Characterizing Driving Styles with Deep Learning

Understand

Characterizing driving styles of human drivers using vehicle sensor data, e.g., GPS, is an interesting research problem and an important real-world requirement from automotive industries.

• A good representation of driving features can be highly valuable for autonomous driving, auto insurance, and many other application scenarios.
• However, traditional methods mainly rely on handcrafted features, which limit machine learning algorithms to achieve a better performance.
• In this paper, we propose a novel deep learning solution to this problem, which could be the first attempt of extending deep learning to driving behavior analysis based on GPS data.