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- W2995315218 abstract "For some IoV-based collision-avoidance architectures, it is not necessary that all vehicles have communication abilities. Hence, they need some particular designs and extra components. In the literature, one of them uses a camera mounted onto the infrastructure at an intersection to realize collision detection. Consequently, technologies for real-time object detection and dynamic prediction are required for the purposes of collision avoidance. In this paper, we propose an interesting method to predict the future position of a vehicle based on a well-known, real-time object detection project, YOLOv3. Our algorithm utilizes the concept of vehicle dynamics and the confidence region to predict the future position on vehicles. This will help us to realize real-time dynamic prediction and Internet of Vehicles (IoV)-based collision detection. Lastly, in accordance with the experimental results, our design shows the performance for predicting the future position of a vehicle." @default.
- W2995315218 created "2019-12-26" @default.
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- W2995315218 date "2019-12-09" @default.
- W2995315218 modified "2023-09-27" @default.
- W2995315218 title "Using Real-Time Dynamic Prediction to Implement IoV-Based Collision Avoidance" @default.
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- W2995315218 doi "https://doi.org/10.3390/app9245370" @default.
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