Study of Precautionary Assistance System of Lane Keeping Based on Monocular Vision

Abstract:

The precautionary assistance system of lane keeping based on monocular vision obtains the road edge features, decides which driving conditions is happened using the fuzzy controller, then gives drivers the corresponding precautionary instructions. In order to improve the processing speed and reduce the needed memory space, the combination of the searching method of connected area and Randomized Hough Transform (RHT) based on two-dimension listing table storage are first proposed in the study, which detects the road edge features. The fuzzy controller is designed with two input and single output, which gives the precautionary instructions in real time. The method proposed in the study is proved that the detection algorithm is simple, and compute velocity is fast, which is fit for the high speed in vehicle driving.

• Periodical: Applied Mechanics and Materials (Volumes 701-702)
• Pages: 405-412
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.701-702.405
• Online since: December 2014
• Authors: Li Zong Lin*, Chao Huang, Jian Feng Chen, Luo Shan Zhou, Shuai Han
• Keywords: Fuzzy Precautionary, Lane Keeping, Modified RHT, Monocular Vision

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