Range Image

Range images, 2D representations of 3D point cloud data, are increasingly used in robotics and autonomous driving for tasks like object segmentation and localization. Current research focuses on improving range image processing techniques, including novel projection methods to minimize missing data, the application of deep learning architectures like transformers and convolutional neural networks for tasks such as upsampling and semantic segmentation, and the incorporation of temporal information from sequential scans to enhance accuracy. These advancements are crucial for improving the robustness and efficiency of perception systems in challenging environments, leading to more reliable autonomous navigation and scene understanding.