Department of Civil Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada.
Sensors (Basel). 2018 Nov 9;18(11):3845. doi: 10.3390/s18113845.
Road surface monitoring is a key factor to providing smooth and safe road infrastructure to road users. The key to road surface condition monitoring is to detect road surface anomalies, such as potholes, cracks, and bumps, which affect driving comfort and on-road safety. Road surface anomaly detection is a widely studied problem. Recently, smartphone-based sensing has become increasingly popular with the increased amount of available embedded smartphone sensors. Using smartphones to detect road surface anomalies could change the way government agencies monitor and plan for road maintenance. However, current smartphone sensors operate at a low frequency, and undersampled sensor signals cause low detection accuracy. In this study, current approaches for using smartphones for road surface anomaly detection are reviewed and compared. In addition, further opportunities for research using smartphones in road surface anomaly detection are highlighted.
路面监测是为道路使用者提供平稳、安全的道路基础设施的关键因素。路面状况监测的关键在于检测路面异常,如坑洼、裂缝和颠簸,这些异常会影响驾驶舒适性和道路安全。路面异常检测是一个广泛研究的问题。最近,随着嵌入式智能手机传感器数量的增加,基于智能手机的传感技术变得越来越流行。使用智能手机检测路面异常可能会改变政府机构监测和规划道路维护的方式。然而,目前智能手机传感器的工作频率较低,欠采样的传感器信号导致检测精度较低。本研究回顾和比较了目前使用智能手机进行路面异常检测的方法。此外,还强调了在利用智能手机进行路面异常检测方面进一步研究的机会。