| Title |
Detection of the electric vehicle using thermal characteristics |
| ID_Doc |
42928 |
| Authors |
Svorc, D; Tichy, T; Ruzicka, M |
| Title |
Detection of the electric vehicle using thermal characteristics |
| Year |
2020 |
| Published |
|
| DOI |
10.1109/scsp49987.2020.9133981 |
| Abstract |
The main aim of this paper is to compare the thermal features of electric and conventional (equipped with combustion engines) vehicle exteriors. The thermal cameras can complement or substitute visible spectrum video cameras and other conventional sensors and provide rich classification data linked with vehicle type recognition. The thermal images, obtained through an infrared thermography camera, were evaluated. The important differences between thermal features of these types of vehicle exteriors were found out. The results confirmed the hypothesis that it is possible to use an infrared thermography for vehicle drive categorization, collection of traffic data and eventually for traffic management, Smart city implementation and telematics systems in the towns in future as well. |
| Author Keywords |
Thermal analysis; Vehicle classification; Electric vehicles; Thermal imaging; Detection of electric vehicles |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000590471100006 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Urban Studies |
| Research Area |
Computer Science; Urban Studies |
| PDF |
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