Studies show lots of advanced research on various data types such as image, speech, and
text using deep learning techniques, but nowadays, research on video processing is also an …

Over the past decade, drones have become a popular tool for wildlife management and
research. Drones have shown significant value for animals that were often difficult or …

This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …

Tracking control is one of the important working conditions of unmanned driving and can
help vehicles keep distances and run in an orderly manner to improve traffic utilization …

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 …

In this paper, we propose a deep Q-network (DQN) method to develop an autonomous
vehicle control system to achieve trajectory design and collision avoidance with regard to …

An autonomous vehicle (AV) uses high-level decision making and lower-level actuator
controls, such as throttle (acceleration), braking (deceleration), and steering (change in …

The use of UAVs and artificial intelligence has emerged as a promising approach for
monitoring road defects. This paper highlights the importance of these technologies in …

Detecting defects in industrial products is crucial to the strict quality control of products. Most
current methods focus on supervised learning, relying on large-scale labeled samples …

Surveillance systems are widely used in airports, streets, banks, military areas, borders,
hospitals, and schools. There are two types of surveillance systems which are real-time …