Despite significant progress in vision-based detection methods, the task of detecting traffic
objects at night remains challenging. Visual information of medium and small stationary …

It is hard to detect on-road objects under various lighting conditions. To improve the quality
of the classifier, three techniques are used. We define subclasses to separate daytime and …

For the past several decades, the number of vehicles has been increased for many times,
leading to a lot of traffic issues. The nighttime accident rate is much higher than that in …

In order to solve the problem that, in complex and wide traffic scenes, the accuracy and
speed of multi-object detection can hardly be balanced by the existing object detection …

Autonomous driving systems in internet of vehicles (IoV) applications usually adopt a cloud
computing mode. In these systems, information got at the edge of the cloud computing …

Existing night vehicle detection methods mainly detect vehicles by detecting headlights or
taillights. However, these features are adversely affected by the complex road lighting …

As the basic task of an intelligent transportation system, nighttime vehicle detection is
associated with many challenges. Existing methods usually ignore the significant challenges …

The indoor scene object detection technology is of important research significance, which is
one of the popular research topics in the field of scene understanding for indoor robots. In …

Intelligent traffic systems for traffic surveillance and monitoring have become a topic of great
interest to some cities in the world. Generally, the existing traffic surveillance systems are …

Nowadays, the growing number of vehicles in Taiwan, traffic jams on the expressway,
especially on holidays, and during rush hours are increasing. To solve this problem, the first …