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3DLaneNAS : neural architecture search for accurate and light-weight 3D lane detection

author
variant title
3DLaneNAS : neural architecture search for accurate and light-weight 3D lane detection
statement of authorship
Ali Zoljodi, Mohammad Loni, Sadegh Abadijou, Mina Alibeigi & Masoud Daneshtalab
source
Artificial Neural Networks and Machine Learning - ICANN 2022 : proceedings. Part I
publisher
year of publication
pages
p. 404-415
series
Lecture notes in computer science ; 13529
conference name, date
31st International Conference on Artificial Neural Networks, September 6-9, 2022
conference location
Bristol
url
ISSN
0302-9743
ISBN
978-3-031-15918-3
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
Reserch Group
Centre of dependable computing systems
Zoljodi, A., Loni, M., Abadijou, S., Alibeigi, M., Daneshtalab, M. 3DLaneNAS : neural architecture search for accurate and light-weight 3D lane detection // Artificial Neural Networks and Machine Learning - ICANN 2022 : proceedings. Part I. : Springer, 2022. p. 404-415. (Lecture notes in computer science ; 13529). https://doi.org/10.1007/978-3-031-15919-0_34