ABSTRACT
In this work we propose ParkMaster, a low-cost crowdsourcing architecture which exploits machine learning techniques and vision algorithms to evaluate parking availability in cities. While the user is normally driving ParkMaster enables off the shelf smartphones to collect information about the presence of parked vehicles by running image recognition techniques on the phones camera video streaming. The paper describes the design of ParkMaster's architecture and shows the feasibility of deploying such mobile sensor system in nowadays smartphones, in particular focusing on the practicability of running vision algorithms on phones.
- http://www.streetlinenetworks.com/.Google Scholar
- http://sfpark.org/.Google Scholar
- http://waze.com/.Google Scholar
- https://developer.android.com/google/play-services/location.html.Google Scholar
- https://developers.google.com/maps/documentation/roads/.Google Scholar
- T. Fabian. An algorithm for parking lot occupation detection. In Computer Information Systems and Industrial Management Applications, 2008. CISIM'08. 7th, pages 165--170. IEEE, 2008. Google ScholarDigital Library
- N. Kaempchen, U. Franke, and R. Ott. Stereo vision based pose estimation of parking lots using 3d vehicle models. In Intelligent Vehicle Symposium, 2002. IEEE, volume 2, pages 459--464. IEEE, 2002.Google Scholar
- S. Mathur, T. Jin, N. Kasturirangan, J. Chandrasekaran, W. Xue, M. Gruteser, and W. Trappe. Parknet: drive-by sensing of road-side parking statistics. In Proceedings of the 8th international conference on Mobile systems, applications, and services, pages 123--136. ACM, 2010. Google ScholarDigital Library
- D. C. Shoup. Cruising for parking. Transport Policy, 13(6):479--486, 2006.Google ScholarCross Ref
- N. True. Vacant parking space detection in static images. University of California, San Diego, 2007.Google Scholar
- P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, volume 1, pages I--511. IEEE, 2001.Google Scholar
- C. Wah. Parking space vacancy monitoring. Projects in Vision and Learning, 2009.Google Scholar
Index Terms
- Poster: ParkMaster: Leveraging Edge Computing in Visual Analytics
Recommendations
Parkmaster: an in-vehicle, edge-based video analytics service for detecting open parking spaces in urban environments
SEC '17: Proceedings of the Second ACM/IEEE Symposium on Edge ComputingWe present the design and implementation of ParkMaster, a system that leverages the ubiquitous smartphone to help drivers find parking spaces in the urban environment. ParkMaster estimates parking space availability using video gleaned from drivers' ...
All one needs to know about fog computing and related edge computing paradigms: A complete survey
AbstractWith the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billions of devices and humans to bring promising advantages ...
EVACON-Rainsnow Computing: An Amalgamation of Cloud and Its Inherited Computing to Encourage End User for Both Localized and Globalized Remote Computing
AbstractThe demand for cloud enabled computing is rising which motivated the researchers to develop various computings such as mobile cloud computing, edge computing, transparent computing, fog computing, federated cloud etc. This paper discusses ...
Comments