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- W4285149770 abstract "Intelligent communities use innovative ideas to make human life better. Smart transportation is one of such idea to be implemented in smart cities. As number of vehicles are increasing too fast, need of smart transportation is increasing day by day. Vehicle detection and tracking has become essential part of such smart transportation systems. Self-driving car, accident detection, traffic flow statistics, license plate recognition are some related research works which can be undertaken based on vehicle detection and tracking. This paper compares different approaches of vehicle detection techniques. Multiple vehicle detection and tracking in various atmospheric and lighting circumstances by making use of deep learning-based single shot detection algorithm is described in detail by authors." @default.
- W4285149770 created "2022-07-14" @default.
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- W4285149770 date "2022-01-01" @default.
- W4285149770 modified "2023-09-26" @default.
- W4285149770 title "Single Shot Detector for Multi-vehicle Detection and Tracking in Different Lighting and Weather Conditions" @default.
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- W4285149770 doi "https://doi.org/10.1007/978-981-16-7985-8_66" @default.
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