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Lars Kunze
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2020 – today
- 2024
- [j14]Tyler Reinmund
, Pericle Salvini
Variable Autonomy through Responsible Robotics: Design Guidelines and Research Agenda. ACM Trans. Hum. Robot Interact. 13(1): 7:1-7:36 (2024) - [j13]Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze:
OORD: The Oxford Offroad Radar Dataset. IEEE Trans. Intell. Transp. Syst. 25(11): 18779-18790 (2024) - [c49]Tyler Reinmund
Transitioning Towards a Proactive Practice: A Longitudinal Field Study on the Implementation of a ML System in Adult Social Care. CHI 2024: 878:1-878:19 - [c48]Divya Thuremella, Lewis Ince, Lars Kunze:
Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis. ICRA 2024: 14421-14427 - [c47]Benjamin Hardin, Pericle Salvini, Marina Jirotka, Lars Kunze:
How Well Do Drivers Adapt to Remote Operation? Learning from Remote Drivers with On-Road Experience. IV 2024: 23-28 - [c46]Efimia Panagiotaki, Tyler Reinmund, Stephan Mouton, Luke Pitt, Arundathi Shaji Shanthini, Wayne Tubby, Matthew Towlson, Samuel Sze, Brian Liu, Chris Prahacs, Daniele De Martini, Lars Kunze:
RobotCycle: Assessing Cycling Safety in Urban Environments. IV 2024: 357-363 - [c45]Samuel Sze, Lars Kunze:
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution. IV 2024: 1286-1293 - [c44]Sule Tekkesinoglu, Lars Kunze:
From Feature Importance to Natural Language Explanations Using LLMs with RAG. MAI-XAI@ECAI 2024: 114-132 - [c43]Calum Imrie
Aloft: Self-Adaptive Drone Controller Testbed. SEAMS@ICSE 2024: 70-76 - [c42]Jo-Ann Pattinson
I can do anything with my AV data (but I won't do that): Public attitudes towards data recorders in self-driving cars. TAS 2024: 19:1-19:16 - [c41]Carolyn Ten Holter
What's missing from this picture? Ethical, legal, and practical challenges for autonomous-vehicle data-recorders. TAS 2024: 22:1-22:13 - [i35]Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd:
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model. CoRR abs/2402.10828 (2024) - [i34]Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze:
OORD: The Oxford Offroad Radar Dataset. CoRR abs/2403.02845 (2024) - [i33]Efimia Panagiotaki, Tyler Reinmund, Brian Liu, Stephan Mouton, Luke Pitt, Arundathi Shaji Shanthini, Matthew Towlson, Wayne Tubby, Chris Prahacs, Daniele De Martini, Lars Kunze:
RobotCycle: Assessing Cycling Safety in Urban Environments. CoRR abs/2403.07789 (2024) - [i32]Samuel Sze, Lars Kunze:
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution. CoRR abs/2403.08748 (2024) - [i31]Ricardo Cannizzaro, Michael Groom, Jonathan Routley, Robert Osazuwa Ness, Lars Kunze:
Physics-Based Causal Reasoning for Safe & Robust Next-Best Action Selection in Robot Manipulation Tasks. CoRR abs/2403.14488 (2024) - [i30]David Fernández Llorca, Ronan Hamon, Henrik Junklewitz, Kathrin Grosse, Lars Kunze, Patrick Seiniger, Robert Swaim, Nick Reed, Alexandre Alahi, Emilia Gómez, Ignacio Sánchez, Ákos Kriston:
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness. CoRR abs/2403.14641 (2024) - [i29]Sule Tekkesinoglu, Azra Habibovic
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap. CoRR abs/2404.00019 (2024) - [i28]Rhys Howard, Lars Kunze:
Extending Structural Causal Models for Use in Autonomous Embodied Systems. CoRR abs/2406.01384 (2024) - [i27]Ozan Vardal, Richard Hawkins, Colin Paterson, Chiara Picardi, Daniel Omeiza, Lars Kunze, Ibrahim Habli:
Learning Run-time Safety Monitors for Machine Learning Components. CoRR abs/2406.16220 (2024) - [i26]Divya Thuremella, Lewis Ince, Lars Kunze:
Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis. CoRR abs/2407.10639 (2024) - [i25]Sule Tekkesinoglu, Lars Kunze:
