Vehicle detection in matlab [closed]

1. How to detect vehicles in Matlab?
2. Which algorithm is best for vehicle detection?
3. What is the overall objective of vehicle detection?
4. What is a vehicle detection?

How to detect vehicles in Matlab?

Detect vehicles in the test image by using the trained YOLO v2 detector. Pass the test image and the detector as input to the detect function. The detect function returns the bounding boxes and the detection scores. [bboxes,scores] = detect(detector,I);

Which algorithm is best for vehicle detection?

Therefore, in practical application, one-stage detection algorithm is generally adopted as the vehicle detection algorithm. A neural network with 30 convolution layers is constructed by improving the basic network structure of DarkNet-53, which is a road vehicle target detection method based on YOLOv3 [19–21].

What is the overall objective of vehicle detection?

Vehicle detection process on road are used for vehicle tracking, counts, average speed of each individual vehicle, traffic analysis and vehicle categorizing objectives and may be implemented under different environments changes.

What is a vehicle detection?

Abstract. Vehicle detection based computer vision is the essential algorithm in autonomous driving, aims at identifying which locating vehicles by digital images or videos. The basic idea of vehicle detection is detecting "blocks," which reflects the position of the vehicle in images or videos.