Constrained Monocular Obstacle Perception with Just One Frame

摘要

This paper presents a monocular perception system tested on wheeled mobile robots. Its significant contribution is the use of a single image to obtain depth information (one bit) when robots detect obstacles. The constraints refer to the environment. Flat and homogeneous floor radiance is assumed. Results emerge from using a set of multi-resolution focus measurement thresholds to avoid obstacle collision. The algorithm's simplicity and the robustness achieved can be considered the key points of this work. On-robot experimental results are reported and a broad range of indoor applications is possible. However, false obstacle detection occurs when the constraints fail. Thus, proposals to overcome it are explained.