|This paper will report new results we have obtained in applying stereo vision algorithms to the problem of autonomous vehicle navigation on highways. The project consists of two parts: lane extraction and obstacle detection. Our lane extraction system is based on a parameterized model for the appearance of the lanes in the images. This model captures the position, orientation and width of the ...

The objective of this research is to develop an advanced driver assistance system characterized with the functions of lane departure warning (LDW), forward collision warning (FCW) and adaptive front-lighting system (AFS). The system is mainly configured a CCD/CMOS camera to acquire the images of roadway ahead in association with the analysis made by an image-processing unit concerning the lane ...

example, in DVLT experiments which use 16 iterations to transition between lanes, the first MLP would be 1/16 of the total distance (along the line connecting the LCP's) away from the driving lane LCP and 15/16 from the destination LCP. The second MLP would be 1/8 and 7/8, respectively. Because the vehicle is instructed to move toward the MLP, the virtual views become misaligned with their resp...

This paper presents a lane-departure identification (LDI) system of a traveling vehicle on a structured road with lane marks. As is the case with modified version of the previous EDFbased LDI approach [J.W. Lee, A machine vision system for lane-departure detection, CVIU 86 (2002) 52–78], the new system increases the number of lane-related parameters and introduces departure ratios to determine ...

In this paper we described a new technique for measuring a distance to the front vehicle using stereo images. Only vehicles traveling in the driver's lane need to be detected. Thus the driver's lane is determined as the processing region in the images. Usually detecting lane markers does this. However, when the front vehicle appears in the near sight, it is not necessary to detect lane markers ...