TY - GEN
T1 - Infrastructure-Guided Connectivity-Enhanced Road Crack Detection and Estimation
AU - Xiao, Haosong
AU - Ramesh, Yamini
AU - Shukla, Rishabh
AU - Sarkar, Swarat
AU - He, Chaozhe R.
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - 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.
AB - 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.
KW - Connected vehicles
KW - Smart infrastructure
KW - Vehicle Environment Perception
UR - https://www.scopus.com/pages/publications/105041644897
U2 - 10.1109/MOST69733.2026.00029
DO - 10.1109/MOST69733.2026.00029
M3 - Conference contribution
AN - SCOPUS:105041644897
T3 - Proceedings - 2026 IEEE 4th International Conference on Mobility, Operations, Services and Technologies, MOST 2026
SP - 193
EP - 202
BT - Proceedings - 2026 IEEE 4th International Conference on Mobility, Operations, Services and Technologies, MOST 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Mobility, Operations, Services and Technologies, MOST 2026
Y2 - 4 May 2026 through 6 May 2026
ER -