Daniel W. Carruth 
Daniel W.
Carruth
Associate Director

View Curriculum Vitae

Email
dwc2@cavs.msstate.edu

Office
CAVS 2133

Phone
(662) 325-5446

Biography
Daniel Carruth is Associate Director for Advanced Vehicle Systems at the Center for Advanced Vehicular Systems and an Associate Research Professor at Mississippi State University. Dr. Carruth earned his B.S. in Computer Science and Engineering in 2001 and his Ph.D. from the Department of Psychology at Mississippi State University in 2008. Dr. Carruth contributes to NATO Applied Vehicle Technology Panel research task groups (AVT-327 and AVT-341) focused on modeling and simulation of military ground vehicles. He is a member of SAE and ASAM. He has published over 100 conference proceedings and articles in journals such as Sensors, Electronics, Transportation Safety & Security, International Journal of Social Robotics, and International Journal of Industrial Ergonomics. He has received over $15 million in funding from agencies such as DoD, USDA, NIJ, BJA, and others. Dr. Carruth oversees a number of projects in the CAVS Driving Simulation Lab, Human Performance Lab, and Robotics testbed.
Research Interest
Dr. Carruth's research interests include modeling and simulation of autonomous ground vehicles in military off-road environments, human interaction with autonomous vehicles, use of UGVs by military and law enforcement, as well as physical and cognitive aspects of human task performance in law enforcement, military, and industrial work. He has active projects generating virtual environments and test standards for military off-road autonomous vehicles, building off-road autonomous vehicle platforms for real-world testing, and developing virtual greenhouses for training undergraduate students in electronic control systems for precision agriculture.
Selected PublicationsTotal Publications:  118 
Goodin, C., Carrillo, J. T., Monroe, J. G., Carruth, D. W., & Hudson, C. R. (2021). An Analytic Model for Negative Obstacle Detection with Lidar and Numerical Validation Using Physics-Based Simulation. sensors. MDPI. 21(9), 3211. DOI:10.3390/s21093211. [Abstract] [Document] [Document Site]

Goodin, C., Sharma, S., Doude, M., Carruth, D. W., Dabbiru, L., & Hudson, C. R. (2019). Training of Neural Networks with Automated Labeling of Simulated Sensor Data. SAE Technical Paper 2019-01-0120. Detroit, MI. DOI:10.4271/2019-01-0120. [Abstract] [Document Site]

Goodin, C., Carruth, D. W., Doude, M., & Hudson, C. R. (2019). Predicting the Influence of Rain on LIDAR in ADAS. Electronics. MDPI. 8(1), 89. DOI:10.3390/electronics8010089. [Abstract] [Document] [Document Site]

Hudson, C. R., Goodin, C., Doude, M., & Carruth, D. W. (2018). Analysis of Dual LIDAR Placement for Off-Road Autonomy Using MAVS. 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA). KoŇ°ice, Slovakia: IEEE. DOI:10.1111/soin.12230. [Abstract] [Document Site]

Goodin, C., Doude, M., Hudson, C. R., & Carruth, D. W. (2018). Enabling Off-Road Autonomous Navigation-Simulation of LIDAR in Dense Vegetation. Electronics. MDPI. 7(9), 154. DOI:10.3390/electronics7090154. [Abstract] [Document] [Document Site]