| Title |
Building Smart City Drone for Graffiti Detection and Clean-up |
| ID_Doc |
45005 |
| Authors |
Wang, SQ; Gao, JZ; Li, WY; Li, YN; Wang, KX; Lu, SQ |
| Title |
Building Smart City Drone for Graffiti Detection and Clean-up |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00337 |
| Abstract |
Graffiti on buildings and bridges are oftentimes an eyesore. Those on road symbol signs can even pose safety risks to motorists. Not only is graffiti cleaning costly, it also disrupts normal traffic. Graffiti is a widespread problem in many cities in the U.S. This paper proposes a machine learning approach to unmanned aerial vehicle (UAV) graffiti detection and removal. Our solution builds on the smart city framework. The proposed solution is expected to lower graffiti cleaning cost and minimize impact on city traffic. |
| Author Keywords |
UAV; Smart City; Graffiti detection |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000936421900285 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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