Jens Behley
収録論文 44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
- DigiForest: Digital Analytics and Robotics for Sustainable Forestry2026/4/1
- SAHA: Supervised Autonomous HArvester for selective forest thinning2026/1/1
- Register Any Point: Scaling 3D Point Cloud Registration by Flow Matching2025/12/1
- Dynamic Visual SLAM using a General 3D Prior2025/12/1
- Globally Consistent RGB-D SLAM with 2D Gaussian Splatting2025/6/1
- Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation2025/3/1
- 3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors2025/3/1
- PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map2025/2/1
- Efficient LiDAR Bundle Adjustment for Multi-Scan Alignment Utilizing Continuous-Time Trajectories2024/12/1
- Epipolar Attention Field Transformers for Bird's Eye View Semantic Segmentation2024/12/1
- ActiveGS: Active Scene Reconstruction Using Gaussian Splatting2024/12/1
- Open-World Panoptic Segmentation2024/12/1
- Horticultural Temporal Fruit Monitoring via 3D Instance Segmentation and Re-Identification using Colored Point Clouds2024/11/1
- AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation2024/10/1
- HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors2024/8/1
- A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics2024/7/1
- 3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation2024/5/1
- PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency2024/1/1
- BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions2023/12/1
- Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation2023/7/1
- PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain2023/6/1
- Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization2023/3/1
- Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots2023/3/1
- On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics2023/3/1
- Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data2022/12/1
- Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-mounted IMU2022/11/1
- Long-Term Localization using Semantic Cues in Floor Plan Maps2022/10/1
- SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations2022/10/1
- IR-MCL: Implicit Representation-Based Online Global Localization2022/10/1
- KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way2022/9/1
- Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions2022/6/1
- Robust Onboard Localization in Changing Environments Exploiting Text Spotting2022/3/1
- Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation2022/1/1
- Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks2021/10/1
- Learning an Overlap-based Observation Model for 3D LiDAR Localization2021/5/1
- Range Image-based LiDAR Localization for Autonomous Vehicles2021/5/1
- Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data2021/5/1
- OverlapNet: Loop Closing for LiDAR-based SLAM2021/5/1
- SuMa++: Efficient LiDAR-based Semantic SLAM2021/5/1
- 4D Panoptic LiDAR Segmentation2021/2/1
- Adaptive Robust Kernels for Non-Linear Least Squares Problems2020/4/1
- A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI2020/3/1
- ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals2019/5/1
- SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences2019/4/1