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- W2279664082 abstract "Collecting traffic data was traditionally limited to technologies such as inductive loops at fixed locations, though loops do not capture all road user types. Vision-based monitoring systems using simple video cameras can complement or substitute conventional sensors and provide rich positional and classification data. Recently, new camera technologies, including thermal cameras, have become available and may improve the performance of digital video-based sensors. However, the performance of thermal cameras under various lighting and temperature conditions has rarely been evaluated at multimodal facilities including intersections, where road user classification is required. The purpose of this study is to evaluate the performance of thermal video sensors under varying lighting and temperature conditions for the detection, classification, and speed measurement of road users. For this purpose, thermal and regular video data was collected simultaneously under different conditions across multiple sites. The regular camera narrowly outperformed the thermal camera in terms of detection and classification of all road users during daytime conditions. However, the detection rate dropped significantly for pedestrians and cyclists at night for the regular camera. Importantly, the thermal video performs acceptably during daytime, with a miss rate around 5%. Speed measurements by the thermal camera were consistently more accurate than for the regular video at daytime and nighttime. The thermal videos are insensitive to lighting interference and pavement temperature, and solve the issues associated with visible light cameras for traffic data collection, especially for pedestrians and cyclists." @default.
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- W2279664082 date "2016-01-01" @default.
- W2279664082 modified "2023-09-26" @default.
- W2279664082 title "A Comparison of Regular and Thermal Cameras for Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments" @default.
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