LiDAR Registration

LiDAR registration focuses on accurately aligning multiple LiDAR scans or integrating LiDAR data with other sensor modalities (like cameras or radar) to create a comprehensive 3D representation of an environment. Current research emphasizes developing robust and efficient registration algorithms, including those leveraging deep learning architectures (like GANs and convolutional neural networks) for image-to-image translation and improved feature matching, as well as geometric approaches using lines and planes. These advancements are crucial for applications in robotics, autonomous driving, and 3D mapping, enabling more accurate localization, scene understanding, and object recognition in diverse and challenging environments.