Convergence of Stereo Vision-Based Multimodal YOLOs for Faster Detection爋f Potholes
Source abstract
Abstract
Road potholes can cause serious social issues, such as unexpected damages to vehicles and traffic accidents. For efficient road management, technologies that quickly find potholes are required, and thus researches on such tec... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Infrastructure Maintenance and Monitoring · Asphalt Pavement Performance Evaluation · 3D Surveying and Cultural Heritage
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (37)
Show source-provided references
1. J. S. Miller and W. Y. Bellinger, “Distress identification manual for the long-term pavement performance program,” in Office of Infrastructure Research and Development Federal Highway Admin, Washington, DC, USA: Tech Rep FHWA-HRT-13-092, 2014. [Online]. Available: https://rosap.ntl.bts.gov/view/dot/28612.
2. R. Fan, “Real-time computer stereo vision for automotive applications,” Ph. D. Dissertation, University of Bristol, 2018.
3. Advanced drainage and pothole navigation system based on IoT
4. Pothole detection with image segmentation for advanced driver assisted systems
5. Review and analysis of pothole detection methods
6. Road surface 3D reconstruction based on dense subpixel disparity map estimation10.1109/TIP.2018.2808770 ↗
7. A review of three-dimensional imaging technologies for pavement distress detection and measurements10.1109/TITS.2015.2428655 ↗
8. The pothole patrol: Using a mobile sensor network for road surface monitoring
9. Detection of pavement distress using 3D laser scanning technology
10. A real-time 3D scanning system for pavement distortion inspection10.1088/0957-0233/21/1/015702 ↗
11. Pothole detection in asphalt pavement images10.1016/j.aei.2011.01.002 ↗
12. Pothole tagging system
13. Metrology and visualization of potholes using the microsoft kinect sensor
14. Real-time pothole detection on TMS320C6678 DSP
15. Pothole detection using computer vision and learning10.1109/TITS.2019.2931297 ↗
16. Challenges and feasibility for a comprehensive automated survey of pavement conditions
17. An efficient algorithm for pothole detection using stereo vision
18. Pothole detection methods
19. Integrated processing of image and GPR data for automated pothole detection10.1061/(ASCE)CP.1943-5487.0000582 ↗
20. A novel disparity transformation algorithm for road segmentation10.1016/j.ipl.2018.08.001 ↗
21. Image-based pothole detection system for ITS service and road management system10.1155/2015/968361 ↗
22. Deep learning based detection of potholes in Indian roads using YOLO
23. Pothole detection and dimension estimation system using deep learning (YOLO) and image processing
24. Computer vision-based detection and localization of potholes in asphalt pavement images
25. Unsupervised approach for autonomous pavement-defect detection and quantification using an inexpensive depth sensor10.1061/(ASCE)CP.1943-5487.0000245 ↗
26. Automated pothole distress assessment using asphalt pavement video data10.1061/(ASCE)CP.1943-5487.0000232 ↗
27. Asphalt pavement pothole detection using deep learning method based on YOLO neural network
28. A review on computer vision-based defect detection and condition assessment of concrete and asphalt civil infrastructure10.1016/j.aei.2015.01.008 ↗
29. Pothole detection based on disparity transformation and road surface modeling10.1109/TIP.2019.2933750 ↗
30. Multiple lane detection algorithm based on novel dense vanishing point estimation10.1109/TITS.2016.2586187 ↗
31. RSOD: Real-time small object detection algorithm in UAV-based traffic monitoring
32. You only look once: Unified, real-time object detection
33. Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges10.1109/TITS.2020.2972974 ↗
34. Rethinking road surface 3-D reconstruction and pothole detection: From perspective transformation to disparity map segmentation
35. Learning pothole detection in virtual environment
36. R. Fan, “Pothole-600 dataset,” 2021. [Online]. Available: https://sites.google.com/view/pothole-600/dataset?authuser=0.
37. Z. Zhang, “Advanced stereo vision disparity calculation and obstacle analysis for intelligent vehicles,” Ph. D. Dissertation, University of Bristol, 2013.