Road object detection is an essential and imperative step for driving intelligent vehicles.
Generally, road objects, such as vehicles and pedestrians, present the characteristic of multi …

Deep learning-based classification and detection algorithms have emerged as a powerful
tool for vehicle detection in intelligent transportation systems. The limitations of the number …

During automatic driving, the complex background and mutual occlusion between multiple
targets hinder the correct judgment of the detector and miss detection. When a close-range …

Road target detection is a very challenging task in the field of computer vision because it is
easily affected by complex backgrounds and sparse features of small targets. YOLOv3 (You …

Artificial intelligence and deep learning-based techniques undoubtedly are the future of
Advanced Driver-Assistance Systems (ADAS) technologies. In this article is presented a …

In recent years, the proliferation of vehicles on roadways, accompanied by an escalating
demand for augmented safety and refined traffic management, has fueled substantial …

The vehicles are the core elements of smart transportation, and vehicle identification &
classification is an essential task in many sub-areas of smart transportation. With the change …

Due to the rising number of vehicles on the road and the limited resources supplied by
current infrastructures, traffic problems are becoming more prevalent. Signalized junctions …

Due to the complexity and diversity of underwater environments, traditional object detection
algorithms face challenges in maintaining robustness and detection accuracy when applied …

Intelligent vehicle tracking and detection are crucial tasks in the realm of highway
management. However, vehicles come in a range of sizes, which is challenging to detect …