Driver driving style plays an important role in vehicle energy management as well as driving safety. Furthermore, it is key for advance driver assistance systems development, toward increasing levels of vehicle automation. This fact has motivated numerous research and development efforts on driving style identification and classification. This paper provides a survey on driving style characterization and recognition revising a variety of algorithms, with particular emphasis on machine learning approaches based on current and future trends. Applications of driving style recognition to intelligent vehicle controls are also briefly discussed, including experts’ predictions of the future development.
Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey
Clara Marina Martinez,Mira Heucke,Fei-yue Wang,Bo Gao,Dongpu Cao
Published 2018 in IEEE transactions on intelligent transportation systems (Print)
ABSTRACT
PUBLICATION RECORD
- Publication year
2018
- Venue
IEEE transactions on intelligent transportation systems (Print)
- Publication date
2018-03-01
- Fields of study
Computer Science, Engineering
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-62 of 62 references · Page 1 of 1