Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

1 code implementation • ECCV 2020 • Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk, Tim Fingscheidt

Self-supervised monocular depth estimation presents a powerful method to obtain 3D scene information from single camera images, which is trainable on arbitrary image sequences without requiring depth labels, e. g., from a LiDAR sensor.

Monocular Depth Estimation Semantic Segmentation