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BluePark : tracking parking and un-parking events in indoor parking lot
Content Provider | Indraprastha Institute of Information Technology, Delhi |
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Author | Soubam, Sonia Naik, Vinayak Banerjee, Dipyaman Chakraborty, Dipanjan |
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 out-performs 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 20 seconds with probability of 0.9 and good location accuracy of 10 meters. |
File Format | |
Language | English |
Access Restriction | Open |
Subject Keyword | BluePark Parking |
Content Type | Text |
Resource Type | Technical Report |
Subject | Data processing & computer science |