The purpose of this thsis is to develop a vision perception based Intelligent Vehicle Driving Assistant System ( IVDAS ), which utilizes CCD camera to capture the movement of vehicle and road image on DSP-Based . According to daytime and night time, we analyzed the full information in the image to acquire the important and proper characteristics about lane mark and vehicle.
There are two sub-systems in our system , including Lane Mark Detection and Vehicle Detection. The main goal is to identify if there are existing vehicles in the front of or near our vehicle. This system can provide information for the Intelligent Vehicle to make decision to avoid accident happening and assisted driver in driving safely.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0704105-154811 |
| Date | 04 July 2005 |
| Creators | Cheng, Lin-hsuan |
| Contributors | Chin-Ching Huang, Chih-Chiang Cheng, Yung-Chun Wu, Tzuen-Lih Chern, I-Chih Kao |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0704105-154811 |
| Rights | withheld, Copyright information available at source archive |
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