On the Use of Artificial Intelligence Techniques in Transportation Systems
Ashwani Kumar Aggarwa
Ashwani Kumar Aggarwal, Assistant Professor, Department of Electronics and Instrumentation Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, India.
Manuscript received on October 19, 2015. | Revised Manuscript received on October 29, 2015. | Manuscript published on November 05, 2015. | PP: 21-24 | Volume-5 Issue-5, November 2015 . | Retrieval Number: E2734115515/2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/

Abstract: Transportation systems are becoming more and more advanced due to progress made in computational techniques used in transportation. Autonomous navigation of vehicles is not only useful in robotics but also in town planning and management. In this paper, use of artificial navigation techniques used in navigation of autonomous vehicles is discussed. The methods are based on machine vision techniques which extract feature points in images captured by cameras mounted on vehicles. These images are fed to artificial intelligence algorithms to estimate self-position of vehicles. Knowing the self-position of vehicles, autonomous navigation of vehicles is made feasible. The methods work effectively and vehicles are navigated in cluttered environments.
Keywords: Feature detectors, artificial intelligence, navigation, localization, 3D transformation.