A Vision-Based Unstructured Road Detection Algorithm for Self-driving Cars

2021 ◽  
pp. 369-379
Author(s):  
R. Rajesh ◽  
P. V. Manivannan
Keyword(s):  
Detection Algorithm ◽  
Road Detection ◽  
Self Driving Cars

Accurate Lane Detection for Self-Driving Cars: An Approach Based on Color Filter Adjustment and K-Means Clustering Filter

2020 ◽  
Vol 14 (01) ◽  
pp. 153-168
Author(s):  
Dongfang Liu ◽  
Yaqin Wang ◽  
Tian Chen ◽  
Eric T. Matson
Keyword(s):  
Autonomous Driving ◽  
Detection Algorithm ◽  
Input Image ◽  
Lane Detection ◽  
Color Filter ◽  
Road Detection ◽  
Extensive Experiment ◽  
Autonomous Mode ◽  
Self Driving Cars ◽  
Color Filters

Lane detection is a crucial factor for self-driving cars to achieve a fully autonomous mode. Due to its importance, lane detection has drawn wide attention in recent years for autonomous driving. One challenge for accurate lane detection is to deal with noise appearing in the input image, such as object shadows, brake marks, breaking lane lines. To address this challenge, we propose an effective road detection algorithm. We leverage the strength of color filters to find a rough localization of the lane marks and employ a K-means clustering filter to screen out the embedded noises. We use an extensive experiment to verify the effectiveness of our method. The result indicates that our approach is robust to process noises appearing in input image, which improves the accuracy in lane detection.

A Fast and Robust Heuristic Road Detection Algorithm

2014 ◽  
Vol 13 (8) ◽  
pp. 1555-1560 ◽  
Author(s):  
Tao Li ◽  
Cheng Xu ◽  
Youqi Cai
Keyword(s):  
Detection Algorithm ◽  
Road Detection

An Efficient Road Detection Algorithm Based on Parallel Edges

2015 ◽  
Vol 35 (7) ◽  
pp. 0715001 ◽  
Author(s):  
王文锋 Wang Wenfeng ◽  
丁伟利 Ding Weili ◽  
李勇 Li Yong ◽  
杨树军 Yang Shujun
Keyword(s):  
Detection Algorithm ◽  
Road Detection
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