Cyrill Stachniss
収録論文 91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
- Improving Map Consistency in Graph-Based LiDAR SLAM Through Information-Aware Odometry and Retroactive Loop Closure2026/7/1
- DigiForest: Digital Analytics and Robotics for Sustainable Forestry2026/4/1
- LiPS: Lightweight Panoptic Segmentation for Resource-Constrained Robotics2026/4/1
- Loop Closure via Maximal Cliques in 3D LiDAR-Based SLAM2026/3/1
- 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
- Efficient View Planning Guided by Previous-Session Reconstruction for Repeated Plant Monitoring2025/10/1
- A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modeling2025/9/1
- Uncertainty-Informed Active Perception for Open Vocabulary Object Goal Navigation2025/6/1
- Globally Consistent RGB-D SLAM with 2D Gaussian Splatting2025/6/1
- DM-OSVP++: One-Shot View Planning Using 3D Diffusion Models for Active RGB-Based Object Reconstruction2025/4/1
- Doppler-SLAM: Doppler-Aided Radar-Inertial and LiDAR-Inertial Simultaneous Localization and Mapping2025/4/1
- 3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors2025/3/1
- Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation2025/3/1
- Keypoint Semantic Integration for Improved Feature Matching in Outdoor Agricultural Environments2025/3/1
- KISS-SLAM: A Simple, Robust, and Accurate 3D LiDAR SLAM System With Enhanced Generalization Capabilities2025/3/1
- PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map2025/2/1
- Wheel-GINS: A GNSS/INS Integrated Navigation System with a Wheel-mounted IMU2025/1/1
- Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models2025/1/1
- Efficiently Closing Loops in LiDAR-Based SLAM Using Point Cloud Density Maps2025/1/1
- 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
- Efficient LiDAR Bundle Adjustment for Multi-Scan Alignment Utilizing Continuous-Time Trajectories2024/12/1
- Horticultural Temporal Fruit Monitoring via 3D Instance Segmentation and Re-Identification using Colored Point Clouds2024/11/1
- Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces2024/10/1
- AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation2024/10/1
- Active Learning of Robot Vision Using Adaptive Path Planning2024/10/1
- Towards Map-Agnostic Policies for Adaptive Informative Path Planning2024/10/1
- Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation2024/8/1
- 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
- STAIR: Semantic-Targeted Active Implicit Reconstruction2024/3/1
- Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning2024/3/1
- Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning2024/2/1
- 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
- Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning2023/12/1
- LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters2023/11/1
- PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics2023/9/1
- 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
- Online and Offline Learning of Player Objectives from Partial Observations in Dynamic Games2023/2/1
- A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems2023/2/1
- An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping2023/2/1
- Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data2022/12/1
- Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation2022/10/1
- 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
- Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors2022/9/1
- KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way2022/9/1
- Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments2022/8/1
- Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions2022/6/1
- Adaptive Path Planning for UAVs for Multi-Resolution Semantic Segmentation2022/3/1
- Informative Path Planning for Active Learning in Aerial Semantic Mapping2022/3/1
- Robust Onboard Localization in Changing Environments Exploiting Text Spotting2022/3/1
- MD-SLAM: Multi-cue Direct SLAM2022/3/1
- Monitoring and mapping of crop fields with UAV swarms based on information gain2022/3/1
- 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
- Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks2021/9/1
- Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments2021/8/1
- Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation2021/8/1
- Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations2021/6/1
- Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data2021/5/1
- Learning an Overlap-based Observation Model for 3D LiDAR Localization2021/5/1
- Simple But Effective Redundant Odometry for Autonomous Vehicles2021/5/1
- Range Image-based LiDAR Localization for Autonomous Vehicles2021/5/1
- OverlapNet: Loop Closing for LiDAR-based SLAM2021/5/1
- SuMa++: Efficient LiDAR-based Semantic SLAM2021/5/1
- Visual Place Recognition using LiDAR Intensity Information2021/3/1
- 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
- Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution2019/11/1
- Visual Servoing-based Navigation for Monitoring Row-Crop Fields2019/9/1
- Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes2019/9/1
- 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
- WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming2018/8/1
- Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs2018/2/1
- Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs2017/9/1
- A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration2017/9/1
- Collaborative Filtering for Predicting User Preferences for Organizing Objects2015/12/1
- A Probabilistic Framework for Learning Kinematic Models of Articulated Objects2014/5/1