The images acquired by a single visible light sensor are very susceptible to light conditions,
weather changes, and other factors, while the images acquired by a single infrared light …

In this paper, we propose a new infrared and visible image fusion method based on multi-
scale transformation and norm optimization. In this method, a new loss function is designed …

By detecting the defect location in high-resolution insulator images collected by unmanned
aerial vehicle (UAV) in various environments, the occurrence of power failure can be timely …

Traffic safety aims to change the attitude of citizens towards careless traffic on the roads,
making this the first step towards changing behavior. Also, teach the rules of safe pedestrian …

Substantial progress has been made in the field of object detection in road scenes.
However, it is mainly focused on vehicles and pedestrians. To this end, we investigate traffic …

Accurate object detection on the road is the most important requirement of autonomous
vehicles. Extensive work has been accomplished for car, pedestrian, and cyclist detection; …

Featured Application The proposed video object detection and recognition method has a
wide range of applications in self-driving vehicle scenarios, as well as intelligent …

Due to the various sizes of each object, such as kilometer stones, detection is still a
challenge, and it directly impacts the accuracy of these object counts. Transformers have …

Predicting urban flow is crucial for intelligent transportation systems (ITS), but it is not easy
due to several complicated elements (such as dynamic spatio-temporal dependencies …

To reduce the discrepancy between the source and target domains, a new multi-label
adaptation network (ML-ANet) based on multiple kernel variants with maximum mean …