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RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management

Published: 10 January 2022 Publication History

Abstract

With the rapid development of intelligent detection algorithms based on deep learning, much progress has been made in automatic road defect recognition and road marking parsing. This can effectively address the issue of an expensive and time-consuming process for professional inspectors to review the street manually. Towards this goal, we present RoadAtlas, a novel end-to-end integrated system that can support 1) road defect detection, 2) road marking parsing, 3) a web-based dashboard for presenting and inputting data by users, and 4) a backend containing a well-structured database and developed APIs.

Supplementary Material

Presentation slides (RoadAtals_Demonstration_Slides.pptx)

References

[1]
Xinyu Huang, Peng Wang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, and Ruigang Yang. 2020. The ApolloScape Open Dataset for Autonomous Driving and Its Application. IEEE Trans. Pattern Anal. Mach. Intell. 42, 10 (2020), 2702–2719.
[2]
Glenn Jocher. 2020. ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements. https://doi.org/10.5281/zenodo.4154370
[3]
Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5 - 9, 2015, Proceedings, Part III(Lecture Notes in Computer Science, Vol. 9351), Nassir Navab, Joachim Hornegger, William M. Wells III, and Alejandro F. Frangi (Eds.). Springer, 234–241. https://doi.org/10.1007/978-3-319-24574-4_28
[4]
understand ai. 2019. understand.ai Anonymizer. https://github.com/understand-ai/anonymizer.
[5]
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia. 2017. Pyramid Scene Parsing Network. In 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017. IEEE Computer Society, 6230–6239.

Cited By

View all
  • (2024)DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object DetectionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681040(4138-4147)Online publication date: 28-Oct-2024
  • (2024)Pavement Defect Detection With Deep Learning: A Comprehensive SurveyIEEE Transactions on Intelligent Vehicles10.1109/TIV.2023.33261369:3(4292-4311)Online publication date: Mar-2024
  • (2023)Open-RoadAtlas: Leveraging VLMs for Road Condition Survey with Real-Time Mobile AuditingProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3612668(9374-9375)Online publication date: 26-Oct-2023

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      Published In

      cover image ACM Conferences
      MMAsia '21: Proceedings of the 3rd ACM International Conference on Multimedia in Asia
      December 2021
      508 pages
      ISBN:9781450386074
      DOI:10.1145/3469877
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 10 January 2022

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      Author Tags

      1. object detection
      2. road defect
      3. road marking
      4. semantic segmentation

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      • Demonstration
      • Research
      • Refereed limited

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      MMAsia '21
      Sponsor:
      MMAsia '21: ACM Multimedia Asia
      December 1 - 3, 2021
      Gold Coast, Australia

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      Overall Acceptance Rate 59 of 204 submissions, 29%

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      Cited By

      View all
      • (2024)DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object DetectionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681040(4138-4147)Online publication date: 28-Oct-2024
      • (2024)Pavement Defect Detection With Deep Learning: A Comprehensive SurveyIEEE Transactions on Intelligent Vehicles10.1109/TIV.2023.33261369:3(4292-4311)Online publication date: Mar-2024
      • (2023)Open-RoadAtlas: Leveraging VLMs for Road Condition Survey with Real-Time Mobile AuditingProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3612668(9374-9375)Online publication date: 26-Oct-2023

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