Παρακολούθηση
Xieyuanli Chen
Xieyuanli Chen
Associate Professor at NUDT China
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα nudt.edu.cn - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
5262019
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
2812020
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
2112021
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
1602022
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
1522021
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
1222022
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
1072021
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
902021
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
872022
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
872021
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
842022
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
752022
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
752022
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
732022
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
702017
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
602021
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
59*2024
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
592023
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
552020
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
542022
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