Niclas Vödisch

収録論文 18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

• ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models
  2025/5/1
• Collaborative Dynamic 3D Scene Graphs for Open-Vocabulary Urban Scene Understanding
  2025/3/1
• Label-Efficient LiDAR Panoptic Segmentation
  2025/3/1
• LiDAR Registration with Visual Foundation Models
  2025/2/1
• Efficient Robot Learning for Perception and Mapping
  2024/5/1
• A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation
  2024/5/1
• Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences
  2024/4/1
• BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation
  2024/3/1
• Collaborative Dynamic 3D Scene Graphs for Automated Driving
  2023/9/1
• Few-Shot Panoptic Segmentation With Foundation Models
  2023/9/1
• CoVIO: Online Continual Learning for Visual-Inertial Odometry
  2023/3/1
• CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
  2023/3/1
• PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention
  2022/9/1
• Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning
  2022/3/1
• End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization
  2022/1/1
• FSOCO: The Formula Student Objects in Context Dataset
  2020/12/1
• Accurate Mapping and Planning for Autonomous Racing
  2020/3/1
• Deep Unsupervised Common Representation Learning for LiDAR and Camera Data using Double Siamese Networks
  2020/1/1