Lars Kunze

収録論文 38本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• What Can Eye Gaze Teach Us About Real-World Cycling? Insights From the Oxford RobotCycle Project
  2026/6/1
• Quantile-Coupled Flow Matching for Distributional Reinforcement Learning
  2026/5/1
• Risk-Aware Reinforcement Learning for Mobile Manipulation
  2026/3/1
• MinkOcc: Towards real-time label-efficient semantic occupancy prediction
  2025/4/1
• Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
  2025/3/1
• NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms
  2024/10/1
• GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation
  2024/10/1
• S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving
  2024/8/1
• A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers
  2024/8/1
• Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis
  2024/7/1
• Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between Agents
  2024/6/1
• Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap
  2024/4/1
• COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty
  2024/3/1
• OORD: The Oxford Offroad Radar Dataset
  2024/3/1
• Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution
  2024/3/1
• RobotCycle: Assessing Cycling Safety in Urban Environments
  2024/3/1
• RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
  2024/2/1
• CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
  2023/9/1
• SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention
  2023/8/1
• Towards a Causal Probabilistic Framework for Prediction, Action-Selection & Explanations for Robot Block-Stacking Tasks
  2023/8/1
• Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs
  2023/8/1
• Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks
  2023/8/1
• Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models
  2023/8/1
• Effects of Explanation Specificity on Passengers in Autonomous Driving
  2023/7/1
• Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
  2023/6/1
• Textual Explanations for Automated Commentary Driving
  2023/4/1
• CAR-DESPOT: Causally-Informed Online POMDP Planning for Robots in Confounded Environments
  2023/4/1
• Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
  2023/2/1
• Explainable Action Prediction through Self-Supervision on Scene Graphs
  2023/2/1
• From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions
  2022/4/1
• Explanations in Autonomous Driving: A Survey
  2021/3/1
• Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios
  2020/5/1
• LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic
  2020/3/1
• Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR
  2019/7/1
• Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation
  2019/7/1
• The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping
  2018/12/1
• Artificial Intelligence for Long-Term Robot Autonomy: A Survey
  2018/7/1
• The STRANDS Project: Long-Term Autonomy in Everyday Environments
  2016/4/1