Estimating driving behavior by a smartphone

By H. Eren, Semiha Makinist, E. Akın, Alper Yilmaz. IEEE Intelligent Vehicles Symposium, 2012

295 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Automotive Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/d2a0e9483c66376d776b540c2a6e2b11ee208364

How researchers see this paper

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

In Artificial Intelligence

1. Thomas Engel
2. John H. L. Hansen
3. Carlos Busso
4. German Castignani
5. Thierry Derrmann
6. Raphaël Frank

In Automotive Engineering

1. Thomas Engel
2. German Castignani
3. Thierry Derrmann
4. Raphaël Frank

In Computer Vision and Pattern Recognition

1. Thomas Engel
2. John H. L. Hansen
3. Carlos Busso

Citations in the corpus

• Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring (2015, background): “A potential market is car insurance, which has been interested in monitoring driving activities in order to provide fair insurance premiums to its customers.”
• Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed (2017, background): “This option allows a wider range of naturalistic driving study opportunities for drivers operating their own vehicles [82]–[84].”