MLP-Based Efficient Convolutional Neural Network for Lane Detection
Author:
Affiliation:
1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
2. Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China
Funder
National Natural Science Foundation of China
National Key Research Program of China
China Special Fund for Surveying, Mapping and Geoinformation Research in the Public Interest
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/10287112/10123992.pdf?arnumber=10123992
Reference69 articles.
1. An efficient lane detection algorithm for lane departure detection
2. A review of recent advances in lane detection and departure warning system
3. HSI color model based lane-marking detection
4. Robust Lane Detection using Two-stage Feature Extraction with Curve Fitting
5. Spatial as Deep: Spatial CNN for Traffic Scene Understanding
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