Lidar Network

Lidar networks leverage the strengths of LiDAR sensors—precise 3D point cloud data—for applications like autonomous driving and scene understanding. Current research focuses on improving data efficiency through semi-supervised learning techniques and multi-modal fusion with cameras and radar, often employing transformer-based architectures and knowledge distillation methods to enhance accuracy and robustness. These advancements aim to overcome limitations in data annotation and sensor limitations, ultimately leading to more reliable and efficient 3D perception systems for various applications.