Point-Cloud Scene Construction Based on Joint Source-Channel Coding Technology in Wireless Environments

Semantic communication as a key proposal in 6 G communication, aims to transmit information at the semantic level. Semantic communication system can perceive the deep semantic of transmitted information to enhance the efficiency of information transmission. Meanwhile, low-altitude economy dominated by unmanned aerial vehicles is emerging. Using unmanned aerial vehicle laser radar to acquire point cloud data for scene construction has become a popular research direction. In this study, we propose a method that can transform point-cloud data into rasterized image and reconstruct it on the receiver based on joint source-channel coding. It can achieve the rapid end-to-end reconstruction of point-cloud rasterized images.