R-PCC: A Baseline for Range Image-based Point Cloud Compression-Reference-Cited by-同舟云学术

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R-PCC: A Baseline for Range Image-based Point Cloud Compression

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Robotics and Automation (ICRA)
language:
Short-container-title:

Author:

Wang Sukai¹,Jiao Jianhao²,Cai Peide²,Wang Lujia²

Affiliation:

1. Hong Kong University of Science and Technology,Department of Computer Science and Engineering,Hong Kong SAR,China,999077

2. Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Hong Kong SAR,China,999077

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09811880.pdf?arnumber=9811880

Reference35 articles.

1. Vision meets robotics: The KITTI dataset

2. 1 year, 1000 km: The Oxford RobotCar dataset

3. A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry

4. Scalability in Perception for Autonomous Driving: Waymo Open Dataset

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3. NeRI: Implicit Neural Representation of LiDAR Point Cloud Using Range Image Sequence;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Neighborhood constraint extraction for rapid modeling of point cloud scenes in large-scale power grid substations;Journal of King Saud University - Computer and Information Sciences;2024-02

5. LiDAR点云压缩下采样与量化参数联合优化建模;Laser & Optoelectronics Progress;2024

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