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The Pothole Patrol. Using a Mobile Sensor Network for Road Surface Monitoring http://nms.csail.mit.edu/papers/p2-mobisys-2008.pdf. Timothy Werner. Problem . Potholes are everywhere Hard to find Car damage Lawsuits against the state Insurance claims. Solution. Pothole Patrol ( )
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The Pothole Patrol Using a Mobile Sensor Network forRoad Surface Monitoring http://nms.csail.mit.edu/papers/p2-mobisys-2008.pdf Timothy Werner
Problem • Potholes are everywhere • Hard to find • Car damage • Lawsuits against the state • Insurance claims
Solution • Pothole Patrol () • Uses GPS and motion sensors • Deployable on existing vehicles • Taxis, garbage trucks, etc.
Test Deployment • Attached to seven taxis in Boston for 10 days • Covered nearly 2500 distinct kilometers • Nearly 10000km total
Test Deployment - Accelerometer Placement • Attached to car’s dashboard (glove compartment) • Accurate • Unobtrusive
Test Deployment – Training Data • Trained for type of anomaly • Crosswalks and Expansion Joint • Railroad Crossing • Pothole • Manhole • Stopping • Turning
Pothole Detection Algorithm • Speed • High-pass • z-peak • xz-ratio • Speed vs z ratio
Pothole Detection Algorithm • Blacklisting • Speed bumps • Bridges • Etc • False Negatives – absence of reports does not mean a smooth road • Drivers naturally try to avoid pot holes • Roads are wide
Evaluation • Tested on three data sets • Carefully labeled data • Loosely labeled data • The taxis driving around Boston
Evaluation - Goals • Detect a low number of anomalies on smooth roads • Missing potholes is okay
Evaluation • Classification accuracy on hand-labeled data • Performance improvement using loosely labeled training data • Performance on loosely labeled roads • Spot-checks on uncontrolled data