Photometric-Planner for Visual Path Following - Archive ouverte HAL Access content directly
Journal Articles IEEE Sensors Journal Year : 2021

Photometric-Planner for Visual Path Following


Robotic navigation is the aspect of cognition related to robot robust mobility. It combines perception, some knowledge on the environment and a set of goal poses to reliably control the robot during a mission that involves displacement. Vision-based autonomous navigation is an instantiation of the latter discipline where visual perception is used to control the robot and to represent the environment. This paper presents a vision-based navigation system that uses its onboard camera to navigate and a visual path that represents the scene with a set of images. Being a memory-based system, the navigation is conceived as a concatenation of positioning tasks in the visual servoing scheme. The novelty on the proposed system relies on the generation of the images that compose the visual path. These images are rendered from a preobtained model of the scene. The experiments evaluate the performance of the system over three different scenes, contemplating indoor and outdoor environments, and using an Unmanned Aerial Vehicle as testbed.
Fichier principal
Vignette du fichier
Sensors_2020.pdf (9.38 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-02955520 , version 1 (02-10-2020)



Eder Rodriguez, Guillaume Caron, Claude Pegard, David Lara Alabazares. Photometric-Planner for Visual Path Following. IEEE Sensors Journal, 2021, 21 (10), pp.11310-11317. ⟨10.1109/JSEN.2020.3027848⟩. ⟨hal-02955520⟩
69 View
389 Download



Gmail Facebook X LinkedIn More