About this document
A Machine Learning Framework For Automated Acciden by sawairatanoli123 is a document available to read on EtoBox.
This document presents a machine learning framework for automated accident detection using multimodal in-car sensors, addressing the limitations of previous methods that relied on traffic data or external sensors. The study evaluates various feature extraction techniques and finds that CNN features with an SVM classifier yield the best results, while also demonstrating the potential for combining feature engineering and learning approaches. The research highlights the importance of using readily available i
- Author
- sawairatanoli123
- Language
- EN