A Driver Behavior Recognition Method Based on a Driver Model Framework

319 citations recorded by the source corpus.

How researchers see this paper

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

Classiﬁcation of Highway Lane Change Behavior to Detect Dangerous Cut-in Maneuvers (2015, background): “Vehicle state data from driving simulators are often used as training data ( 11 ).”
Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation (2006, background): “Systems that monitor the driver’s state [1], predict driver intent [2], [3], warn drivers of lane departures [4], and/or assist in vehicle guidance [5], [6] are all”
Examining the impact of driving style on the predictability and responsiveness of the driver: Real-world and simulator analysis (2010, background): “A number of other works exist in this field [14], [15], [16], [17]; thus the current line of research may help to inform such behavior prediction schemes and future ADAS designs.”
Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety (2007, methodology): “In many previous approaches, only sensors detecting the vehicles positioning on the road and internal-vehicle sensors monitoring speed and steering were used to predict lane trajectory [31], [32].”