Proceedings ArticleDOI
Modeling IoT Enabled Automotive System for Accident Detection and Classification
Nikhil Kumar,Anurag Barthwal,Divya Lohani,Debopam Acharya +3 more
- pp 1-6
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TLDR
An IoT based system has been developed in this work to report the occurrence, location as well as the type of road accident, which uses Naïve Bayes classifier for classification.Abstract:
Millions of people get injured, disabled or die in automotive accidents each year. Knowledge about the type of road accident is invaluable to the emergency medical services providers for optimal planning and execution of the rescue operation. An IoT based system has been developed in this work to report the occurrence, location as well as the type of road accident. The system uses in-built sensors of passenger smartphone to detect and classify the accident as head-on collision, rollover or fall-off. The accuracy of the proposed system, which uses Naive Bayes classifier for classification, has been evaluated using precision, recall, F1 score and ROC curve.read more
Citations
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Journal ArticleDOI
An IoT-Based Vehicle Accident Detection and Classification System Using Sensor Fusion
TL;DR: This work presents an IoT-based automotive accident detection and classification (ADC) system, which uses the fusion of smartphone’s built-in and connected sensors not only to detect but also to report the type of accident.
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Anomalies Detection Through Smartphone Sensors: A Review
TL;DR: In this article, the authors proposed a short survey on the use of smartphone sensors in the detection of various kinds of anomalies in several fields namely environment, agriculture, healthcare and road/traffic conditions.
Proceedings ArticleDOI
Modeling IoT Enabled Classification System for Road Surface Monitoring
TL;DR: Using mobile sensing, this study aims to collect and monitor the road surface conditions in the city of Dehradun, Uttarakhand, India and the collected data has been analyzed using the Artificial Neural Network technique, demonstrating the algorithm's effectiveness in detectingRoad surface conditions.
Proceedings ArticleDOI
Modeling IoT Enabled Classification System for Road Surface Monitoring
TL;DR: In this article , the authors collected and monitored road surface conditions in the city of Dehradun, Uttarakhand, India using mobile sensing, and analyzed the collected data using the Artificial Neural Network technique.
Journal ArticleDOI
Vehicle accident sub-classification modeling using stacked generalization: A multisensor fusion approach
TL;DR: In this article , an Android smartphone-based end-to-end Internet of Things (IoT) system that can transmit accident information to emergency services and affected families once a vehicle accident is detected.
References
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