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DualQuat-LOAM: LiDAR Odometry and Mapping parametrized on Dual Quaternions

• Authors : Velasco-Sánchez, Edison P.; Recalde, Luis F.; Li, Guanrui

Subjects: Computer Science - Robotics

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LOAM: Low-latency Communication, Caching, and Computation Placement in Data-Intensive Computing Networks

• Authors : Zhang, Jinkun; Yeh, Edmund

Subjects: Computer Science - Networking and Internet Architecture; Computer Science - Distributed, Parallel, and Cluster Computing

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Mesh-LOAM: Real-time Mesh-Based LiDAR Odometry and Mapping

• Authors : Zhu, Yanjin; Zheng, Xin; Zhu, Jianke

Subjects: Computer Science - Robotics

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KDD-LOAM: Jointly Learned Keypoint Detector and Descriptors Assisted LiDAR Odometry and Mapping

• Authors : Huang, Renlang; Zhao, Minglei; Chen, Jiming

Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Robotics

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Light-LOAM: A Lightweight LiDAR Odometry and Mapping based on Graph-Matching

• Authors : Yi, Shiquan; Lyu, Yang; Hua, Lin

Subjects: Computer Science - Robotics

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

• Authors : Deng, Junyuan; Chen, Xieyuanli; Xia, Songpengcheng

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Generalized LOAM: LiDAR Odometry Estimation with Trainable Local Geometric Features

• Authors : Honda, Kohei; Koide, Kenji; Yokozuka, Masashi

Subjects: Computer Science - Robotics

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InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping

• Authors : Li, Shuaixin; Tian, Bin; Xiaozhou, Zhu

Subjects: Computer Science - Robotics

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PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry

• Authors : Seo, Dong-Uk; Lim, Hyungtae; Lee, Seungjae

Subjects: Computer Science - Robotics; Computer Science - Computer Vision and Pattern Recognition

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Optimized SC-F-LOAM: Optimized Fast LiDAR Odometry and Mapping Using Scan Context

• Authors : Liao, Lizhou; Fu, Chunyun; Feng, Binbin

Subjects: Computer Science - Robotics

• Source: Proceedings of the 2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI), Nanjing, China, 28-30 October 2022

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