From Feature Importance to Natural Language Explanations Using LLMs with RAG. CoRR abs/2407.20990 (2024) - [i24]Daniel Omeiza, Pratik Somaiya, Jo-Ann Pattinson, Carolyn Ten Holter, Jack Stilgoe, Marina Jirotka, Lars Kunze:
S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving. CoRR abs/2408.08584 (2024) - [i23]Daniel Omeiza, Raunak Bhattacharyya, Marina Jirotka, Nick Hawes, Lars Kunze:
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers. CoRR abs/2408.08785 (2024) - 2023
- [j12]Divya Thuremella
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey. J. Artif. Intell. Res. 77: 1697-1772 (2023) - [c40]Rhys Howard, Lars Kunze:
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour. CLeaR 2023: 473-498 - [c39]Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze:
SEM-GAT: Explainable Semantic Pose Estimation Using Learned Graph Attention. ICAR 2023: 367-374 - [c38]Efimia Panagiotaki, Daniele De Martini, Lars Kunze:
Semantic Interpretation and Validation of Graph Attention-Based Explanations for GNN Models. ICAR 2023: 375-380 - [c37]Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze:
Explainable Action Prediction through Self-Supervision on Scene Graphs. ICRA 2023: 1479-1485 - [c36]Ricardo Cannizzaro
CAR-DESPOT: Causally-Informed Online POMDP Planning for Robots in Confounded Environments. IROS 2023: 2018-2025 - [c35]Enrik Maci, Rhys Howard, Lars Kunze:
Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs. ITSC 2023: 4201-4208 - [c34]Rhys Howard
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour. IV 2023: 1-8 - [c33]Marc Alexander Kühn, Daniel Omeiza, Lars Kunze:
Textual Explanations for Automated Commentary Driving. IV 2023: 1-6 - [i22]Rhys Howard, Lars Kunze:
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour. CoRR abs/2302.00064 (2023) - [i21]Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze:
Explainable Action Prediction through Self-Supervision on Scene Graphs. CoRR abs/2302.03477 (2023) - [i20]Ricardo Cannizzaro
CAR-DESPOT: Causally-Informed Online POMDP Planning for Robots in Confounded Environments. CoRR abs/2304.06848 (2023) - [i19]Marc Alexander Kühn, Daniel Omeiza, Lars Kunze:
Textual Explanations for Automated Commentary Driving. CoRR abs/2304.08178 (2023) - [i18]Rhys Howard, Lars Kunze:
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour. CoRR abs/2306.03354 (2023) - [i17]Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes, Marina Jirotka, Lars Kunze:
Effects of Explanation Specificity on Passengers in Autonomous Driving. CoRR abs/2307.00633 (2023) - [i16]Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze:
SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention. CoRR abs/2308.03718 (2023) - [i15]Efimia Panagiotaki, Daniele De Martini, Lars Kunze:
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models. CoRR abs/2308.04220 (2023) - [i14]Ricardo Cannizzaro
Towards a Causal Probabilistic Framework for Prediction, Action-Selection & Explanations for Robot Block-Stacking Tasks. CoRR abs/2308.06203 (2023) - [i13]Ricardo Cannizzaro
Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks. CoRR abs/2308.10047 (2023) - [i12]Enrik Maci, Rhys Howard
Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs. CoRR abs/2308.13658 (2023) - [i11]George Drayson, Efimia Panagiotaki, Daniel Omeiza, Lars Kunze:
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs. CoRR abs/2309.09844 (2023) - [i10]Jaewon La, Jaime Phadke, Matt Hutton, Marius Schwinning, Gabriele De Canio, Florian Renk, Lars Kunze, Matthew Gadd:
LROC-PANGU-GAN: Closing the Simulation Gap in Learning Crater Segmentation with Planetary Simulators. CoRR abs/2310.02781 (2023) - 2022
- [j11]Daniel Omeiza
Explanations in Autonomous Driving: A Survey. IEEE Trans. Intell. Transp. Syst. 23(8): 10142-10162 (2022) - [c32]Daniel Omeiza, Sule Anjomshoae, Helena Webb
