ABSTRACT
Finding a parking spot in a busy indoor parking lot is a daunting task. Retracing a parked vehicle can be equally frustrating. We present BluePark, a collaborative sensing mechanism using smartphone sensors to solve these problems in real-time, without any input from user. We propose a novel technique of combining accelerometer and WiFi data to detect and localize parking and un-parking events in indoor parking lot. We validate our approach at the basement parking of a popular shopping mall. The proposed method outperforms Google Activity Recognition API by 20% in detecting drive state in indoor parking lot. Our experiments show 100% precision and recall for parking and un-parking detection events at low accelerometer sampling rate of 15Hz, irrespective of phone?s position. It has a low detection latency of 20s with probability of 0.9 and good location accuracy of 10m.
- http://outdoormediaplan.com/malls-media-kit.php. http://outdoormediaplan.com/malls-media-kit.php Accessed: 2015-08-3.Google Scholar
- Recognizing the User's Current Activity. http://goo.gl/5fm314 Accessed: 2014-08-16.Google Scholar
- Technical Report on BluePark. https://goo.gl/1C8fKv.Google Scholar
- Ester, M., peter Kriegel, H., S, J., and Xu, X. A density-based algorithm for discovering clusters in large spatial databases with noise. AAAI Press (1996), 226--231.Google Scholar
- Hemminki, S., Nurmi, P., and Tarkoma, S. Accelerometer-based transportation mode detection on smartphones. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, SenSys '13, ACM (New York, NY, USA, 2013), 13:1--13:14. Google ScholarDigital Library
- Lan, K.-C., and Shih, W.-Y. An intelligent driver location system for smart parking. Expert Systems with Applications 41, 5 (Apr. 2014), 2443--2456. Google ScholarDigital Library
- Nandugudi, A., Ki, T., Nuessle, C., and Challen, G. Pocketparker: Pocketsourcing parking lot availability. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '14 Adjunct, ACM (New York, NY, USA, 2014), 963--973. Google ScholarDigital Library
- Nawaz, S., Efstratiou, C., and Mascolo, C. Parksense: A smartphone based sensing system for on-street parking. In Proceedings of the 19th Annual International Conference on Mobile Computing & Networking, MobiCom '13, ACM (New York, NY, USA, 2013), 75--86. Google ScholarDigital Library
- Youssef, M., and Agrawala, A. The horus wlan location determination system. In Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services, MobiSys '05, ACM (New York, NY, USA, 2005), 205--218. Google ScholarDigital Library
Index Terms
- BluePark: tracking parking and un-parking events in indoor garages
Recommendations
ParkSense: a smartphone based sensing system for on-street parking
MobiCom '13: Proceedings of the 19th annual international conference on Mobile computing & networkingStudies of automotive traffic have shown that on average 30% of traffic in congested urban areas is due to cruising drivers looking for parking. While we have witnessed a push towards sensing technologies to monitor real-time parking availability, ...
PocketParker: pocketsourcing parking lot availability
UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous ComputingSearching for parking spots generates frustration and pollution. To address these parking problems, we present PocketParker, a crowdsourcing system using smartphones to predict parking lot availability. PocketParker is an example of a subset of ...
Autonomous Vehicles Empty Cruising Impact on Parking Dynamics
IWCTS '23: Proceedings of the 16th ACM SIGSPATIAL International Workshop on Computational Transportation ScienceAs development and utilization of autonomous vehicles is gaining momentum, it is expected to be decades of mixed environment where autonomous and human-driven vehicles will co-exist. Autonomous vehicles' ability to perform empty cruising can impact the ...
Comments