Directory at the HPC²
Email
dwc2@cavs.msstate.edu
Office
CAVS 2133
Phone
(662) 325-5446
PO Box 5405
Mississippi State, MS 39762
dwc2@cavs.msstate.edu
Office
CAVS 2133
Phone
(662) 325-5446
PO Box 5405
Mississippi State, MS 39762
Email
dwc2@cavs.msstate.edu
Office
CAVS 2133
Phone
(662) 325-5446
PO Box 5405
Mississippi State, MS 39762
dwc2@cavs.msstate.edu
Office
CAVS 2133
Phone
(662) 325-5446
PO Box 5405
Mississippi State, MS 39762
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 co-chairs a NATO Applied Vehicle Technology Panel research task group (AVT-408) and previously contributed to the AVT-327 and AVT-341 groups focused on modeling and simulation of autonomous military ground vehicles. He is also leading an investigation of standards for modeling and simulation of off-road vehicles for ASAM. He has published over 150 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 $25 million in funding from agencies such as DoD, USDA, NIJ, BJA, and others. Dr. Carruth oversees projects in the CAVS DRIVE Lab, Collaborative Lab, and the Electronics and Sensors Lab.
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 and building off-road autonomous vehicle platforms for real-world testing.
Hobbies
Dr. Carruth enjoys the outdoors and hiking trails at parks in Mississippi.
Selected Publications
Total Publications: 141
Rader, N. E., Heath, C., May, David C., Gaddy, C., Hudson, C. R., & Carruth, D. W. (2024). A Qualitative Examination of Precautionary Measures in a Virtual Reality Fear Environment. American Journal of Criminal Justice. Springer. Online, 1-23. DOI:https://doi.org/10.1007/s12103-024-09770-y. [Abstract] [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). Košice, 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]
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). Košice, 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]
