NDLI: Fast and robust approaches for lane detection using multi-camera fusion in complex scenes

Content Provider	IET Digital Library
Author	Xiong, Hui Yu, Dameng Liu, Jinxin Huang, Heye Xu, Qing Wang, Jianqiang Li, Keqiang
Abstract	Due to the limited sensing ability with the single-view camera and the real-time requirement for multi-view scenarios or deep learning-based methods in complex scenes, the output of lane detection is not applicable for the actual lane departure warning system. To tackle this challenge, the authors propose a fast and robust approach for lane detection based on well-designed multi-camera fusion, integrating vanishing point estimation, and specified feature fitting strategies. To meet real-time demand, several simple but effective image processing means are introduced and improved. Concretely, on account of statistical information, the authors’ method carries out an improved region of interest selection to speed up the detection. Afterwards, they used the B-spline fitting lane line on the strength of the RANdom SAmple consensus algorithm for the front view image detection and improved the Hough algorithm for the two rear-view images correspondingly. Using coordinate conversion and self-designed fusion strategy, they get the robust lane information based on symmetrical lane detection from the left/right sides of both front and side views. Experimental results in newly introduced multi-camera scenarios show that their multi-camera fusion framework contributes to significant improvement in accuracy and robustness in comparison with traditional methods.
Starting Page	1582
Ending Page	1593
Page Count	12
ISSN	1751956X
Volume Number	14
e-ISSN	17519578
Issue Number	Issue 12, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2019.0399
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/14/12
Journal	IET Intelligent Transport Systems
Publisher Date	2020-08-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Actual Lane Departure Warning System B-spline Fitting Lane Line Camera Complex Scenes Computer Vision And Image Processing Technique Coordinate Conversion Deep Learning-based Method Edge Detection Feature Extraction Feature Fitting Strategy Front View Image Detection Hough Algorithm Hough Transforms Image Processing Image Recognition Image Sonsor Integral Transforms in Numerical Analysis Interpolation And Function Approximation Learning in AI Mathematics Multicamera Fusion Framework Multiview Scenario Neural Computing Technique Numerical Analysis Random Sample Consensus Algorithm Real-time Requirement Rear-view Image Robust Lane Information Self-designed Fusion Strategy Sensor Fusion Single-view Camera SpLine Statistical Information Symmetrical Lane Detection
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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