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  • 标题:On the Use of Artificial Intelligence Techniques in Transportation Systems
  • 本地全文:下载
  • 作者:Ashwani Kumar Aggarwal
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2015
  • 卷号:5
  • 期号:5
  • 页码:21-24
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要: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.
  • 关键词:feature detectors; artificial intelligence;navigation; localization; 3D transformation
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