Results 11 to 20 of about 579,763 (278)

Who is behind the wheel? Driver identification and fingerprinting [PDF]

open access: yesJournal of Big Data, 2018
In the last decade, significant advances have been made in sensing and communication technologies. Such progress led to a considerable growth in the development and use of intelligent transportation systems. Characterizing driving styles of drivers using
Saad Ezzini   +2 more
doaj   +3 more sources

Intelligent mobility control of a hybrid electric off-road vehicle with individual wheel control [PDF]

open access: yes, 2003
This work focuses on the potential benefits that can be gained from the use of Individual Wheel Control on a large off-road vehicle. The vehicle concerned is a theoretical, six-wheel drive, off-road Hybrid-Electric Vehicle based on an existing ...
Jackson, Andrew Edward
core   +7 more sources

Driver Fatigue and the Vehicle Control Interface during long distance rallies [PDF]

open access: yes, 2011
It is assumed that the interaction between a vehicle and its driver alters as that driver becomes fatigued. Using long distance rally driving as its context, this study based upon the analysis of in-car video recordings, investigates the changes in ...
Barker, Peter
core   +5 more sources

The role of the scale and the frequency bandwidth of steering wheel vibration on road surface recognition [PDF]

open access: yes, 2006
Automobile drivers are regularly exposed to vibrational stimuli in their vehicle. Of the automobile subsystems, the steering wheel is one of the most important due to its role in controlling the vehicle.
Giacomin, J, Woo, Y J
core   +6 more sources

ANGELS - Smart Steering Wheel for Driver Safety

open access: yes2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI), 2023
The automotive industry increasingly recognizes the importance of human-machine interaction in enhancing the driving experience and improving driver safety. Human factors, such as drowsiness and attention deficits, play a primary role in safe driving. There are several research and commercial solutions to address these issues.
Amidei, Andrea   +5 more
openaire   +1 more source

Driver–Steering Wheel Interaction during Cornering

open access: yesSAE International Journal of Vehicle Dynamics, Stability, and NVH
<div>This research aims at understanding how the driver interacts with the steering wheel, in order to detect driving strategies. Such driving strategies will allow in the future to derive accurate holistic driver models for enhancing both safety and comfort of vehicles.</div>
Giorgio Previati   +2 more
openaire   +2 more sources

No Driver behind the Wheel? Targeting Transcription in Cancer [PDF]

open access: yesCell, 2015
Exploiting the dependence of cancer cells on transcription can be used as an effective strategy for targeting aggressive and therapeutically recalcitrant tumors. Wang et al. show that inhibiting transcription using THZ1, a small-molecule inhibitor of cyclin-dependent kinase CDK7, induces apoptotic cell death in triple-negative breast cancers.
Franco, Hector L., Kraus, W. Lee
openaire   +2 more sources

Proposed automobile steering wheel test method for vibration [PDF]

open access: yes, 2010
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This thesis proposes a test method for evaluating the perceived vibration which occurs at the driver's hand in automotive steering wheel interface.
Jeon, Byung Ho
core   +7 more sources

Juvenile myelomonocytic leukemia: who’s the driver at the wheel? [PDF]

open access: yesBlood, 2019
Abstract Juvenile myelomonocytic leukemia (JMML) is a unique clonal hematopoietic disorder of early childhood. It is classified as an overlap myeloproliferative/myelodysplastic neoplasm by the World Health Organization and shares some features with chronic myelomonocytic leukemia in adults.
Niemeyer, Charlotte M.   +1 more
openaire   +3 more sources

Hands on the wheel: A Dataset for Driver Hand Detection and Tracking [PDF]

open access: yes2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), 2018
The ability to detect, localize and track the hands is crucial in many applications requiring the understanding of the person behavior, attitude and interactions. In particular, this is true for the automotive context, in which hand analysis allows to predict preparatory movements for maneuvers or to investigate the driver's attention level.
Guido Borghi   +3 more
openaire   +1 more source

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