Enhanced SCNN-Based Hybrid Spatial-Temporal Lane Detection Model for Intelligent Transportation Systems
Author:
Affiliation:
1. School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China
2. Hangzhou Hikvision Digital Technology Company Ltd., Hangzhou, China
Funder
Zhejiang Sci-Tech University 2021 National University Students Innovation and Entrepreneurship Training Program, China
Key Research and Development Program of Zhejiang Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10459010.pdf?arnumber=10459010
Reference36 articles.
1. Lane Detection and Classification Using Cascaded CNNs
2. Towards End-to-End Lane Detection: an Instance Segmentation Approach
3. Road Detection Using Semantic Segmentation-Based Convolutional Neural Network for Intelligent Vehicle System
4. SwiftLane: Towards Fast and Efficient Lane Detection
5. End-to-End Lane Marker Detection via Row-wise Classification
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1. Effective lane detection on complex roads with convolutional attention mechanism in autonomous vehicles;Scientific Reports;2024-08-19
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