Presentation | 2007-10-30 An Application for Estimating Car Position using Delay-Tolerant and Distributed Kalman Filter Yuya HIGUCHI, Hidekata HONTANI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this article, we propose a method for improving car positioning. Generally, car positions are estimated by using GPS receivers. But it is known that they have some blind regions. Here, we assume that each car measures not only by the GPS receivers, but also measures the running speed and the mutual distance to the car in front. By employing the distributed Kalman Filering that is tolerant to time-delay, we estimate the cars' positions accurately in real time. We simulated the performance of the filtering, and report the results in this article. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | ITS / car positioning / Distributed Kalman Filter / communication delay / Sensor Network |
Paper # | USN2007-36 |
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Committee | USN |
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Conference Date | 2007/10/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Ubiquitous and Sensor Networks(USN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Application for Estimating Car Position using Delay-Tolerant and Distributed Kalman Filter |
Sub Title (in English) | |
Keyword(1) | ITS |
Keyword(2) | car positioning |
Keyword(3) | Distributed Kalman Filter |
Keyword(4) | communication delay |
Keyword(5) | Sensor Network |
1st Author's Name | Yuya HIGUCHI |
1st Author's Affiliation | Nagoya Institute of Technology() |
2nd Author's Name | Hidekata HONTANI |
2nd Author's Affiliation | Nagoya Institute of Technology |
Date | 2007-10-30 |
Paper # | USN2007-36 |
Volume (vol) | vol.107 |
Number (no) | 294 |
Page | pp.pp.- |
#Pages | 6 |
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