TomatoFT/Vehicle-Trajectory-Prediction-in-Ho-Chi-Minh-city-streets
Predict the trajectory of the vehicles in HCM city streets with YOLOv7 + DeepSORT + CNN-LSTM/CNN-GRU.
This project helps predict where vehicles will move next on Ho Chi Minh City streets. By analyzing video footage of traffic, it identifies and tracks individual vehicles to forecast their future paths. This tool is valuable for urban planners, traffic management authorities, or researchers studying traffic flow in densely populated areas.
No commits in the last 6 months.
Use this if you need to understand and predict vehicle movement patterns from video surveillance in urban environments, especially in contexts similar to Ho Chi Minh City.
Not ideal if you need to predict vehicle trajectories in entirely different environments (e.g., highways, rural roads) or require real-time, high-precision control for autonomous vehicles.
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Python
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Last pushed
Sep 26, 2023
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