2D occupancy-grid SLAM of structured indoor environments using a single camera. (27th July 2012)

• Record Type: Journal Article
• Authors: Asmar, Daniel; Shaker, Samir
• Is Part Of: International journal of mechatronics and automation. Volume 2:Number 2(2012)
• Page Start: 112
• Page End: 124
• Publication Date: 2012-07-27
• Subjects: occupancy-grid SLAM -- monocular SLAM -- dense depth maps; Mechatronics -- Periodicals; Automation -- Periodicals; 629.8905
• Languages: English
• ISSNs: 2045-1059

Abstract

Occupancy-grid simultaneous localisation and mapping (SLAM) has traditionally been implemented using range sensors such as lasers and sonars. This paper presents an implementation of occupancy grid SLAM using a single camera as the only on-board exteroceptive sensor and in a manner that is similar to a laser-based system. Range information is extracted from each image using a new approach. First, the ground plane is determined based on the orientation and height of segmented regions, then virtual rays are cast into the camera's field of view from the optical centre to the intersection of each ray's 2D projection with the ground boundaries. Occupancy-grid SLAM then uses the extracted depth information to build a dense map of the robot's setting. Experiments are conducted inside a real lab setting and results prove the success of our system.