligence for Long-Term Robot Autonomy: A Survey.
IEEE Robotics Autom. Lett., 2018

Introduction to the Special Issue on AI for Long-Term Autonomy.
IEEE Robotics Autom. Lett., 2018

Reading between the Lanes: Road Layout Reconstruction from Partially Segmented Scenes.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
The STRANDS Project: Long-Term Autonomy in Everyday Environments.
IEEE Robotics Autom. Mag., 2017

Envisioning the qualitative effects of robot manipulation actions using simulation-based projections.
Artif. Intell., 2017

Semantic web-mining and deep vision for lifelong object discovery.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception.
Proceedings of the 1st International Workshop on Application of Semantic Web technologies in Robotics co-located with 14th Extended Semantic Web Conference (ESWC 2017), 2017

Adaptive sampling-based view planning under time constraints.
Proceedings of the 2017 European Conference on Mobile Robots, 2017

Spatial Referring Expression Generation for HRI: Algorithms and Evaluation Framework.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2016
Next Best View Planning for Object Recognition in Mobile Robotics.
Proceedings of the 34th Workshop of the UK Planning and Scheduling Special Interest Group, 2016

Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
RoboEarth Semantic Mapping: A Cloud Enabled Knowledge-Based Approach.
IEEE Trans Autom. Sci. Eng., 2015

A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Simulation and HRI Recent Perspectives with the MORSE Simulator.
Proceedings of the Simulation, Modeling, and Programming for Autonomous Robots, 2014

Combining top-down spatial reasoning and bottom-up object class recognition for scene understanding.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Using Qualitative Spatial Relations for indirect object search.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Bootstrapping Probabilistic Models of Qualitative Spatial Relations for Active Visual Object Search.
Proceedings of the 2014 AAAI Spring Symposia, 2014

2013
Naive physics and commonsense reasoning for everyday robot manipulation.
PhD thesis, 2013

Acquiring task models for imitation learning through games with a purpose.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012
Cognition-Enabled Autonomous Robot Control for the Realization of Home Chore Task Intelligence.
Proc. IEEE, 2012

Searching objects in large-scale indoor environments: A decision-theoretic approach.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011
Logic programming with simulation-based temporal projection for everyday robot object manipulation.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Towards semantic robot description languages.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Simulation-based temporal projection of everyday robot object manipulation.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
Putting People's Common Sense into Knowledge Bases of Household Robots.
Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

KNOWROB-MAP - knowledge-linked semantic object maps.
Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010


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