YOLOv5s-DSD: An Improved Aerial Image Detection Algorithm Based on YOLOv5s DOI Creative Commons
Chaoyue Sun, Yajun Chen,

Ci Xiao

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(15), P. 6905 - 6905

Published: Aug. 3, 2023

Due to the challenges of small detection targets, dense target distribution, and complex backgrounds in aerial images, existing object algorithms perform poorly image tasks. To address these issues, this paper proposes an improved algorithm called YOLOv5s-DSD based on YOLOv5s. Specifically, SPDA-C3 structure is proposed used reduce information loss while focusing useful features, effectively tackling targets backgrounds. The novel decoupled head structure, Res-DHead, introduced, along with additional head, further improving network's performance detecting objects. original NMS replaced by Soft-NMS-CIOU issue neighboring box suppression caused distribution. Finally, extensive ablation experiments comparative tests are conducted VisDrone2019 dataset, results demonstrate that outperforms current state-of-the-art models achieves a significant improvement compared algorithm, increase 17.4% [email protected] 16.4% [email protected]:0.95, validating superiority improvements.

Language: Английский

Towards UAVs in Construction: Advancements, Challenges, and Future Directions for Monitoring and Inspection DOI Creative Commons
Liang Han, Seong‐Cheol Lee,

Woosung Bae

et al.

Drones, Journal Year: 2023, Volume and Issue: 7(3), P. 202 - 202

Published: March 15, 2023

The use of UAVs for monitoring and inspection in the construction industry has garnered considerable attention recent years due to their potential enhance safety, efficiency, accuracy. development application various types drones sensors have opened up new data collection analysis possibilities. This paper provides a thorough examination latest developments industry, including review current state an exploration applied applications. It also highlights technological advancements this field. However, as with any technology, there are challenges limitations that need be addressed, such regulatory legal concerns, technical limitations, processing challenges, training expertise, safety. Finally, we offer insights into solutions these innovative imaging technologies, integration other machine learning AI analysis, which some areas future investigation, highlight prospects drone-based inspection.

Language: Английский

Citations

56
Soft-NMS-Enabled YOLOv5 with SIOU for Small Water Surface Floater Detection in UAV-Captured Images DOI Open Access
F. Frank Chen, Lanxin Zhang,

S.W. Kang

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(14), P. 10751 - 10751

Published: July 8, 2023

In recent years, the protection and management of water environments have garnered heightened attention due to their critical importance. Detection small objects in unmanned aerial vehicle (UAV) images remains a persistent challenge limited pixel values interference from background noise. To address this challenge, paper proposes an integrated object detection approach that utilizes improved YOLOv5 model for real-time surface floaters. The proposed effectively detects by better integrating shallow deep features addressing issue missed detections and, therefore, aligns with characteristics floater dataset. Our has demonstrated significant improvements detecting floaters when compared previous studies. Specifically, average precision (AP), recall (R), frames per second (FPS) our achieved 86.3%, 79.4%, 92%, respectively. Furthermore, original model, exhibits notable increase both AP R, 5% 6.1%, As such, is well-suited on water’s surface. Therefore, method will be essential large-scale, high-precision, intelligent monitoring.

Language: Английский

Citations

20
Internal Observation Method of Temporary Structures Covered with a Construction Safety Net Using Image Processing and Unmanned Aerial Vehicles (UAVs) DOI Creative Commons
Minguk Kang, Seung-Hyeon Shin, Hyeon-Ji Jeong

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1488 - 1488

Published: Jan. 31, 2025

This study proposes a method for observing the inside of temporary structure covered with construction safety net using an image processing technique and 3D modeling. Images structures were obtained unmanned aerial vehicles (UAVs). Observing is limited to UAVs due nets that act as obstacles. To solve this problem, histogram equalization grayscale stretching techniques used visualize by nets. After verifying proposed small scale specimens, was applied climbing formwork installed at site. Three-dimensional modeling combined improved images processed method. The results indicated could identify internal objects not visible owing By comparing original through applying method, four target located sufficiently identified in images. Thus, can be effectively

