Xieyuanli Chen

Citée par

	Toutes	Depuis 2020
Citations	3533	3456
indice h	31	30
indice i10	56	55

1700

850

425

1275

20172018201920202021202220232024202517 19 32 71 245 490 858 1611 175

Accès public

Tout afficher

50 articles

0 article*

disponibles

non disponibles

Sur la base des exigences liées au financement

Coauteurs

Cyrill StachnissProfessor for Photogrammetry & Robotics, University of BonnAdresse e-mail validée de igg.uni-bonn.de
Jens BehleyLecturer (Privatdozent) at Photogrammetry & Robotics Lab, University of BonnAdresse e-mail validée de igg.uni-bonn.de
Huimin LuNational University of Defense TechnologyAdresse e-mail validée de nudt.edu.cn
Junhao XiaoAssociate Professor of Robotics, National University of Defense TechnologyAdresse e-mail validée de nudt.edu.cn
Junyi MaPh.D Candidate, Shanghai Jiao Tong University (SJTU)Adresse e-mail validée de sjtu.edu.cn
Andres MiliotoCV/ML @ Skyways, IncAdresse e-mail validée de skyways.com
Benedikt MerschPhD student at Photogrammetry & Robotics LabAdresse e-mail validée de igg.uni-bonn.de
Lucas NunesUniversity of BonnAdresse e-mail validée de uni-bonn.de
Ignacio VizzoSenior Perception Engineer, DexoryAdresse e-mail validée de uni-bonn.de
Louis WiesmannPhotogrammetry & Robotics Lab, University of BonnAdresse e-mail validée de igg.uni-bonn.de
Jingyi XuShanghai Jiao Tong UniversityAdresse e-mail validée de sjtu.edu.cn
Juergen GallUniversity of BonnAdresse e-mail validée de iai.uni-bonn.de
Rodrigo MarcuzziPhD Student and Research AssistantAdresse e-mail validée de uni-bonn.de
Kaihong HuangPhotogrammetry, University of BonnAdresse e-mail validée de igg.uni-bonn.de
Timo RöhlingFraunhofer FKIEAdresse e-mail validée de fkie.fraunhofer.de
Shijie LiBonn UniversityAdresse e-mail validée de iai.uni-bonn.de
Emanuele PalazzoloOutrider Technologies Inc.Adresse e-mail validée de uni-bonn.de
Olga VysotskaResearch ScientistAdresse e-mail validée de ethz.ch
Tiziano GuadagninoUniversity of BonnAdresse e-mail validée de uni-bonn.de
Philippe GiguèreProfessor, Computer Science, Laval University, Norlab, DAMAS, CerVIM, REPARTI, CRDM, FORAC, IIDAdresse e-mail validée de ift.ulaval.ca

Suivre

Xieyuanli Chen

Associate Professor at NUDT China

Adresse e-mail validée de nudt.edu.cn - Page d'accueil

Robotics SLAM Localization LiDAR Perception Robot Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
SuMa++: Efficient LiDAR-based Semantic SLAM X Chen, A Milioto, E Palazzolo, P Giguère, J Behley, C Stachniss IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019	528	2019
OverlapNet: Loop closing for LiDAR-based SLAM X Chen, T Läbe, A Milioto, T Röhling, O Vysotska, A Haag, J Behley, ... Robotics: Science and Systems (RSS) 16 (009), 1-10, 2020	285	2020
Moving object segmentation in 3D LiDAR data: A learning-based approach exploiting sequential data X Chen, S Li, B Mersch, L Wiesmann, J Gall, J Behley, C Stachniss IEEE Robotics and Automation Letters 6 (4), 6529-6536, 2021	211	2021
Overlaptransformer: An efficient and yaw-angle-invariant transformer network for lidar-based place recognition J Ma, J Zhang, J Xu, R Ai, W Gu, X Chen IEEE Robotics and Automation Letters 7 (3), 6958-6965, 2022	161	2022
Range image-based LiDAR localization for autonomous vehicles X Chen, I Vizzo, T Läbe, J Behley, C Stachniss 2021 IEEE International Conference on Robotics and Automation (ICRA), 5802-5808, 2021	152	2021
OverlapNet: A siamese network for computing LiDAR scan similarity with applications to loop closing and localization X Chen, T Läbe, A Milioto, T Röhling, J Behley, C Stachniss Autonomous Robots, 1-21, 2022	122	2022
Poisson surface reconstruction for LiDAR odometry and mapping I Vizzo, X Chen, N Chebrolu, J Behley, C Stachniss 2021 IEEE international conference on robotics and automation (ICRA), 5624-5630, 2021	108	2021
Multi-scale interaction for real-time lidar data segmentation on an embedded platform S Li, X Chen, Y Liu, D Dai, C Stachniss, J Gall IEEE Robotics and Automation Letters 7 (2), 738-745, 2021	91	2021
Automatic labeling to generate training data for online LiDAR-based moving object segmentation X Chen, B Mersch, L Nunes, R Marcuzzi, I Vizzo, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (3), 6107-6114, 2022	87	2022
Deep compression for dense point cloud maps L Wiesmann, A Milioto, X Chen, C Stachniss, J Behley IEEE Robotics and Automation Letters 6 (2), 2060-2067, 2021	87	2021
Segcontrast: 3d point cloud feature representation learning through self-supervised segment discrimination L Nunes, R Marcuzzi, X Chen, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (2), 2116-2123, 2022	84	2022
Bow3d: Bag of words for real-time loop closing in 3d lidar slam Y Cui, X Chen, Y Zhang, J Dong, Q Wu, F Zhu IEEE Robotics and Automation Letters 8 (5), 2828-2835, 2022	76	2022
Efficient spatial-temporal information fusion for lidar-based 3d moving object segmentation J Sun, Y Dai, X Zhang, J Xu, R Ai, W Gu, X Chen 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	76	2022
Receding moving object segmentation in 3d lidar data using sparse 4d convolutions B Mersch, X Chen, I Vizzo, L Nunes, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (3), 7503-7510, 2022	74	2022
Robust SLAM system based on monocular vision and LiDAR for robotic urban search and rescue X Chen, H Zhang, H Lu, J Xiao, Q Qiu, Y Li 2017 IEEE International Symposium on Safety, Security and Rescue Robotics …, 2017	70	2017
A survey on global lidar localization: Challenges, advances and open problems H Yin, X Xu, S Lu, X Chen, R Xiong, S Shen, C Stachniss, Y Wang International Journal of Computer Vision, 1-33, 2024	60*	2024
Keypoint matching for point cloud registration using multiplex dynamic graph attention networks C Shi, X Chen, K Huang, J Xiao, H Lu, C Stachniss IEEE Robotics and Automation Letters 6 (4), 8221-8228, 2021	60	2021
Nerf-loam: Neural implicit representation for large-scale incremental lidar odometry and mapping J Deng, Q Wu, X Chen, S Xia, Z Sun, G Liu, W Yu, L Pei Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	59	2023
Learning an Overlap-based Observation Model for 3D LiDAR Localization X Chen, T Läbe, L Nardi, J Behley, C Stachniss IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020	55	2020
Self-supervised point cloud prediction using 3d spatio-temporal convolutional networks B Mersch, X Chen, J Behley, C Stachniss Conference on Robot Learning, 1444-1454, 2022	54	2022

Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.

Articles 1–20

Nombre de citations par an

Citations en double

Citations fusionnées

Ajouter les coauteursCoauteurs

Suivre

Citée par

Coauteurs