Christoph Stiller

収録論文 51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

• Learning High-Level Decision Making with an Interaction-Aware Attention-Based Network in Autonomous Driving
  2026/7/1
• A2RL V\textsubscript{max}: The A2RL autonomous racing dataset for long-range, high-speed perception and multi-vehicle interaction
  2026/7/1
• Creating Impactful Autonomous Driving Datasets: A Strategic Guide from Research Gap to Benchmark
  2026/7/1
• The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset
  2026/6/1
• Mosaic: An Extensible Framework for Composing Rule-Based and Learned Motion Planners
  2026/4/1
• LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset
  2026/3/1
• Radar-based Pose Optimization for HD Map Generation from Noisy Multi-Drive Vehicle Fleet Data
  2026/3/1
• MapGCLR: Geospatial Contrastive Learning of Representations for Online Vectorized HD Map Construction
  2026/3/1
• Impact of Localization Errors on Label Quality for Online HD Map Construction
  2026/3/1
• Prediction-Driven Motion Planning: Route Integration Strategies in Attention-Based Prediction Models
  2025/12/1
• Toward Efficient and Robust Behavior Models for Multi-Agent Driving Simulation
  2025/12/1
• Safety Reinforced Model Predictive Control (SRMPC): Improving MPC with Reinforcement Learning for Motion Planning in Autonomous Driving
  2025/12/1
• FlowDrive: moderated flow matching with data balancing for trajectory planning
  2025/9/1
• From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving
  2025/7/1
• SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
  2025/6/1
• RetroMotion: Retrocausal Motion Forecasting Models are Instructable
  2025/5/1
• Conditional Prediction by Simulation for Automated Driving
  2025/2/1
• M3TR: A Generalist Model for Real-World HD Map Completion
  2024/11/1
• SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts
  2024/8/1
• Generation of Training Data from HD Maps in the Lanelet2 Framework
  2024/7/1
• PITA: Physics-Informed Trajectory Autoencoder
  2024/3/1
• Decision-theoretic MPC: Motion Planning with Weighted Maneuver Preferences Under Uncertainty
  2023/10/1
• RedMotion: Motion Prediction via Redundancy Reduction
  2023/6/1
• HD Map Generation from Noisy Multi-Route Vehicle Fleet Data on Highways with Expectation Maximization
  2023/5/1
• Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
  2022/10/1
• Robust Self-Tuning Data Association for Geo-Referencing Using Lane Markings
  2022/7/1
• Fast and Robust Ground Surface Estimation from LIDAR Measurements using Uniform B-Splines
  2022/3/1
• DA-LMR: A Robust Lane Marking Representation for Data Association
  2021/11/1
• Modeling dynamic target deformation in camera calibration
  2021/10/1
• Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
  2021/8/1
• MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
  2021/7/1
• Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
  2021/7/1
• Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
  2021/5/1
• PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data
  2021/5/1
• YOLinO: Generic Single Shot Polyline Detection in Real Time
  2021/3/1
• Decision-Time Postponing Motion Planning for Combinatorial Uncertain Maneuvering
  2020/12/1
• SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation
  2020/9/1
• Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data
  2020/5/1
• Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
  2020/4/1
• Tackling Existence Probabilities of Objects with Motion Planning for Automated Urban Driving
  2020/2/1
• INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
  2019/10/1
• Anytime Lane-Level Intersection Estimation Based on Trajectories of Other Traffic Participants
  2019/6/1
• Self-Supervised Flow Estimation using Geometric Regularization with Applications to Camera Image and Grid Map Sequences
  2019/4/1
• Capturing Object Detection Uncertainty in Multi-Layer Grid Maps
  2019/1/1
• Limited Visibility and Uncertainty Aware Motion Planning for Automated Driving
  2018/10/1
• Generating Comfortable, Safe and Comprehensible Trajectories for Automated Vehicles in Mixed Traffic
  2018/5/1
• Object Detection and Classification in Occupancy Grid Maps using Deep Convolutional Networks
  2018/5/1
• Evidential Occupancy Grid Map Augmentation using Deep Learning
  2018/1/1
• Cooperative Motion Planning for Non-Holonomic Agents with Value Iteration Networks
  2017/9/1
• Towards Cooperative Motion Planning for Automated Vehicles in Mixed Traffic
  2017/8/1
• RegNet: Multimodal Sensor Registration Using Deep Neural Networks
  2017/7/1