The development of intelligent vehicle involves many key technologies. The machine vision
technology based on deep learning has become one of the research hotspots because of its …

Vehicle detection based on machine vision is an important part of urban intelligent
transportation, and vehicle detection technology combined with deep learning is the …

At present, the degree of urban traffic congestion is increasing, so it is necessary to detect
and predict the road traffic situation. However, the current vehicle detection has some …

The object detection based on deep learning is an important application in the field of
vehicle environment perception, which has been a hot topic in recent years. We propose a …

Nowadays, the detection of traffic objects is an essential key link in the fields of automatic
driving and intelligent transportation, which is related to people's driving safety. A traffic …

In this paper, the target detection technology based on deep learning is applied to the
process of object detection in highway aerial photography. By detecting road objects such …

With the social progress and the continuous development of science and technology, people
have made great progress in the field of automatic driving and assisted driving. In automatic …

In the field of autonomous vehicles and intelligent transportation, the environment is
perceived by the cameras around the driving vehicle, and the traffic signs are recognized …

In the deep learning algorithm, YOLOv4 and Faster R-CNN have achieved excellent target
detection performance. To improve the real-time detection of small targets in traffic signs, this …

In response to the existing target detection algorithm in urban road vehicle detection, there
are problems such as low detection accuracy, poor real-time and robustness, etc., and …