Approaching Rutted Road-Segment Alert using Smartphone
| Autor: | Reem Elkhouly, Asmaa AbdulQawy, Elsayed A. Sallam |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Computer science business.industry 05 social sciences Real-time computing 020206 networking & telecommunications 02 engineering and technology Accelerometer 0502 economics and business 0202 electrical engineering electronic engineering information engineering Global Positioning System Labeled data business Geographic coordinate system |
| Zdroj: | 2018 13th International Conference on Computer Engineering and Systems (ICCES). |
| DOI: | 10.1109/icces.2018.8639363 |
| Popis: | Driving on unfamiliar poorly paved roads is risky even if the vehicle speed is kept under limits. A driver may lose control if his vehicle suddenly comes into road anomalies, especially at night. In developing countries, road anomalies are not only common, but also new ones usually exist without precautions. We present an alerting system that detects and localizes road ruts in order to release a prior-rut notification to the driver using no additional devices but his smartphone. Our system uses crowd-sourcing techniques to collect labeled data from smartphones built-in sensors that describe road ruts. We use this data to feed a machine learning engine to build models that can detect new ruts. Our system localizes identified ruts on the map via GPS coordinates and alerts drivers when they approach a rutted road. Our experiments show that the accuracy of the system can be raised from 59% up to 99% if the learning technique is carefully selected and the sensors data set size is increased to 100000 samples. |
| Databáze: | OpenAIRE |
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