Infrastructure-Guided Connectivity-Enhanced Road Crack Detection and Estimation
Haosong Xiao, Yamini Ramesh, Rishabh Shukla, Swarat Sarkar, Chaozhe R. He
TLDR
This paper introduces the first infrastructure-guided, communication-enhanced road crack detection system for passenger vehicles, improving detection performance.
Key contributions
- Developed the first infrastructure-guided, communication-enhanced road crack detection pipeline.
- Designed a custom communication protocol for transmitting regions of interest from infrastructure to vehicles.
- Utilized dynamic cropping and frame selection for focused image processing before crack detection.
Why it matters
This paper introduces a novel approach to road crack detection by integrating infrastructure communication with in-vehicle systems. This could significantly enhance road maintenance efficiency and safety by providing real-time, accurate crack data.
Original Abstract
In this paper, we report the world's first infrastructure-guided communication-enhanced road crack detection pipeline that is effective and implementable on passenger vehicles. We first design a customized communication protocol to transmit the region of interest from the infrastructure to the vehicle. With proper camera image processing (e.g., dynamic cropping and frame selection), the focused images are provided to the crack detection model. Leveraging state-of-the-art crack detection model backbones and a carefully prepared dataset comprising a forward-facing view with a crack, we train the model to improve crack-detection performance. We demonstrate the full detection pipeline on an experimental vehicle platform, showcase the detection effectiveness, and project future research directions.
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