Improving Lane Annotation in Autonomous Driving Data Sets with Classical Computer Vision Techniques
Author:
Affiliation:
1. University of Novi Sad,Faculty of Technical Sciences,Departmant of Computing and Control Engineering,Novi Sad,Serbia
2. Customer Programs,TTTech Auto,Belgrade,Serbia
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10173931/10173961/10174073.pdf?arnumber=10174073
Reference20 articles.
1. Learning Lightweight Lane Detection CNNs by Self Attention Distillation
2. Robust lane detection from continuous driving scenes using deep neural networks;zou;IEEE Transactions on Vehicular Technology,2019
3. A Review of Computer Vision Techniques for the Analysis of Urban Traffic
4. Attention deep neural network for lane marking detection
5. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography;fischler;Comm ACM,1981
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