Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2789168.2795174 | ACM International Conference on Mobile Computing and Networking |
Keywords | Field | DocType |
Cloudlet,Crowdsourcing,Design,Edge Computing,Mobile sensors,Vision Computing | Edge computing,Architecture,Cloudlet,Computer science,Crowdsourcing,Computer network,Visual analytics,Exploit,Sensor system,Multimedia,Vision algorithms | Conference |
Citations | PageRank | References |
1 | 0.35 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giulio Grassi | 1 | 173 | 11.70 |
| Matteo Sammarco | 2 | 19 | 4.61 |
| Paramvir Bahl | 3 | 4152 | 361.91 |
| Kyle Jamieson | 4 | 2075 | 123.13 |
| Giovanni Pau | 5 | 1168 | 97.97 |