Online driving style recognition using fuzzy logic

By Dominik Dörr, David Grabengiesser, F. Gauterin. 2014

112 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. Jacob Lambert
2. Alexander Carballo
3. Ekim Yurtsever
4. Kazuya Takeda
5. Bo Gao
6. Dongpu Cao

In Control and Systems Engineering

1. Kazuya Takeda
2. Alexander Carballo
3. Fei-yue Wang
4. Ekim Yurtsever
5. Jacob Lambert

Citations in the corpus

• A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “In [229]–[231] driving style was categorized into three and into two in [74], [209], [217], [218], [222].”
• Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey (2018, methodology): “The division into three classes includes aggressive, mild and moderate styles, as defined by Xu et al. [45], soft, normal and aggressive by Syed et al. [15] or comfortable, normal and sporty as described by Dörr et al. [38].”