LiDAR Beam Configuration

LiDAR beam configuration research focuses on optimizing the spatial arrangement and characteristics of LiDAR beams to improve the performance of various applications, primarily in autonomous driving and 3D scene understanding. Current research emphasizes integrating LiDAR data with other sensor modalities (cameras, radar) using techniques like deep learning-based fusion and graph-based alignment to address challenges such as sensor asynchrony and calibration inaccuracies. These advancements aim to enhance the accuracy and robustness of 3D object detection, localization, mapping, and semantic segmentation, ultimately leading to safer and more efficient autonomous systems.