Street mapping, object detection and traffic load assessment from SVIs and field data using YOLOv3, machine learning and GIS-Reference-Cited by-同舟云学术

Street mapping, object detection and traffic load assessment from SVIs and field data using YOLOv3, machine learning and GIS

Published:2022-06-30 Issue:27 Volume:37 Page:14863-14876
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Naqvi Hasan Raja¹,Nawazuzzoha Md¹,Rashid Md. Mamoon¹,Mutreja Guneet²,Naqvi Darakhsha Fatma³,Shakeel Adnan¹,Siddiqui Masood Ahsan¹

Affiliation:

1. Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India

2. Environmental Systems Research Institute, New Delhi, India

3. Tiger Analytics, Chennai, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2091162

Reference35 articles.

1. High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data

2. Detection, classification, and mapping of U.S. traffic signs using google street view images for roadway inventory management

3. Bhandari S. 2019. Six dead, 13 injured in Jamia Nagar building fire. The Hindu. Retrieved on 28 January, 2022. https://www.thehindu.com/news/cities/Delhi/six-dead-13-injured-in-jamia-nagar-building-fire/article28840204.ece.

4. Street view imagery in urban analytics and GIS: A review

5. Detecting and mapping traffic signs from Google Street View images using deep learning and GIS

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