الفهرس | Only 14 pages are availabe for public view |
Abstract This work presents the implementation of the algorithms used in solving the Simultaneous localization and mapping problem SLAM on a low-cost mobile robot platformusing wheel encoders for odometry estimation in addition to stereo camera for mapping and range finding after using computer vision algorithms. This work aims to integrate the theory to its real world applications through software programming and hardware platform designing to deliver an autonomous mobile robot prototype; Occupancy grid maps for different environment setup was obtained finally as a result in order to acquire the robot with a good perception about its environment to plan its autonomous trajectory |