Abstract
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.
Highlights
The number of automobiles has been increasing in urban areas in the whole world for decades
The goal of this paper is to present a method for reliable detection of thermal features of different vehicle categories, battery electric vehicles (BEVs) and internal combustion engine vehicles (ICEVs)
The hypothesis confirmed in previous work in laboratory conditions was evaluated in real traffic conditions; The hypothesis is valid for an appropriate number of BEV vehicles in traffic flow for qualitative confirmation of all parts of the hypothesis; This paper provides a basic approach for the thermal detection of BEV in traffic flow; Varied lighting and weather conditions require a program for an automatic recalibration of thermal camera parameters; The convolution neural network software, vector machine, and other object detection and classification methods need to be adopted to increase the precision of the presented approach in the future
Summary
The number of automobiles has been increasing in urban areas in the whole world for decades It results in serious problems such as congestions, traffic accidents, and air pollution, affecting cities on a social, economic, and environmental level [1]. Electromobility offers a solution to reduce carbon dioxide emissions and become less dependent on gasoline or diesel fuels. It becomes popular in current society due to reduced energy consumption [2]. Management, and transport, data collection is a necessity for the continuity and safety of all vehicle types [3]. In the past, collecting traffic data was limited to manual methods or induction loop collection in stationary positions [4]
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