Language: Английский

Citations

0
Millimeter-Wave OFDM-FMCW Radar-Communication Integration System Design DOI Creative Commons
Jiangtao Liu, Wenyuan Feng, Tao Su

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 1062 - 1062

Published: March 18, 2025

Frequency-modulated continuous wave (FMCW) and orthogonal frequency-division multiplexing (OFDM) technologies play significant roles in millimeter-wave radar communication. Their combinations, however, are understudied the literature. This paper introduces a novel OFDM-FMCW dual-functional radar-communications (DFRC) system that takes advantage of merits both technologies. Specifically, we introduce baseband modulation to traditional FMCW architecture. integration combines advantages waveforms, enhancing diversity transmission waveforms without compromising high-resolution distance detection enjoying communication capabilities OFDM meantime. We establish signal models for proposed DFRC develop holistic methods sensing communications accommodate integration. For radar, an efficient scheme, with impacts adding also being analyzed. A scheme is proposed, utilizing undersampling theory recover signals modulated by FMCW. The theoretical model receive analyzed, coarse estimation combined fine method Carrier Frequency Offset (CFO) proposed. System simulations validate feasibility demodulation.

Language: Английский

Citations

0
Artificial intelligence for enhanced decision-making in construction DOI

Hosam Hegazy,

Jiansong Zhang

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 441 - 462

Published: Jan. 1, 2025

Language: Английский

Citations

0
Challenges Facing the Use of Remote Sensing Technologies in the Construction Industry: A Review DOI Creative Commons
Abdulmohsen S. Almohsen

Buildings, Journal Year: 2024, Volume and Issue: 14(9), P. 2861 - 2861

Published: Sept. 10, 2024

Remote sensing is essential in construction management by providing valuable information and insights throughout the project lifecycle. Due to rapid advancement of remote technologies, their use has been increasingly adopted architecture, engineering, industries. This review paper aims advance understanding, knowledge base, practical implementation technologies industry. It may help support development robust methodologies, address challenges, pave way for effective integration into processes. presents results a comprehensive literature review, focusing on challenges faced using management. One hundred seventeen papers were collected from eight relevant journals, indexed Web Science, then categorized challenge type. The 44 exemplary studies reported three types platforms (satellite, airborne, ground-based sensing). provides professionals with deeper understanding applications classified eleven challenges. According number documents, critical shadow, spatial, temporal resolution issues. findings emphasize unmanned airborne systems (UASs) satellite sensing, which have become common tasks such as preconstruction planning, progress tracking, safety monitoring, environmental allows informed decision-making regarding integrating projects, leading more efficient design, execution.

Language: Английский

Citations

2
YOLOv5s-DSD: An Improved Aerial Image Detection Algorithm Based on YOLOv5s DOI Creative Commons
Chaoyue Sun, Yajun Chen,

Ci Xiao

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(15), P. 6905 - 6905

Published: Aug. 3, 2023

Due to the challenges of small detection targets, dense target distribution, and complex backgrounds in aerial images, existing object algorithms perform poorly image tasks. To address these issues, this paper proposes an improved algorithm called YOLOv5s-DSD based on YOLOv5s. Specifically, SPDA-C3 structure is proposed used reduce information loss while focusing useful features, effectively tackling targets backgrounds. The novel decoupled head structure, Res-DHead, introduced, along with additional head, further improving network's performance detecting objects. original NMS replaced by Soft-NMS-CIOU issue neighboring box suppression caused distribution. Finally, extensive ablation experiments comparative tests are conducted VisDrone2019 dataset, results demonstrate that outperforms current state-of-the-art models achieves a significant improvement compared algorithm, increase 17.4% [email protected] 16.4% [email protected]:0.95, validating superiority improvements.

Language: Английский

Citations

0