Self-driving cars have gained significant attention in recent years. Real-time object detection
is a critical component of their perception system. One of the main challenges in developing …

Owing to the great adaptability to the weak light, the infrared camera equipped on the
unmanned aerial vehicle is more and more adopted to capture the aerial images. Therefore …

Detecting small objects in aerial images captured by unmanned aerial vehicles (UAVs) is
challenging due to their complex backgrounds and the presence of densely arranged yet …

Object detection in aerial images has been an active research area thanks to the vast
availability of unmanned aerial vehicles (UAVs). Along with the increase of computational …

Traffic Video Surveillance has emerged as an important tool in our lives. The ability to detect
& follow vehicles, both individual & public transport ones, is extremely useful in numerous …

This paper addresses the problem of car detection from aerial images using Convolutional
Neural Networks (CNNs). This problem presents additional challenges as compared to car …

To solve real-life problems for different smart city applications, using deep Neural Network,
such as parking occupancy detection, requires fine-tuning of these networks. For large …

To improve the accuracy of the You Only Look Once v5s (YOLOv5s) algorithm for object
detection, this paper proposes an improved YOLOv5s algorithm, CBAM-YOLOv5s, which …

Drone detection is a significant research topic due to the potential security threats posed by
the misuse of drones in both civilian and military domains. However, traditional drone …

Object detection is a core part of an intelligent surveillance system and a fundamental
algorithm in the field of identity identification, which is of great practical importance. Since …