Range View

Range view (RV) is a 2D representation of 3D LiDAR point clouds, offering a compact and structured format for processing. Current research focuses on improving RV-based methods for tasks like semantic segmentation and 3D object detection, addressing challenges such as missing data, distortions from projection, and limited resolution through techniques like novel projection methods, interpolation algorithms, and convolutional neural networks tailored to RV's unique properties. These advancements aim to enhance the efficiency and accuracy of LiDAR-based perception systems, particularly in applications like autonomous driving and robotics, where real-time performance and robust object understanding are crucial. The development of efficient RV-based models is driving improvements in both speed and accuracy compared to traditional point cloud processing.