Computer Vision for a Camel-Vehicle Collision Mitigation System
arXiv · · Notable
Summary
Researchers are exploring computer vision models to mitigate Camel-Vehicle Collisions (CVC) in Saudi Arabia, which have a high fatality rate. They tested CenterNet, EfficientDet, Faster R-CNN, and SSD for camel detection, finding CenterNet to be the most accurate and efficient. Future work involves developing a comprehensive system to enhance road safety in rural areas.
Keywords
computer vision · camel detection · object detection · CenterNet · wildlife vehicle collision
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