TY - GEN
T1 - Design of Multi-Sensor Array Payload for UAV Bridge Concrete Surface Crack Detection
AU - Chen, Aobei
AU - Zheng, Dezhi
AU - Yang, Huaizhi
AU - Li, Dapeng
AU - Hou, Rigen
AU - Liu, Hongrun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Bridges with concrete structures are prone to phenomena such as cracking, which poses a significant threat to railway operational safety. Currently, unmanned aerial vehicles (UAV) has been employed for bridge health monitoring. However, the existing UAV payloads are not specifically designed for bridge inspection and encounter several issues during operation. In light of this, this paper proposes a low-power, omni-directional vision payload specifically designed for bridge inspection. The payload is equipped with four cameras, a laser rangefinder, a millimeter-wave radar, an RTK (Real-Time Kinematic), inertial navigation system, and a high-performance computing platform. It enables real-time acquisition, detection, and annotation of crack information on the sides and underside of bridges, while offering an extended flight time. Moreover, experimental results have demonstrated that the payload can discern targets with a width of 0.19 mm at a distance of 20 m from the bridge.
AB - Bridges with concrete structures are prone to phenomena such as cracking, which poses a significant threat to railway operational safety. Currently, unmanned aerial vehicles (UAV) has been employed for bridge health monitoring. However, the existing UAV payloads are not specifically designed for bridge inspection and encounter several issues during operation. In light of this, this paper proposes a low-power, omni-directional vision payload specifically designed for bridge inspection. The payload is equipped with four cameras, a laser rangefinder, a millimeter-wave radar, an RTK (Real-Time Kinematic), inertial navigation system, and a high-performance computing platform. It enables real-time acquisition, detection, and annotation of crack information on the sides and underside of bridges, while offering an extended flight time. Moreover, experimental results have demonstrated that the payload can discern targets with a width of 0.19 mm at a distance of 20 m from the bridge.
KW - UAV payload
KW - bridge detection
KW - multi-sensor array
UR - https://www.scopus.com/pages/publications/85174894313
U2 - 10.1109/ICEMI59194.2023.10269930
DO - 10.1109/ICEMI59194.2023.10269930
M3 - Conference contribution
AN - SCOPUS:85174894313
T3 - Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023
SP - 24
EP - 29
BT - Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023
A2 - Wu, Juan
A2 - Yin, Jiali
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023
Y2 - 9 August 2023 through 11 August 2023
ER -