Title :
Dynamic Vehicle Full-View Driver Assistance System in Vehicular Networks
Author :
Tsung-Lin Wu ; Chen-Da Tsai ; Chao-Chun Yang
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;
Conference_Titel :
Robot, Vision and Signal Processing (RVSP), 2013 Second International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-3183-5
DOI :
10.1109/RVSP.2013.17