A Pattern-Recognition Approach for Driving Skill Characterization

By Yilu Zhang, William C. Lin, Yuen-Kwok Steve Chin. 2010

115 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Gediminas Zylius
2. Paulius Lengvenis
3. Vygandas Vaitkus
4. Marta C. González

In Control and Systems Engineering

1. Gediminas Zylius
2. Paulius Lengvenis
3. Vygandas Vaitkus

Citations in the corpus

• A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, neutral): “[242] 3 NN, SVM, DT expert/typical/low-skill”
• Safe Driving Using Mobile Phones (2012, background): “Zhang et al. presented a pattern recognition approach to characterize drivers based on their skill level [17].”
• Data-Driven Intelligent Transportation Systems: A Survey (2011, unknown): “[126] collected data from”
• Driving style classification using long-term accelerometer information (2014, methodology): “Pattern recognition approach is taken in Y. Zhang et al. [6] research study.”