ACCELEROMETER BASED ROAD DEFECTS IDENTIFICATION SYSTEM

High precision accelerometers are now widely available thanks to the development of the MEMS technology. Especially embedded in smartphones and tablets, they became part of our daily life increasing the usability of our mobile electronic devices. Road defects assessment using 3D accelerometers is one of the great problems that can be tackled by employing large numbers of accelerometers mounted on vehicles. This paper proposes an architecture for an accelerometer based road defects identification system. The mathematical approach for road defect identification and the data aggregation methods are also discussed.

[1]  Christian Koch,et al.  Improving Pothole Recognition through Vision Tracking for Automated Pavement Assessment , 2011 .

[2]  Abhinav Jha,et al.  Road condition monitoring and alert application: Using in-vehicle Smartphone as Internet-connected sensor , 2012, 2012 IEEE International Conference on Pervasive Computing and Communications Workshops.

[3]  C R Bennett.  Establishing reference transverse profiles for rut depth measurements in New Zealand , 2002 .

[4]  Yang Xiao,et al.  Handbook on Sensor Networks , 2010 .

[5]  Dan Popescu,et al.  A mobile sensor network based road surface monitoring system , 2013, 2013 17th International Conference on System Theory, Control and Computing (ICSTCC).

[6]  Stephane Beauregard,et al.  A Helmet-Mounted Pedestrian Dead Reckoning System , 2006 .

[7]  Chamath Keppitiyagama,et al.  A public transport system based sensor network for road surface condition monitoring , 2007, NSDR '07.

[8]  Ryan Newton,et al.  The pothole patrol: using a mobile sensor network for road surface monitoring , 2008, MobiSys '08.

[9]  Umberto Spagnolini,et al.  Wireless sensor networks for traffic management and road safety , 2012 .

[10]  Richard R. Brooks.  Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems , 2008 .

[11]  Tim Wark,et al.  A Wireless Sensor Network for Real-Time Indoor Localisation and Motion Monitoring , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

[12]  Toru Yamaguchi,et al.  Motion recognition using 3D accelerometer sensor network for Mobility Assistant Robot , 2012, 2012 IEEE International Conference on Fuzzy Systems.