Autonomous Ground Vehicles-Concepts and a Path to the Future
Autonomous vehicles promise numerous improvements to vehicular traffic: an increase in both highway capacity and traffic flow because of faster response times, less fuel consumption and pollution thanks to more foresighted driving, and hopefully fewer accidents thanks to collision avoidance systems....
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| Veröffentlicht in: | Proceedings of the IEEE 2012-05, Vol.100 (Special Centennial Issue), p.1831-1839 |
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| container_issue | Special Centennial Issue |
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| container_title | Proceedings of the IEEE |
| container_volume | 100 |
| creator | Luettel, Thorsten Himmelsbach, Michael Wuensche, Hans-Joachim |
| description | Autonomous vehicles promise numerous improvements to vehicular traffic: an increase in both highway capacity and traffic flow because of faster response times, less fuel consumption and pollution thanks to more foresighted driving, and hopefully fewer accidents thanks to collision avoidance systems. In addition, drivers can save time for more useful activities. In order for these vehicles to safely operate in everyday traffic or in harsh off-road environments, a multitude of problems in perception, navigation, and control have to be solved. This paper gives an overview of the most current trends in autonomous vehicles, highlighting the concepts common to most successful systems as well as their differences. It concludes with an outlook into the promising future of autonomous vehicles. |
| doi_str_mv | 10.1109/JPROC.2012.2189803 |
| format | Article |
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Digital image processing. Computational geometry</topic><topic>Radar tracking</topic><topic>Road vehicles</topic><topic>Roads</topic><topic>Semiconductor electronics. Microelectronics. Optoelectronics. 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| ispartof | Proceedings of the IEEE, 2012-05, Vol.100 (Special Centennial Issue), p.1831-1839 |
| issn | 0018-9219 1558-2256 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Artificial intelligence Autonomous driving Computer science control theory systems control Electronics environment perception Exact sciences and technology Imaging devices light detection and ranging (LIDAR) machine vision Mobile robots Navigation Optical telecommunications Pattern recognition. Digital image processing. Computational geometry Radar tracking Road vehicles Roads Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices Sensors Telecommunications Telecommunications and information theory Tracking unmanned ground vehicles (UGVs) |
| title | Autonomous Ground Vehicles-Concepts and a Path to the Future |
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