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Straight-driving, cornering, comfort and steering behavior have been quantitatively evaluated by 7 different expert drivers.
To detect driver′s lane change intention, the steering behavior index has been developed incorporating vehicle speed and road curvature.
A person feeds in data, which is collected by an algorithm that then presents the user with choices, thus steering behavior.
This paper presents a phenomenological characterization of the steering behavior of pre-curved needles, which have tip asymmetry due to curvature of the needle near the tip.
Fear learning in stressful situations is highly adaptive for survival by steering behavior in subsequent situations, but fear learning can become disproportionate in vulnerable individuals.
As the driver is still part of the control loop a driver model is required to predict the steering behavior of the actual driver.
Similar(33)
Results revealed steering behaviors improvements with LDWS.
Steering user behavior with badges.
Steering User Behavior with Badges.
Steering User Behavior With Badges. A. Anderson, D. Huttenlocher, J. Kleinberg, J. Leskovec.
Steering User Behavior With Badges, Ashton Anderson, Dan Huttenlocher, Jon Kleinberg, and Jure Leskovec, WWW 2013.
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