Driving style classification using long-term accelerometer information

By Vygandas Vaitkus, Paulius Lengvenis, Gediminas Zylius. 2014

121 citations recorded by the source corpus.

Subfields: Automotive Engineering, Computer Vision and Pattern Recognition

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. Bo Gao
2. Dongpu Cao

In Computer Vision and Pattern Recognition

1. Fei-yue Wang
2. Dongpu Cao

Citations in the corpus

• A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, neutral): “aggressiveness [217]–[221] or fuel consumption [222]–[226].”
• Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey (2018, methodology): “Nevertheless, these results needed to be evaluated based on the characteristics of the training and testing data which proceeded from the same route, season and analogous traffic conditions [43].”