Image-Based Approach for Parking-Spot Detection with Occlusion Handling-Reference-Cited by-同舟云学术

Image-Based Approach for Parking-Spot Detection with Occlusion Handling

Published:2020-09 Issue:9 Volume:146 Page:04020098
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Zhang Cheng¹,Du Bo²

Affiliation:

1. Visiting Associate Fellow, Simulation, Modelling, Analysis, Research, and Teaching (SMART) Infrastructure Facility, Univ. of Wollongong, Wollongong 2522, Australia.

2. Lecturer, Simulation, Modelling, Analysis, Research, and Teaching (SMART) Infrastructure Facility and School of Civil, Mining, and Environmental Engineering, Univ. of Wollongong, Wollongong 2522, Australia (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000420

Reference23 articles.

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2. Deep learning for decentralized parking lot occupancy detection;Amato G.;Expert Syst. Appl.,2017

3. Smart Parking-Management System for Commercial Vehicle Parking at Public Rest Areas

4. Blumer K. H. R. Halaseh M. U. Ahsan H. Dong and N. Mavridis. 2012. “Cost-effective single-camera multi-car parking monitoring and vacancy detection towards real-world parking statistics and real-time reporting.” In Proc. Int. Conf. on Neural Information 506–515. Berlin: Springer.

5. A Computational Approach to Edge Detection

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