Image Features Selection Based on Computer Vision Techniques to Detect Potholes for Intelligent Transport System-Reference-Cited by-同舟云学术

Image Features Selection Based on Computer Vision Techniques to Detect Potholes for Intelligent Transport System

Published:2021-11-03 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Information Science and Communications Technologies (ICISCT)
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Author:

Omar Mohd,Kumar Pradeep

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9670004/9670007/09670066.pdf?arnumber=9670066

Reference12 articles.

1. Generative adversarial network for road damage detection

2. The Pascal Visual Object Classes (VOC) Challenge

3. Depth Information Enhancement Using Block Matching and Image Pyramiding Stereo Vision Enabled RGB-D Sensor

4. Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images

5. Human Detection Using Oriented Histograms of Flow and Appearance To cite this version: Human Detection using Oriented Histograms of Flow and Appearance;dalal;Eur Conf Comput Vis (ECCV),0

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