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions. IV 2022: 1040-1047 - [i9]Daniel Omeiza, Sule Anjomshoae, Helena Webb
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions. CoRR abs/2204.09109 (2022) - 2021
- [j10]Lars Kunze:
Build Back Better with Responsible AI. Künstliche Intell. 35(1): 1-3 (2021) - [c31]Daniel Omeiza, Konrad Kollnig
Why Not Explain? Effects of Explanations on Human Perceptions of Autonomous Driving. ARSO 2021: 194-199 - [c30]Daniel Omeiza, Sule Anjomshoae, Konrad Kollnig
Towards Explainable and Trustworthy Autonomous Physical Systems. CHI Extended Abstracts 2021: 88:1-88:3 - [c29]Rhys Howard
Don't Blindly Trust Your CNN: Towards Competency-Aware Object Detection by Evaluating Novelty in Open-Ended Environments. ICRA 2021: 13286-13292 - [c28]Richa Nahata, Daniel Omeiza, Rhys Howard
Assessing and Explaining Collision Risk in Dynamic Environments for Autonomous Driving Safety. ITSC 2021: 223-230 - [c27]Daniel Omeiza, Helena Webb, Marina Jirotka, Lars Kunze:
Towards Accountability: Providing Intelligible Explanations in Autonomous Driving. IV 2021: 231-237 - [i8]Daniel Omeiza, Helena Webb, Marina Jirotka, Lars Kunze:
Explanations in Autonomous Driving: A Survey. CoRR abs/2103.05154 (2021) - 2020
- [c26]Lorenzo Sintini, Lars Kunze:
Unsupervised and Semi-supervised Novelty Detection using Variational Autoencoders in Opportunistic Science Missions. BMVC 2020 - [c25]Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze:
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. IV 2020: 150-155 - [c24]Tarlan Suleymanov, Matthew Gadd
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. PLANS 2020: 334-341 - [i7]Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman:
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. CoRR abs/2003.04708 (2020) - [i6]Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze:
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. CoRR abs/2005.02031 (2020)
2010 – 2019
- 2019
- [j9]Lars Kunze
Can We Stop the Academic AI Brain Drain? Künstliche Intell. 33(1): 1-3 (2019) - [j8]Federico Pecora, Masoumeh Mansouri, Nick Hawes, Lars Kunze
Special Issue on Reintegrating Artificial Intelligence and Robotics. Künstliche Intell. 33(4): 315-317 (2019) - [j7]Lars Kunze
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. 33(4): 429-445 (2019) - [c23]Tom Bruls, Horia Porav, Lars Kunze
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation. ITSC 2019: 831-838 - [c22]Tarlan Suleymanov, Lars Kunze
Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR. ITSC 2019: 2693-2700 - [c21]Tom Bruls, Horia Porav, Lars Kunze
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping. IV 2019: 302-309 - [i5]Tom Bruls, Horia Porav, Lars Kunze, Paul Newman:
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation. CoRR abs/1907.04569 (2019) - [i4]Tarlan Suleymanov, Lars Kunze, Paul Newman:
Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR. CoRR abs/1907.05375 (2019) - 2018
- [j6]Lars Kunze
Artificial Intelligence for Long-Term Robot Autonomy: A Survey. IEEE Robotics Autom. Lett. 3(4): 4023-4030 (2018) - [j5]Lars Kunze
Introduction to the Special Issue on AI for Long-Term Autonomy. IEEE Robotics Autom. Lett. 3(4): 4431-4434 (2018) - [c20]Lars Kunze
Reading between the Lanes: Road Layout Reconstruction from Partially Segmented Scenes. ITSC 2018: 401-408 - [i3]Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomás Krajník:
Artificial Intelligence for Long-Term Robot Autonomy: A Survey. CoRR abs/1807.05196 (2018) - [i2]Tom Bruls, Horia Porav, Lars Kunze, Paul Newman:
The Right (Angled) Perspective: Improving the Understanding of Road Scenes using Boosted Inverse Perspective Mapping. CoRR abs/1812.00913 (2018) - 2017
- [j4]Lars Kunze
