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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Thammakaroon, P. Tangamchit, P. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Control Syst. & Instrum. Eng., King Mongkut's Univ. of Technol. Thonburi, Thon Buri (Thammakaroon, P.; Tangamchit, P.) |
| Abstract | We present an adaptive brake warning system in order to help a driver keep a safe distance from the cars in front to avoid rear-end collisions. The safe distance continuously varies according to the carpsilas velocity, driving events, and road conditions. Three sensors, an ECU reader, a camera, and a laser range finder, are used to collect the vehicular velocity, the density of cars on the road and the following distance respectively. These data are sent to a main computer to calculate the level of critical situation where the driver needs to apply brake ranging from 0 to 4 where level 0 is the safest and level 4 means the most dangerous. Two decision algorithms: adaptive threshold and fuzzy inference system are compared. The results from real driving situations indicated that both methods can achieve an accuracy of 76.98% and 65.46% respectively. |
| Starting Page | 204 |
| Ending Page | 208 |
| File Size | 787126 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424428571 |
| DOI | 10.1109/ITST.2008.4740257 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-24 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Programmable control Adaptive systems Roads Alarm systems Cameras Automobiles Collision avoidance Adaptive control Vehicles Accidents |
| Content Type | Text |
| Resource Type | Article |
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