Title :
Vehicle Detection in Nighttime Environment by Locating Road Lane and Taillights
Author :
Tsong-Yi Chen;Chao-Ho Chen;Guan-Ming Luo;Wu-Chih Hu;Johng-Chern Chern
Author_Institution :
Dept. of Electron. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
Abstract :
In this study, we developed a driver-assistance system on Lane Detection during nighttime by mounting a CCD camera inside the car to capture images and to use computer visions to detect lanes and the driving condition in front of the vehicle. This system can increase the safety of driving during low light condition. The features of this system includes: lane detection, surrounding vehicles detection, lane deviation detection, and distance estimation. After testing on highways with high volume of vehicles, the system in this study can actually reach the ideal results. The camera execution speed can reach about 20 frames per second. This could accomplish the real-time image progressing on highways.
Keywords :
"Vehicles","Vehicle detection","Cameras","Estimation","Road transportation","Image color analysis","Mathematical model"
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2015 International Conference on
DOI :
10.1109/IIH-MSP.2015.82