Detection of the electric vehicle using thermal characteristics

Švorc, David; Tichý, Tomáš; Růžička, Miroslav

doi:10.1109/scsp49987.2020.9133981

Cited by 9 publications

(10 citation statements)

References 16 publications

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“…ROI differs from other parts of the vehicle by the generated engine thermal energy and other operating parts that emit energy into this area. These conclusions were confirmed in our previous work [35]. Knowing each pixel's temperature value in the radiometric image type of vehicle engine unit was determined.…”

Section: Proposed Methods Of Data Processingsupporting

confidence: 81%

“…Thermal detection can be applied in tunnel technologies, additionally for checking diagnostic and condition prediction systems. The presented results offer the high potential of these technologies for electromobility, transportation, diagnostics, smart applications, their control, applicability, and further improvement [35].…”

Section: Discussionmentioning

confidence: 85%

“…Another issue was the low number of BEV vehicles in the traffic flow. To obtain more precise results, this method can be improved based on the hypothesis from the previous laboratory measurements [35]. The method used has its drawbacks.…”

Section: Discussionmentioning

confidence: 99%

“…Despite these limitations, thermal detection must be considered. Hence, it was necessary to confirm or decline the hypothesis made in [35] in real traffic and weather conditions. Three cameras were used for the experiment-two visual cameras, one for recording and collection of vehicle registration plates and the other for continuous recording of traffic, and a third that was a thermal camera.…”

Section: Methodology Of Measurementmentioning

confidence: 99%

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Thermal Feature Detection of Vehicle Categories in the Urban Area

et al. 2021

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The main goal of this paper is to present new possibilities for the detection and recognition of different categories of electric and conventional (equipped with combustion engines) vehicles using a thermal video camera. The paper presents a draft of a possible detection and classification system of vehicle propulsion systems working with thermal analyses. The differences in thermal features of different vehicle categories were found out and statistically proved. The thermal images were obtained using an infrared thermography camera. They were utilized to design a database of vehicle class images of passenger vehicles (PVs), vans, and buses. The results confirmed the hypothesis that infrared thermography might be used for categorizing the vehicle type according to the thermal features of vehicle exteriors and machine learning methods for vehicle type recognition.

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Section: Proposed Methods Of Data Processingsupporting

confidence: 81%

Section: Discussionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Section: Methodology Of Measurementmentioning

confidence: 99%

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Thermal Feature Detection of Vehicle Categories in the Urban Area

et al. 2021

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“…It is possible, through a temperature or radiation threshold, to differentiate between internal combustion vehicles and 100% electric vehicles. This threshold could not be used for hybrid vehicles because their heat footprint is more confusing [44,45]. There are thermal cameras of different sensor resolutions on the market.…”

mentioning

confidence: 99%

Remote Management Architecture of UAV Fleets for Maintenance, Surveillance, and Security Tasks in Solar Power Plants

et al. 2020

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This article presents a remote management architecture of an unmanned aerial vehicles (UAVs) fleet to aid in the management of solar power plants and object tracking. The proposed system is a competitive advantage for sola r energy production plants, due to the reduction in costs for maintenance, surveillance, and security tasks, especially in large solar farms. This new approach consists of creating a hardware and software architecture that allows for performing different tasks automatically, as well as remotely using fleets of UAVs. The entire system, composed of the aircraft, the servers, communication networks, and the processing center, as well as the interfaces for accessing the services via the web, has been designed for this specific purpose. Image processing and automated remote control of the UAV allow generating autonomous missions for the inspection of defects in solar panels, saving costs compared to traditional manual inspection. Another application of this architecture related to security is the detection and tracking of pedestrians and vehicles, both for road safety and for surveillance and security issues of solar plants. The novelty of this system with respect to current systems is summarized in that all the software and hardware elements that allow the inspection of solar panels, surveillance, and people counting, as well as traffic management tasks, have been defined and detailed. The modular system presented allows the exchange of different specific vision modules for each task to be carried out. Finally, unlike other systems, calibrated fixed cameras are used in addition to the cameras embedded in the drones of the fleet, which complement the system with vision algorithms based on deep learning for identification, surveillance, and inspection.

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A Comparative Study on Detection of Combustion Vehicles and Electric Vehicles in New Era

Swain¹,

Shendge²

2021

2021 International Conference on Emerging Smart Computing and Informatics (ESCI)

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Detection of the electric vehicle using thermal characteristics

Cited by 9 publications

References 16 publications

Thermal Feature Detection of Vehicle Categories in the Urban Area

Thermal Feature Detection of Vehicle Categories in the Urban Area

Remote Management Architecture of UAV Fleets for Maintenance, Surveillance, and Security Tasks in Solar Power Plants

A Comparative Study on Detection of Combustion Vehicles and Electric Vehicles in New Era

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