LiDAR Placement

Optimizing LiDAR placement is crucial for maximizing the performance of perception systems in autonomous vehicles and other applications. Current research focuses on developing efficient algorithms, often employing techniques like particle swarm optimization or greedy algorithms, to determine optimal LiDAR configurations for single or multi-LiDAR systems, considering factors like point cloud distribution and sensor fusion with cameras. These efforts aim to improve object detection accuracy and robustness, particularly in challenging conditions like adverse weather or sensor failures, leading to safer and more reliable autonomous systems. The development of novel evaluation metrics and realistic simulation environments are also key aspects of this ongoing research.