DevNet: Deviation Aware Network for Lane Detection
Author:
Affiliation:
1. School of Transportation Science and Engineering, Beihang University, Beijing, China
2. School of Cyber Science and Technology, Beihang University, Beijing, China
Funder
National Natural Science Foundation of China
Young Scientists Fund of the National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/9916643/09768189.pdf?arnumber=9768189
Reference37 articles.
1. Deformable Convolutional Networks
2. Feature Pyramid Networks for Object Detection
3. Deep Residual Learning for Image Recognition
4. Deep High-Resolution Representation Learning for Visual Recognition
5. CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
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1. Point2Lane: Polyline-Based Reconstruction With Principal Points for Lane Detection;IEEE Transactions on Intelligent Transportation Systems;2023-12
2. Shallow Detail and Semantic Segmentation Combined Bilateral Network Model for Lane Detection;IEEE Transactions on Intelligent Transportation Systems;2023-08
3. A Multi-scale Enhanced Lightweight Lane Line Detection Algorithm;2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA);2023-05-26
4. Adaptive Multilane Detection for Autonomous Driving in Different Visibility Conditions Using Deep Learning;2023
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