Application of a YOLOv8-Based Monocular Ground-Plane Intersection Method to Pothole Detection.

Yuanbo Zhu, Qing He, Haoran Lin, Xiwang Cui

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

4 authors.

Yuanbo ZhuSchool of Instrumentation Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Shahe Campus, Beijing 100192, China.

Qing HeSchool of Instrumentation Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Shahe Campus, Beijing 100192, China.ORCID 0000-0002-8876-8908

Haoran LinSchool of Instrumentation Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Shahe Campus, Beijing 100192, China.ORCID 0009-0006-0106-5123

Xiwang CuiSchool of Instrumentation Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Shahe Campus, Beijing 100192, China.

Funding

Beijing Natural Science Foundation 7252004National Natural Science Foundation of China 82501457

6 · The paper itself

Abstract

Targeting the problem of road pothole detection and distance estimation under controlled experimental conditions, this paper proposes a method for pothole identification and ranging based on monocular vision and the ground-plane intersection method. The camera is calibrated using Zhang Zhengyou's checkerboard calibration method to obtain its intrinsic and extrinsic parameters along with distortion coefficients. This is combined with the YOLOv8 object detection model to achieve pothole identification. Furthermore, a pothole distance estimation model based on the ground-plane intersection method is constructed. The model is validated through sandbox experiments conducted on a smart-car platform equipped with a Raspberry Pi 5B. Experimental results demonstrate the preliminary feasibility of the proposed method for short-range pothole detection and distance estimation in a controlled sandbox environment, while further validation under more complex real-road conditions is still needed.

Indexed as

ground plane intersection methodintelligent vehiclesmonocular distance estimationroad potholes

Identifiers

PMID42590478

DOI10.3390/s26154701

PMCPMC13468935

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.