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A hybrid spatial–temporal deep learning architecture for lane detection

Author(s): (Department of Transport and Planning, Faculty of Civil Engineering and Geosciences Delft University of Technology Delft The Netherlands)
(Faculty of Mechanical, Maritime and Materials Engineering Delft University of Technology Delft The Netherlands)
(Department of Transport and Planning, Faculty of Civil Engineering and Geosciences Delft University of Technology Delft The Netherlands)
(Department of Transport and Planning, Faculty of Civil Engineering and Geosciences Delft University of Technology Delft The Netherlands)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 1, v. 38
Page(s): 67-86
DOI: 10.1111/mice.12829
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.12829.
  • About this
    data sheet
  • Reference-ID
    10660266
  • Published on:
    28/03/2022
  • Last updated on:
    20/02/2023
 
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