Xieyuanli Chen

Orcid: 0000-0003-0955-6681

According to our database¹, Xieyuanli Chen authored at least 76 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

CVTNet: A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, March, 2024

Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2024

LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2024

ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Explicit Interaction for Fusion-Based Place Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

VOOM: Robust Visual Object Odometry and Mapping using Hierarchical Landmarks.

[BibT_eX]

[DOI]

Yutong Wang

Chaoyang Jiang

Xieyuanli Chen

CoRR, 2024

MF-MOS: A Motion-Focused Model for Moving Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

3D point cloud-based place recognition: a survey.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2024

RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Geometry-based flipper motion planning for articulated tracked robots traversing rough terrain in real-time.

[BibT_eX]

[DOI]

J. Field Robotics, December, 2023

RDMNet: Reliable Dense Matching Based Point Cloud Registration for Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., October, 2023

Deep LiDAR-Radar-Visual Fusion for Object Detection in Urban Environments.

[BibT_eX]

[DOI]

Remote. Sens., September, 2023

Deep Reinforcement Learning for Flipper Control of Tracked Robots in Urban Rescuing Environments.

[BibT_eX]

[DOI]

Remote. Sens., September, 2023

SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., August, 2023

RSS-LIWOM: Rotating Solid-State LiDAR for Robust LiDAR-Inertial-Wheel Odometry and Mapping.

[BibT_eX]

[DOI]

Remote. Sens., August, 2023

Extreme Low-Resolution Action Recognition with Confident Spatial-Temporal Attention Transfer.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., June, 2023

BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., May, 2023

IR-MCL: Implicit Representation-Based Online Global Localization.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., March, 2023

Online pole segmentation on range images for long-term LiDAR localization in urban environments.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2023

Static map generation from 3D LiDAR point clouds exploiting ground segmentation.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2023

Long-Term Localization Using Semantic Cues in Floor Plan Maps.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

CCL: Continual Contrastive Learning for LiDAR Place Recognition.

[BibT_eX]

[DOI]

Jiafeng Cui

Xieyuanli Chen

IEEE Robotics Autom. Lett., 2023

Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots.

[BibT_eX]

[DOI]

CoRR, 2023

Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM.

[BibT_eX]

[DOI]

CoRR, 2023

TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Reinforcement Learning for Flipper Control of Tracked Robots.

[BibT_eX]

[DOI]

CoRR, 2023

RDMNet: Reliable Dense Matching Based Point Cloud Registration for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Global LiDAR Localization.

[BibT_eX]

[DOI]

CoRR, 2023

CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data.

[BibT_eX]

[DOI]

CoRR, 2023

ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Kernel-Based Attention Network for Point Cloud Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data.

[BibT_eX]

[DOI]

IROS, 2023

Hybrid Map-Based Path Planning for Robot Navigation in Unstructured Environments.

[BibT_eX]

[DOI]

IROS, 2023

NeU-NBV: Next Best View Planning Using Uncertainty Estimation in Image-Based Neural Rendering.

[BibT_eX]

[DOI]

IROS, 2023

ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data.

[BibT_eX]

[DOI]

IROS, 2023

PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

LiDAR-Based Semantic Perception for Autonomous Vehicles.

[BibT_eX]

[DOI]

Xieyuanli Chen

PhD thesis, 2022

SegContrast: 3D Point Cloud Feature Representation Learning Through Self-Supervised Segment Discrimination.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation and Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod.

[BibT_eX]

[DOI]

CoRR, 2022

OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization.

[BibT_eX]

[DOI]

Auton. Robots, 2022

ICK-Track: A Category-Level 6-DoF Pose Tracker Using Inter-Frame Consistent Keypoints for Aerial Manipulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pods.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Deep Compression for Dense Point Cloud Maps.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Efficient Localisation Using Images and OpenStreetMaps.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Poisson Surface Reconstruction for LiDAR Odometry and Mapping.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Simple But Effective Redundant Odometry for Autonomous Vehicles.

[BibT_eX]

[DOI]

Andrzej Reinke

Xieyuanli Chen

Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Range Image-based LiDAR Localization for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments.

[BibT_eX]

[DOI]

Hao Dong

Xieyuanli Chen

Cyrill Stachniss

Proceedings of the 10th European Conference on Mobile Robots, 2021

Mapping the Static Parts of Dynamic Scenes from 3D LiDAR Point Clouds Exploiting Ground Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 10th European Conference on Mobile Robots, 2021

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Semantic RGB-D SLAM for Rescue Robot Navigation.

[BibT_eX]

[DOI]

IEEE Access, 2020

OverlapNet: Loop Closing for LiDAR-based SLAM.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Learning an Overlap-based Observation Model for 3D LiDAR Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

SuMa++: Efficient LiDAR-based Semantic SLAM.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Target-based robot autonomous exploration in rescue environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Information and Automation, 2018

Scale-aware Monocular SLAM Based on Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Information and Automation, 2018

2017

Robust SLAM system based on monocular vision and LiDAR for robotic urban search and rescue.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Safety, Security and Rescue Robotics, 2017

Robust Relocalization Based on Active Loop Closure for Real-Time Monocular SLAM.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision Systems - 11th International Conference, 2017

2016

The design of a fully autonomous robot system for urban search and rescue.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Information and Automation, 2016

Xieyuanli Chen

Timeline

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