Line Detection Algorithm Based on Improved Random Hough Transformation

2019 ◽  
Vol 56 (5) ◽  
pp. 051001
Author(s):  
徐超 Xu Chao ◽  
平雪良 Ping Xueliang
Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1665
Author(s):  
Jakub Suder ◽  
Kacper Podbucki ◽  
Tomasz Marciniak ◽  
Adam Dąbrowski

The aim of the paper was to analyze effective solutions for accurate lane detection on the roads. We focused on effective detection of airport runways and taxiways in order to drive a light-measurement trailer correctly. Three techniques for video-based line extracting were used for specific detection of environment conditions: (i) line detection using edge detection, Scharr mask and Hough transform, (ii) finding the optimal path using the hyperbola fitting line detection algorithm based on edge detection and (iii) detection of horizontal markings using image segmentation in the HSV color space. The developed solutions were tuned and tested with the use of embedded devices such as Raspberry Pi 4B or NVIDIA Jetson Nano.


2005 ◽  
Vol 27 (5) ◽  
pp. 777-792 ◽  
Author(s):  
Yefeng Zheng ◽  
Huiping Li ◽  
D. Doermann

10.5772/63540 ◽  
2016 ◽  
Vol 13 (3) ◽  
pp. 98 ◽  
Author(s):  
Abhijeet Ravankar ◽  
Ankit A. Ravankar ◽  
Yohei Hoshino ◽  
Takanori Emaru ◽  
Yukinori Kobayashi

1990 ◽  
Vol 26 (17) ◽  
pp. 1400 ◽  
Author(s):  
Y.S. Oh ◽  
Z. Bien ◽  
I.H. Suh

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