Chris Werner Schwarz
Chris Werner Schwarz
The University of Iowa Driving Safety Research Institute
Verified email at - Homepage
Cited by
Cited by
Steering in a random forest: Ensemble learning for detecting drowsiness-related lane departures
AD McDonald, JD Lee, C Schwarz, TL Brown
Human factors 56 (5), 986-998, 2014
Real-time detection of drowsiness related lane departures using steering wheel angle
AD McDonald, C Schwarz, JD Lee, TL Brown
Proceedings of the human factors and ergonomics society annual meeting 56 (1 …, 2012
A contextual and temporal algorithm for driver drowsiness detection
AD McDonald, JD Lee, C Schwarz, TL Brown
Accident Analysis & Prevention 113, 25-37, 2018
The detection of drowsiness using a driver monitoring system
C Schwarz, J Gaspar, T Miller, R Yousefian
Traffic injury prevention 20 (sup1), S157-S161, 2019
Distraction detection and mitigation through driver feedback
JD Lee, J Moeckli, TL Brown, SC Roberts, C Schwarz, L Yekhshatyan, ...
Evaluating driver drowsiness countermeasures
JG Gaspar, TL Brown, CW Schwarz, JD Lee, J Kang, JS Higgins
Traffic injury prevention 18 (sup1), S58-S63, 2017
Creating pedestrian crash scenarios in a driving simulator environment
ST Chrysler, O Ahmad, CW Schwarz
Traffic injury prevention 16 (sup1), S12-S17, 2015
Review of automated vehicle technology: Policy and implementation implications.
DV McGehee, M Brewer, C Schwarz, BW Smith
Iowa. Dept. of Transportation, 2016
The role of digital twins in connected and automated vehicles
C Schwarz, Z Wang
IEEE Intelligent Transportation Systems Magazine 14 (6), 41-51, 2022
The effect of reliability on drivers’ trust and behavior in conditional automation
C Schwarz, J Gaspar, T Brown
Cognition, Technology & Work 21, 41-54, 2019
On computing time-to-collision for automation scenarios
C Schwarz
Transportation research part F: traffic psychology and behaviour 27, 283-294, 2014
Motion Characteristics of the national advanced driving simulator
C Schwarz, T Gates, Y Papelis
Proceedings of the driving simulation conference, 2003
Towards autonomous vehicles
C Schwarz, G Thomas, K Nelson, M McCrary, N Sclarmann, M Powell
Mid-America Transportation Center, 2013
Detection of driver distraction using vision-based algorithms
J Lee, J Moeckli, T Brown, S Roberts, T Victor, D Marshall, C Schwarz, ...
Proc. 23rd Enhanced Safety Veh. Conf, 2013
Assessing the feasibility of vehicle-based sensors to detect drowsy driving
T Brown, J Lee, C Schwarz, D Fiorentino, A McDonald
Two mitigation strategies for motion system limits in driving and flight simulators
CW Schwarz
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2007
Steer or brake?: Modeling drivers’ collision-avoidance behavior by using perceptual cues
V Venkatraman, JD Lee, CW Schwarz
Transportation research record 2602 (1), 97-103, 2016
NADS-Net: a nimble architecture for driver and seat belt detection via convolutional neural networks
S Chun, N Hamidi Ghalehjegh, J Choi, C Schwarz, J Gaspar, D McGehee, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Gaze position modulates the effectiveness of forward collision warnings for drowsy drivers
JG Gaspar, CW Schwarz, TL Brown, J Kang
Accident Analysis & Prevention 126, 25-30, 2019
The detection of visual distraction using vehicle and driver-based sensors
C Schwarz, T Brown, J Lee, J Gaspar, J Kang
SAE Technical Paper, 2016
The system can't perform the operation now. Try again later.
Articles 1–20