A Fast Edge Detection Algorithm for Road Boundary Extraction under Non-uniform Light Condition

Abstract

In this paper a fast edge detection algorithm based on a simple logic has been implemented for road boundary detection in non-uniform light condition. Road images taken in the campus have been used to test the algorithm. First the image samples are segregated into different segments depending on the intensity. Subsequently standard edge detectors are applied to extract the edges in each of the segments. A logical operation between the edges of the different segments brings out the edges of the final image.

Integrating Millimeter Wave Radar with a Monocular Vision Sensor for On-Road Obstacle Detection Applications

“…Then the left-right boundary of real obstacles is the driver’s visual focus, so the edges of obstacle should be determined. Researches [ 24 – 26 ] on road edge detection have been done well based on image processing. Thus, without loss of generality, we just assume that the road border in the image is already known for the convenience of testing.…”