Pedestrian lane detection for assistive navigation of vision-impaired people: survey and experimental evaluation

HIGHLIGHTS

• who: YUNJIA LEI and collaborators from the School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Australia have published the research: Pedestrian Lane Detection for Assistive Navigation of Vision-impaired People: Survey and Experimental Evaluation, in the Journal: (JOURNAL)
• what: The authors provide a comprehensive review and analysis of the state-of-the-art (SOTA) methods that can be applied for pedestrian lane detection, including traditional methods and deep learning methods. The authors evaluate different methods on the pedestrian lane dataset PLVP3. The authors evaluate: (i) two feature-based methods and three deep-learning . . .
  

   

  

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