NDLI: Lateral distance detection model based on convolutional neural network

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Lateral distance detection model based on convolutional neural network

Content Provider	IET Digital Library
Author	Zhang, Xiang Yang, Wei Tang, Xiaolin Wang, Yun
Abstract	To evaluate the performance of the advanced driver assistant systems, such as lane departure warning systems (LDWs) and lane keeping assist systems (LKAs), a deep learning model is proposed to estimate the lateral distance between the vehicle and lane boundaries. The training of a deep learning model requires a large number of label images, but the generation of label images is time consuming and boring. Therefore, an improved image quilting algorithm based on a convolutional neural network is proposed. A lot of lane and asphalt pavement images can be synthesised using fewer images of a real road scene. Moreover, an algorithm that aims to automatically generate label images using lane and asphalt pavement images to satisfy the distribution of real scenes is proposed. Experimental results showed that the generated label images can be used to train a deep learning model, and the lateral distance can be estimated with a sub-centimetre precision, which can provide an effective benchmark for the road test of LDWs, LKAs and other driving assistant systems.
Starting Page	31
Ending Page	39
Page Count	9
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 1, Jan (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2017.0431
Journal	IET Intelligent Transport Systems
Publisher Date	2018-04-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Advanced Driver Assistant System Asphalt Pavement Image Synthesis Computer Vision And Image Processing Technique Convolutional Neural Network Deep Learning Model Driver Information System Image Recognition Improved Image Quilting Algorithm Label Image Generation Lane Boundaries Lane Departure Warning System Lane Keeping Assist System Lateral Distance Estimation Lateral Distance Recognition LDWs Learning in AI LKAs Neural Computing Technique Neural Nets Real Road Scene Traffic Engineering Computing
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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