June 7, 2022, 1:12 a.m. | Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov

cs.CV updates on arXiv.org arxiv.org

Lidars are depth measuring sensors widely used in autonomous driving and
augmented reality. However, the large volume of data produced by lidars can
lead to high costs in data storage and transmission. While lidar data can be
represented as two interchangeable representations: 3D point clouds and range
images, most previous work focus on compressing the generic 3D point clouds. In
this work, we show that directly compressing the range images can leverage the
lidar scanning pattern, compared to compressing the …

arxiv compression data data compression delta encoding image lidar

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Machine Learning Engineer

@ Apple | Sunnyvale, California, United States