Envisioning the qualitative effects of robot manipulation actions using simulation-based projections. Artif. Intell. 247: 352-380 (2017) - [j3]Nick Hawes
The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 24(3): 146-156 (2017) - [c19]Lars Kunze, Tom Williams, Nick Hawes, Matthias Scheutz:
Spatial Referring Expression Generation for HRI: Algorithms and Evaluation Framework. AAAI Fall Symposia 2017: 27-35 - [c18]Lars Kunze
Adaptive sampling-based view planning under time constraints. ECMR 2017: 1-6 - [c17]Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, Barbara Caputo:
Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception. AnSWeR@ESWC 2017: 31-40 - [c16]Jay Young, Valerio Basile
Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception. ESWC (Satellite Events) 2017: 299-313 - [c15]Jay Young, Lars Kunze
Semantic web-mining and deep vision for lifelong object discovery. ICRA 2017: 2774-2779 - 2016
- [c14]Jay Young, Valerio Basile
Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining. ECAI 2016: 1458-1466 - [c13]Christopher McGreavy, Lars Kunze, Nick Hawes:
Next Best View Planning for Object Recognition in Mobile Robotics. PlanSIG 2016 - [i1]Nick Hawes, Chris Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Muhannad Al-Omari, Eris Chinellato, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide:
The STRANDS Project: Long-Term Autonomy in Everyday Environments. CoRR abs/1604.04384 (2016) - 2015
- [j2]Luis Riazuelo, Moritz Tenorth, Daniel Di Marco, Marta Salas, Dorian Gálvez-López, Lorenz Mösenlechner, Lars Kunze
RoboEarth Semantic Mapping: A Cloud Enabled Knowledge-Based Approach. IEEE Trans Autom. Sci. Eng. 12(2): 432-443 (2015) - [c12]Akshaya Thippur, Chris Burbridge, Lars Kunze, Marina Alberti, John Folkesson, Patric Jensfelt, Nick Hawes:
A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding. AAAI 2015: 1632-1640 - 2014
- [c11]Lars Kunze, Chris Burbridge, Nick Hawes:
Bootstrapping Probabilistic Models of Qualitative Spatial Relations for Active Visual Object Search. AAAI Spring Symposia 2014 - [c10]Lars Kunze
Using Qualitative Spatial Relations for indirect object search. ICRA 2014: 163-168 - [c9]Lars Kunze
Combining top-down spatial reasoning and bottom-up object class recognition for scene understanding. IROS 2014: 2910-2915 - [c8]Séverin Lemaignan
Simulation and HRI Recent Perspectives with the MORSE Simulator. SIMPAR 2014: 13-24 - 2013
- [b1]Lars Kunze:
Naive physics and commonsense reasoning for everyday robot manipulation. Technical University Munich, 2013, pp. 1-189 - [c7]Lars Kunze
Acquiring task models for imitation learning through games with a purpose. IROS 2013: 102-107 - 2012
- [j1]Michael Beetz
Cognition-Enabled Autonomous Robot Control for the Realization of Home Chore Task Intelligence. Proc. IEEE 100(8): 2454-2471 (2012) - [c6]Lars Kunze
Searching objects in large-scale indoor environments: A decision-theoretic approach. ICRA 2012: 4385-4390 - 2011
- [c5]Lars Kunze, Mihai Emanuel Dolha, Emitza Guzman, Michael Beetz:
Simulation-based temporal projection of everyday robot object manipulation. AAMAS 2011: 107-114 - [c4]Lars Kunze
Towards semantic robot description languages. ICRA 2011: 5589-5595 - [c3]Lars Kunze, Mihai Emanuel Dolha, Michael Beetz:
Logic programming with simulation-based temporal projection for everyday robot object manipulation. IROS 2011: 3172-3178 - 2010
- [c2]Moritz Tenorth, Lars Kunze
KNOWROB-MAP - knowledge-linked semantic object maps. Humanoids 2010: 430-435 - [c1]Lars Kunze
Putting People's Common Sense into Knowledge Bases of Household Robots. KI 2010: 151-159
Coauthor Index
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last updated on 2024-11-19 20:49 CET by the dblp team
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