Parking-stall vacancy indicator system, based on deep convolutional neural networks

2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016

Volumn , Issue , 2016, Pages 655-660

  Valipour, Sepehr ^a   Siam, Mennatullah ^a   Stroulia, Eleni ^a   Jagersand, Martin ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Deep Learning; Internet of Things; Smart Cities; Smart Parking

Indexed keywords

CAMERAS; CONVOLUTION; COST EFFECTIVENESS; DEEP NEURAL NETWORKS; INTERNET OF THINGS; USER INTERFACES; WASTE MANAGEMENT;

CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; DETECTION METHODS; ENERGY WASTES; INDICATORS SYSTEMS; LARGE CITIES; PARKING LOTS; PARKING MANAGEMENT SYSTEMS; PARKING SPOT; SMART PARKING;

SMART CITY;

EID: 85015181563     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WF-IoT.2016.7845408     Document Type: Conference Paper

References (22)

1. Streetline. http://www. streetline. com/. Accessed: 2016-03-25.
2. Richard Arnott and Eren Inci. An integrated model of downtown parking and traffic congestion. Journal of Urban Economics, 60 (3): 418-442, 2006.
3. Ravneet Bajwa, Ram Rajagopal, Pravin Varaiya, and Robert Kavaler. In-pavement wireless sensor network for vehicle classification. In Information Processing in Sensor Networks (IPSN), 2011 10th International Conference on, pages 85-96. IEEE, 2011.
4. Ken Chatfield, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman. Return of the devil in the details: Delving deep into convolutional nets. arXiv preprint arXiv: 1405. 3531, 2014.
5. Paulo RL de Almeida, Luiz S Oliveira, Alceu S Britto, Eunelson J Silva, and Alessandro L Koerich. Pklot-a robust dataset for parking lot classification. Expert Systems with Applications, 42 (11): 4937-4949, 2015.
6. Yanfeng Geng and Christos Cassandras. New smart parking system based on resource allocation and reservations. Intelligent Transportation Systems, IEEE Transactions on, 14 (3): 1129-1139, 2013.
7. Ching-Chun Huang and Sheng-Jyh Wang. A hierarchical Bayesian generation framework for vacant parking space detection. Circuits and Systems for Video Technology, IEEE Transactions on, 20 (12): 1770-1785, 2010.
8. Hidetomo Ichihashi, Tatsuya Katada, Makoto Fujiyoshi, Akira Notsu, and Katsuhiro Honda. Improvement in the performance of camera based vehicle detector for parking lot. In Fuzzy Systems (FUZZ), 2010 IEEE International Conference on, pages 1-7. IEEE, 2010.
9. MYI Idris, YY Leng, EM Tamil, NM Noor, and Z Razak. park system: a review of smart parking system and its technology. Inf. Technol. J, 8 (2): 101-113, 2009.
10. Amin Kianpisheh, Norlia Mustaffa, Pakapan Limtrairut, and Pantea Keikhosrokiani. Smart parking system (sps) architecture using ultrasonic detector. International Journal of Software Engineering and Its Applications, 6 (3): 55-58, 2012.
11. Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097-1105, 2012.
12. Sheng-Fuu Lin, Yung-Yao Chen, and Sung-Chieh Liu. A vision-based parking lot management system. In Systems, Man and Cybernetics, 2006. SMC'06. IEEE International Conference on, volume 4, pages 2897-2902. IEEE, 2006.
13. Rongxing Lu, Xiaodong Lin, Haojin Zhu, and Xuemin Sherman Shen. Spark: a new vanet-based smart parking scheme for large parking lots. In INFOCOM 2009, IEEE, pages 1413-1421. IEEE, 2009.
14. Luz Elena Y Mimbela and Lawrence A Klein. Summary of vehicle detection and surveillance technologies used in intelligent transportation systems. 2000.
15. Mark Nixon. Feature extraction & image processing. Academic Press, 2008.
16. Zeydin Pala and Nihat Inanc. Smart parking applications using rfid technology. In RFID Eurasia, 2007 1st Annual, pages 1-3. IEEE, 2007.
17. Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei. ImageNet Large Scale Visual Recognition Challenge. International Journal of Computer Vision (IJCV), 115 (3): 211-252, 2015.
18. Karen Simonyan and Andrew Zisserman. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv: 1409. 1556, 2014.
19. Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. Going deeper with convolutions. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1-9, 2015.
20. Hongwei Wang and Wenbo He. A reservation-based smart parking system. In Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on, pages 690-695. IEEE, 2011.
21. B Yegnanarayana. Artificial neural networks. PHI Learning Pvt. Ltd., 2009.
22. Andrea Zanella, Nicola Bui, Angelo Castellani, Lorenzo Vangelista, and Michele Zorzi. Internet of things for smart cities. Internet of Things Journal, IEEE, 1 (1): 22-32, 2014.