Research on automotive radar network system with information of surrounding objects in near area
Project/Area Number |
24760294
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Communication/Network engineering
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Research Institution | Utsunomiya University (2013-2014) Shizuoka University (2012) |
Principal Investigator |
HATANO Hiroyuki 宇都宮大学, 工学(系)研究科(研究院), 准教授 (40402531)
|
Project Period (FY) |
2012-04-01 – 2015-03-31
|
Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
|
Keywords | 信号処理 / 高度交通システム / 障害物検出システム |
Outline of Final Research Achievements |
For driver’s assistance, automotive object detection system is one of important topics. The forward-looking systems by cameras are famous. In order to realize more reliable safety, the cameras had better be used with other sensing devices such as the radar network. We focus on forward-looking radar network systems in order to compensate weaknesses of imaging sensors. By using multiple radars, the radar network systems will achieve reliable detection and wide observation area. In the radar network, processing of the data, which is derived from the multiple receivers, is important because the processing decides the estimation performance. Especially, in this research, we tried our proposed estimation algorithm with virtual receivers which are derived from reflected signals by surrounded objects. The performance was evaluated and improved by simulated targets which were both single point model and 3D target model.
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Report
(4 results)
Research Products
(12 results)