Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

Recent progress in deep learning has led to accurate and efficient generic object detection
networks. Training of highly reliable models depends on large datasets with highly textured …

目标检测是计算机视觉领域的一个基础任务和研究热点. YOLO 将目标检测概括为一个回归问题
, 实现端到端的训练和检测, 由于其良好的速度-精度平衡, 近几年一直处于目标检测领域的领先 …

Object detection is one of the most crucial tasks in computer vision and remote sensing to
identify specific categories of various objects in images. The unmanned aerial vehicle (UAV) …

To solve object detection issues in infrared images, such as a low recognition rate and a
high false alarm rate caused by long distances, weak energy, and low resolution, we …

YOLOv5 is one of the latest and often used versions of a very popular deep learning neural
network used for various machine learning tasks, mainly in computer vision. The YOLO …

Due to a growing number of people who carry out various adrenaline activities or adventure
tourism and stay in the mountains and other inaccessible places, there is an increasing …

Thermal infrared imaging is widely used in body temperature measurement, security
monitoring, and so on, but its safety research attracted attention only in recent years. We …

Detecting pedestrians in autonomous driving is a safety-critical task, and the decision to
avoid aa person has to be made with minimal latency. Multispectral approaches that …

Pedestrian Detection is the most critical module of an Autonomous Driving system. Although
a camera is commonly used for this purpose, its quality degrades severely in low-light night …