Gm-APD LiDAR Single-Source Data Self-Guided: Obtaining High-Resolution Depth Map

Geiger-mode avalanche photodiode (Gm-APD) array LiDAR has become the current research focus due to its sensitive response, high precision, and easy integration. However, limitations of fabrication process manufacturing cost, images collected by Gm-APD have very serious image low-resolution problems. Since intensity map depth target can be obtained simultaneously relying on single-source data from LiDAR, we propose a self-guided method. We first perform superresolution, then use processed with corresponding for guided superresolution. The advantage this is that instead using high-resolution (HR) imaging devices different domains, it relies only obtain HR map, thus eliminating need additional registration work providing wider applicability. investigate feasibility proposed processing method evaluate our real an average peak signal-to-noise ratio 42.21, which better preserves original distance information targets while visually sharper outputs.