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Relative position measurement of neighboring vehicles using DGPS and inter-vehicle communication
Institution:1. Faculty of Environmental Information, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-8520, Japan;2. Department of Mechanical Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo, Tokyo 113-8656, Japan;1. Radiology, Weill Cornell Medical College, New York, NY, USA;2. Neurology, New York University, New York, NY, USA;3. Department of Physiology, Neuroscience & Behavioral Sciences, St. George''s University, Grenada, West Indies;1. Centre for Earthquake Studies, National Centre for Physics, Pakistan;2. Department of Computer Sciences and IT, The University of Poonch, Rawalakot, Pakistan;3. Department of Computer Science, Pablo de Olavide University of Seville, Spain;1. Graphic Era (Deemed to be University), Dehradun, India;2. University of Petroleum and Energy Studies, Dehradun, India;1. The University of Queensland, Centre for Nutrition and Food Sciences (CNAFS), Queensland Alliance for Agriculture and Food Innovation (QAAFI), Brisbane, Queensland 4072, Australia;2. The University of Queensland, School of Agriculture and Food Sciences, Brisbane, Queensland 4072, Australia;3. Institute of Animal Science, 104 00 Přátelství 815, 104 00 Prague, Czech Republic;4. Department of Food Science, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences, Prague, 165 00 Prague, Czech Republic;1. Department of Naval Architecture and Ocean Systems Engineering, Graduate School of Korea Maritime and Ocean University, Pusan, Republic of Korea;2. Smartship Development Department, Daewoo Shipbuilding & Marine Engineering Co., Ltd, Siheung-si, Gyeonggi-do, Republic of Korea
Abstract:Relative position measurement using Differential Global Positioning System (DGPS) and inter-vehicle communication is proposed and evaluated. Relative position information of neighboring vehicles is expected to enhance Advanced Vehicle Control and Safety Systems (AVCSS) and to improve reliability of sensor information such as inter-vehicle distance. This paper proposes a method of acquisition of relative position information sufficiently accurate in real-time to be used for the above application. The proposed method is evaluated by experiments using two vehicles. Experimental results show that the proposed method makes it possible to acquire accurate and latency-compensated information in a short sampling period.
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