DocumentCode
685930
Title
Dynamic Vehicle Full-View Driver Assistance System in Vehicular Networks
Author
Tsung-Lin Wu ; Chen-Da Tsai ; Chao-Chun Yang
fYear
2013
fDate
10-12 Dec. 2013
Firstpage
39
Lastpage
42
Abstract
The Cooperative Collision Avoidance Warning System (CCAWS) for vehicle safety in vehicular networks has become very important in recent years. However, the advanced positioning methods will affect the accuracy of the CCAWS warning information. Hence, we propose a self-correction of the vehicle-based positioning method in vehicular networks. Moreover, we design a dynamic vehicle full-view driver assistance system on the Android operating system for vehicular networks. The dynamic vehicle full-view driver assistance system can be shown on a monitor and the neighboring vehicles can also be drawn on the map. Users can easily understand the road conditions. Moreover, the application can exchange traffic information with other vehicles and the map can also show vehicles which are out of range. Furthermore, the application can show the time to collision between two vehicles.
Keywords
Android (operating system); collision avoidance; driver information systems; road safety; Android operating system; CCAWS warning information; advanced positioning methods; cooperative collision avoidance warning system; dynamic vehicle full-view driver assistance system; neighboring vehicles; traffic information; vehicle safety; vehicle-based positioning method; vehicular networks; Accuracy; Androids; Global Positioning System; Humanoid robots; Information filters; Vehicle dynamics; Vehicles; Cooperative Collision Avoidance Warning System; Positioning and Driver Assistance System;
fLanguage
English
Publisher
ieee
Conference_Titel
Robot, Vision and Signal Processing (RVSP), 2013 Second International Conference on
Conference_Location
Kitakyushu
Print_ISBN
978-1-4799-3183-5
Type
conf
DOI
10.1109/RVSP.2013.17
Filename
6824657
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