A Review on: A Novel Approach to Detect and Identify the Abnormal Driving Behavior
- Author Deepika Chawla
- Co-Author Ashok Kumar Bathla
- DOI
- Country : India
- Subject : Computer Engineering
Keywords : KNN, NN, Driver behavior, Smartphone etc
Abstract
Driving behavior analysis is also a popular direction of Smartphone-based vehicular applications. However, existing works on driving behaviors detection using dataset camera videos can only provide a coarse-grained result using thresholds, i.e. distinguishing abnormal driving behaviors from normal ones. Since thresholds may be affected by car type and sensors’ sensitivity, they cannot accurately distinguish the differences in various driving behavioral patterns. The fine-grained abnormal driving behaviors monitoring is able to improve drivers’ awareness of their driving habits as most of the drivers are over-confident and not aware of their reckless driving habits. There are many problems; the first problem is the new and challenging real-world Problem raised from the auto insurance industry, called driver number estimation and the second problem is the classical driver identification problem, measured by the classification accuracy on unseen …trips of seen drivers. These problems are resolved with KNN, Hidden Markov Model and NN for Abnormal Driving Behaviors Detection and Identification. The work is implemented on Smartphones with MATLAB Smart app in MATLAB toolbox.
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