Real-time vehicle detection based on improved yolo v5

Y Zhang, Z Guo, J Wu, Y Tian, H Tang, X Guo - Sustainability, 2022 - mdpi.com
To reduce the false detection rate of vehicle targets caused by occlusion, an improved
method of vehicle detection in different traffic scenarios based on an improved YOLO v5 …

A lightweight object detection algorithm for remote sensing images based on attention mechanism and YOLOv5s

P Liu, Q Wang, H Zhang, J Mi, Y Liu - Remote Sensing, 2023 - mdpi.com
The specific characteristics of remote sensing images, such as large directional variations,
large target sizes, and dense target distributions, make target detection a challenging task …

YOLO-IR-Free: An Improved Algorithm for Real-Time Detection of Vehicles in Infrared Images

Z Zhang, J Huang, G Hei, W Wang - Sensors, 2023 - mdpi.com
In the field of object detection algorithms, the task of infrared vehicle detection holds
significant importance. By utilizing infrared sensors, this approach detects the thermal …

Lightweight landslide detection network for emergency scenarios

X Ge, Q Zhao, B Wang, M Chen - Remote Sensing, 2023 - mdpi.com
Landslides are geological disasters that can cause serious severe damage to properties
and lead to the loss of human lives. The application of deep learning technology to optical …

Maize (Zea mays L.) seedling detection based on the fusion of a modified deep learning model and a novel Lidar points projecting strategy

G Wang, D Huang, D Zhou, H Liu, M Qu… - International Journal of …, 2022 - ijabe.org
Accurate crop detection is the prerequisite for the operation of intelligent agricultural
machinery. Image recognition usually lacks accurate orientation information, and Lidar point …

SCA-YOLOv4: you only look once with squeeze-and-excitation, coordinate attention and adaptively spatial feature fusion

P Liu, Q Wang - Signal, Image and Video Processing, 2024 - Springer
How to effectively and efficiently identify multi-scale objects is one of the key challenges in
object detection. In order to make the classification and regression of single-stage object …

改进YOLOv5 的光伏组件热斑及遮挡小目标检测.

林正文, 宋思瑜, 范钧玮, 赵薇… - Journal of Computer …, 2024 - search.ebscohost.com
热斑会严重影响光伏组件发电效率, 利用红外光图像检测热斑, 难以同时实现树叶,
鸟粪等小型异物遮挡的有效识别, 及时发现和清理异物可以有效降低因受到持续遮挡而引起的热 …

Improving Traffic Surveillance with Deep Learning Powered Vehicle Detection, Identification, and Recognition

P Patel, R Mav, P Mehta, K Mer, J Kanani - International Conference on …, 2023 - Springer
As the volume of vehicles on our roads continues to surge, accurate detection and counting
of vehicles have become critical for effective traffic management. Identifying vehicles …

[引用][C] 卷积神经网络在建筑消防信息化的应用——以城市综合管廊火灾监控为例

黄萍, 陈铭, 陈可欣, 刘春祥, 余龙星 - 土木工程学报, 2022 - manu36.magtech.com.cn
随着科学技术的进步, 越来越多的行业和领域在朝着信息化方向发展. 综合管廊已成为城市能源
输送的重要保障, 但是在大型市政基础设施集中化发展背景下, 其火灾隐患问题逐渐凸显 …