Xieyuanli Chen
収録論文 64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
- SIPTraj: Map-Free End-to-End Trajectory Prediction via Physics-Guided Scene Interaction2026/8/1
- ParkingTransformer: LLM-Enhanced End-to-End Trajectory Planning for Autonomous Parking2026/6/1
- MPTF-Net: Multi-view Pyramid Transformer Fusion Network for LiDAR-based Place Recognition2026/4/1
- Wild-Drive: Off-Road Scene Captioning and Path Planning via Robust Multi-modal Routing and Efficient Large Language Model2026/3/1
- GeoLoco: Leveraging 3D Geometric Priors from Visual Foundation Model for Robust RGB-Only Humanoid Locomotion2026/3/1
- DST-Calib: A Dual-Path, Self-Supervised, Target-Free LiDAR-Camera Extrinsic Calibration Network2026/1/1
- Uni-Hand: Universal Hand Motion Forecasting in Egocentric Views2025/11/1
- LiDAR-VGGT: Cross-Modal Coarse-to-Fine Fusion for Globally Consistent and Metric-Scale Dense Mapping2025/11/1
- DCReg: Decoupled Characterization for Efficient Degenerate LiDAR Registration2025/9/1
- Grasp Like Humans: Learning Generalizable Multi-Fingered Grasping from Human Proprioceptive Sensorimotor Integration2025/9/1
- LEMON-Mapping: Loop-Enhanced Large-Scale Multi-Session Point Cloud Merging and Optimization for Globally Consistent Mapping2025/5/1
- An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather2025/4/1
- Leveraging Semantic Graphs for Efficient and Robust LiDAR SLAM2025/3/1
- Flexible Exoskeleton Control Based on Binding Alignment Strategy and Full-arm Coordination Mechanism2025/3/1
- BEVDiffLoc: End-to-End LiDAR Global Localization in BEV View based on Diffusion Model2025/3/1
- UGNA-VPR: A Novel Training Paradigm for Visual Place Recognition Based on Uncertainty-Guided NeRF Augmentation2025/3/1
- Image-Goal Navigation Using Refined Feature Guidance and Scene Graph Enhancement2025/3/1
- LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the Lunar2025/3/1
- EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar2025/2/1
- A Novel Multi-Gait Strategy for Stable and Efficient Quadruped Robot Locomotion2024/10/1
- TRLO: An Efficient LiDAR Odometry with 3D Dynamic Object Tracking and Removal2024/10/1
- RING#: PR-by-PE Global Localization with Roto-translation Equivariant Gram Learning2024/9/1
- BEVPlace++: Fast, Robust, and Lightweight LiDAR Global Localization for Unmanned Ground Vehicles2024/8/1
- NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking Neural Networks2024/8/1
- GOReloc: Graph-based Object-Level Relocalization for Visual SLAM2024/8/1
- SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM2024/7/1
- TiCoSS: Tightening the Coupling between Semantic Segmentation and Stereo Matching within A Joint Learning Framework2024/7/1
- TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization2024/5/1
- Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data2024/4/1
- ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition2024/3/1
- VOOM: Robust Visual Object Odometry and Mapping using Hierarchical Landmarks2024/2/1
- RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation2024/2/1
- Explicit Interaction for Fusion-Based Place Recognition2024/2/1
- Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots2023/11/1
- Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM2023/9/1
- CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration2023/9/1
- Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation2023/7/1
- Deep Reinforcement Learning for Flipper Control of Tracked Robots2023/6/1
- PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View2023/6/1
- RDMNet: Reliable Dense Matching Based Point Cloud Registration for Autonomous Driving2023/3/1
- NeU-NBV: Next Best View Planning Using Uncertainty Estimation in Image-Based Neural Rendering2023/3/1
- CCL: Continual Contrastive Learning for LiDAR Place Recognition2023/3/1
- Hybrid Map-Based Path Planning for Robot Navigation in Unstructured Environments2023/3/1
- ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data2023/3/1
- CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data2023/2/1
- A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems2023/2/1
- SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation2022/11/1
- IR-MCL: Implicit Representation-Based Online Global Localization2022/10/1
- Long-Term Localization using Semantic Cues in Floor Plan Maps2022/10/1
- Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors2022/9/1
- SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data2022/9/1
- Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments2022/8/1
- Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation2022/7/1
- Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions2022/6/1
- OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition2022/3/1
- 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
- Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments2021/8/1
- Learning an Overlap-based Observation Model for 3D LiDAR Localization2021/5/1
- OverlapNet: Loop Closing for LiDAR-based SLAM2021/5/1
- SuMa++: Efficient LiDAR-based Semantic SLAM2021/5/1
- Simple But Effective Redundant Odometry for Autonomous Vehicles2021/5/1
- 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