Novel Multi-Scan LiDAR System for Enhanced Shadow Removal

In autonomous driving, sensor data is critical for ensuring safety in dynamic road environments. The conventional LiDAR systems face challenges when obstacles create shadow zones leading to incomplete mapping and potential detection failures. This paper presents a novel LiDAR system employing beam-splitting technology to minimize shadow regions in 3D mapping. Through multi-angle scanning, the proposed system effectively eliminates shadow regions, ensuring continuous detection in complex driving environments. Prototype testing demonstrates a reduction in shadow-induced detection errors achieving measurement accuracy within 3%. The research highlights the viability of this technology for safer autonomous driving systems.