Novel Direct Multi-View Terrestrial Laser Scanner Data Registration Using Range, Polar and Azimuthal Angles Uncertainties DOI
Janusz Będkowski

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Review of simultaneous localization and mapping (SLAM) for construction robotics applications DOI

Andrew Yarovoi,

Yong K. Cho

Automation in Construction, Journal Year: 2024, Volume and Issue: 162, P. 105344 - 105344

Published: March 11, 2024

Language: Английский

Citations

24

Visual SLAM: What Are the Current Trends and What to Expect? DOI Creative Commons
Ali Tourani, Hriday Bavle, José Luis Sánchez-López

et al.

Sensors, Journal Year: 2022, Volume and Issue: 22(23), P. 9297 - 9297

Published: Nov. 29, 2022

Vision-based sensors have shown significant performance, accuracy, and efficiency gain in Simultaneous Localization Mapping (SLAM) systems recent years. In this regard, Visual (VSLAM) methods refer to the SLAM approaches that employ cameras for pose estimation map generation. We can see many research works demonstrated VSLAMs outperform traditional methods, which rely only on a particular sensor, such as Lidar, even with lower costs. VSLAM utilize different camera types (e.g., monocular, stereo, RGB-D), been tested various datasets KITTI, TUM RGB-D, EuRoC) dissimilar environments indoors outdoors), multiple algorithms methodologies better understanding of environment. The mentioned variations made topic popular researchers resulted wide range methodologies. primary intent survey is present advances systems, along discussing existing challenges trends. given an in-depth literature forty-five impactful papers published domain VSLAMs. classified these manuscripts by characteristics, including novelty domain, objectives, employed algorithms, semantic level. also discuss current trends future directions may help investigate them.

Language: Английский

Citations

67

BIM-based indoor mobile robot initialization for construction automation using object detection DOI
Xinge Zhao, Chien Chern Cheah

Automation in Construction, Journal Year: 2022, Volume and Issue: 146, P. 104647 - 104647

Published: Nov. 28, 2022

Language: Английский

Citations

40

BIM–GIS Integrated Utilization in Urban Disaster Management: The Contributions, Challenges, and Future Directions DOI Creative Commons
Yu Cao,

Cong Xu,

Nur Mardhiyah Aziz

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(5), P. 1331 - 1331

Published: Feb. 27, 2023

In the 21st Century, disasters have severe negative impacts on cities worldwide. Given significant casualties and property damage caused by disasters, it is necessary for disaster management organizations public to enhance urban management. As an effective method, BIM (Building Information Modeling)–GIS (Geographic System) integration can significantly improve Despite significance of BIM–GIS integration, there rarely adoption in management, which hinders development quality efficiency To reduce impact this study developed perform a systematic review utilization Through review, capabilities prevention mitigation, response, post-disaster recovery are reviewed analyzed. Moreover, data acquisition approaches, interoperability, analysis methods, future directions integrated process also discussed study, managers effectively familiarize themselves with utilize thereby improving survival rate victims For GIS software developers, support them methods trends thus optimize GIS.

Language: Английский

Citations

40

RFID localization in construction with IoT and security integration DOI Creative Commons
Shahed I. Khan, Biplob Ray, Nemai Chandra Karmakar

et al.

Automation in Construction, Journal Year: 2023, Volume and Issue: 159, P. 105249 - 105249

Published: Dec. 31, 2023

Radio Frequency Identification (RFID) systems have remarkable potential to be used in the supply chain management of construction industry. RFID's ability identify, track and locate objects provides tremendous flexibility planning operation Consequently, RFID can contribute on-time project completion, cost savings, enhanced reputation, avoidance regulatory fines. Moreover, enhances visibility into inventory, equipment, workforce, ensuring real-time safety measures. This paper conducts an in-depth analysis state-of-the-art detection localization techniques, identifying gaps specific sector. The proposes integration emerging technologies, with a particular focus on Internet Things (IoT) security mechanisms. aims solve challenges using industry's chain. It promises enhance efficiency, security, effectiveness technology, leading more efficient resilient system.

Language: Английский

Citations

30

Efficient visual inspection of fire safety equipment in buildings DOI

Fangzhou Lin,

Boyu Wang, Zhengyi Chen

et al.

Automation in Construction, Journal Year: 2025, Volume and Issue: 171, P. 105970 - 105970

Published: Jan. 27, 2025

Language: Английский

Citations

1

Enhanced visual SLAM for construction robots by efficient integration of dynamic object segmentation and scene semantics DOI
Yang Liu, Hubo Cai

Advanced Engineering Informatics, Journal Year: 2023, Volume and Issue: 59, P. 102313 - 102313

Published: Dec. 18, 2023

Language: Английский

Citations

16

3D multi-robot olfaction in naturally ventilated indoor environments: Locating a time-varying source at unknown heights DOI
Mingrui Jiang,

Chengxin Tong,

Zhenfeng Li

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 171939 - 171939

Published: March 26, 2024

Language: Английский

Citations

5

An unsupervised low-light image enhancement method for improving V-SLAM localization in uneven low-light construction sites DOI
Xinyu Chen, Yantao Yu

Automation in Construction, Journal Year: 2024, Volume and Issue: 162, P. 105404 - 105404

Published: April 3, 2024

Language: Английский

Citations

5

Real-time visual SLAM based YOLO-Fastest for dynamic scenes DOI Open Access
Can Gong,

Ying Sun,

Chunlong Zou

et al.

Measurement Science and Technology, Journal Year: 2024, Volume and Issue: 35(5), P. 056305 - 056305

Published: Feb. 5, 2024

Abstract Within the realm of autonomous robotic navigation, simultaneous localization and mapping (SLAM) serves as a critical perception technology, drawing heightened attention in contemporary research. The traditional SLAM systems perform well static environments, but real physical world, dynamic objects can destroy geometric constraints system, further limiting its practical application world. In this paper, robust RGB-D system is proposed to expand number points scene by combining with YOLO-Fastest ensure effectiveness model construction, then based on that, new thresholding designed differentiate features objection bounding box, which takes advantage double polyline residuals after reprojection filter feature points. addition, two Gaussian models are constructed segment moving box depth image achieve effect similar instance segmentation under premise ensuring computational speed. experiments conducted sequences provided TUM dataset evaluate performance method, results show that root mean squared error metric absolute trajectory algorithm paper has at least 80% improvement compared ORB-SLAM2. Higher robustness environments both high low DS-SLAM Dynaslam, effectively provide intelligent navigation for mobile robots.

Language: Английский

Citations

4