Proceedings ArticleDOI
The pothole patrol: using a mobile sensor network for road surface monitoring
Jakob Eriksson,Lewis Girod,Bret Hull,Ryan R. Newton,Samuel Madden,Hari Balakrishnan +5 more
- pp 29-39
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This paper describes a system and associated algorithms to monitor this important civil infrastructure using a collection of sensor-equipped vehicles, which they call the Pothole Patrol (P2), which uses the inherent mobility of the participating vehicles, opportunistically gathering data from vibration and GPS sensors, and processing the data to assess road surface conditions.Abstract:
This paper investigates an application of mobile sensing: detecting and reporting the surface conditions of roads. We describe a system and associated algorithms to monitor this important civil infrastructure using a collection of sensor-equipped vehicles. This system, which we call the Pothole Patrol (P2), uses the inherent mobility of the participating vehicles, opportunistically gathering data from vibration and GPS sensors, and processing the data to assess road surface conditions. We have deployed P2 on 7 taxis running in the Boston area. Using a simple machine-learning approach, we show that we are able to identify potholes and other severe road surface anomalies from accelerometer data. Via careful selection of training data and signal features, we have been able to build a detector that misidentifies good road segments as having potholes less than 0.2% of the time. We evaluate our system on data from thousands of kilometers of taxi drives, and show that it can successfully detect a number of real potholes in and around the Boston area. After clustering to further reduce spurious detections, manual inspection of reported potholes shows that over 90% contain road anomalies in need of repair.read more
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Proceedings ArticleDOI
Nericell: rich monitoring of road and traffic conditions using mobile smartphones
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Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm
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Energy-efficient rate-adaptive GPS-based positioning for smartphones
TL;DR: RAPS is presented, rate-adaptive positioning system for smartphone applications, based on the observation that GPS is generally less accurate in urban areas, so it suffices to turn on GPS only as often as necessary to achieve this accuracy.
Proceedings ArticleDOI
Micro-Blog: sharing and querying content through mobile phones and social participation
TL;DR: New kinds of application-driven challenges are identified and addressed in the context of this system, called Micro-Blog, which was implemented on Nokia N95 mobile phones and distributed to volunteers for real life use.
Proceedings ArticleDOI
Real time pothole detection using Android smartphones with accelerometers
TL;DR: The paper is describing a mobile sensing system for road irregularity detection using Android OS based smart-phones and selected data processing algorithms are discussed and their evaluation presented with true positive rate as high as 90% using real world data.
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Omprakash Gnawali,Ki-Young Jang,Jeongyeup Paek,Marcos A. M. Vieira,Vinayak S Naik,Karen Chandler,Deborah Estrin,Ramesh Govindan,Edward Kohler +8 more
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