Learning to Localize Using a LiDAR Intensity Map

Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun

Abstract: In this paper we propose a real-time, calibration-agnostic and effective localization system for self-driving cars. Our method learns to embed the online LiDAR sweeps and intensity map into a joint...