Ali, Mohammed A. H. and Mailah, Musa (2018) Path Planning and Control of Mobile Robot in Road Environments using Sensor Fusion and Active Force Control. IEEE Transactions on Vehicular Technology. pp. 1-20. ISSN 0018-9545. (Published)
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Abstract
A path planning and control approach of a non-holonomic three-wheeled mobile robot (WMR) for on-line navigation in road following and roundabout environments is presented in this paper. We proposed a complete navigation algorithm that enables the WMR to autonomously navigate on the road with various scenarios. With such an algorithm, the robot is able to localize itself within the road environment and find a collision free-path starting from a pre-defined start position to a goal point using a novel approach called laser simulator (LS). The path planning and roundabout detection are determined based on LS and sensor fusion of a laser range finder (LRF), camera and odometry measurements. The sensor fusion algorithm is used to remove noises and uncertainties from sensors' data and provide optimum measurements for path planning. A robot motion control scheme is used for the purpose of controlling the kinematic parameters of WMR using a resolved acceleration control (RAC) coupled with an active force control (AFC) for rejecting the disturbances. Experimental results show the capability of the proposed algorithms to robustly drive the robot on the road following and roundabout environments.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Active Force Control, Laser Range Finder, Laser Simulator, Localization, Odometry, Road Roundabout, Sensor Fusion, Wheeled Mobile Robot, Wi-Fi Camera |
| Subjects: | T Technology > TE Highway engineering. Roads and pavements T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TS Manufactures |
| Faculty/Division: | Faculty of Manufacturing Engineering |
| Depositing User: | Dr. Mohammed Abdo Hashem |
| Date Deposited: | 21 Jan 2019 02:30 |
| Last Modified: | 21 Jan 2019 02:30 |
| URI: | http://umpir.ump.edu.my/id/eprint/23877 |
| Download Statistic: | View Download Statistics |
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