| 1 | Lane Detection Based on Contrast Improvement in Foggy Road Image显示文摘This paper proposes a lane detection algorithm using sub stretching of histogram.First of all,makes a decision whether the image has foggy or not.For this,sets the interest region and analyzes the histogram of the region. If the image has a fog,applies a contrast enhancement algorithm using sub-stretching of histogram.In order to detect lane information,uses connectivity of edge pixels of road image and finds the straight lines forward to the center of image.To evaluate the performance of proposed algorithm,tested the algorithm on the road image obtained by a driving test and verified its efficiency. | Youngtak Kim Namki Lee Jaehyoung Yu Hernsoo Hahn | 2010 | Journal of Measurement Science and Instrumentation2010，1，S1： | 0 |
| 2 | Obstacle detection using multi-sensor fusion显示文摘This paper presents an obstacle detection approach for blind pedestrians by fusing data from camera and laser sensor.For purely vision-based blind guidance system,it is difficult to discriminate low-level obstacles with cluttered road surface,while for purely laser-based system,it usually requires to scan the forward environment,which turns out to be very inconvenient.To overcome these inherent problems when using camera and laser sensor independently,a sensor-fusion model is proposed to associate range data from laser domain with edges from image domain.Based on this fusion model,obstacle's position,size and shape can be estimated.The proposed method is tested in several indoor scenes,and its efficiency is confirmed. | Qing Lin Youngjoon Han Namki Lee Hwanik Chung | 2013 | Journal of Measurement Science and Instrumentation2013，4，3： | 0 |
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