Christopher R Hudson 
Christopher R
Hudson
Research Engineer

View Curriculum Vitae

Email
chudson@cavs.msstate.edu

Office
CAVS 2132

Phone
(662) 325-1179

Biography
Christopher R. Hudson is a Research Engineer for the Advanced Vehicle Systems group at the Center for Advanced Vehicular Systems at Mississippi State University. Dr. Hudson earned his B.S. in Computer Science in 2014 from the Department of Mathematics and Computer Science at the University of North Carolina at Pembroke. In 2022 Dr. Hudson earned his Ph.D. from the Department of Computer Science and Engineering at Mississippi State University. Dr. Hudson works on a variety of projects focusing on offroad autonomous systems. This works explores both modeling and simulation combined with real world testing and validation. His dissertation focused on the effects of ecological simulation for ground vehicle mobility forecasting. Dr. Hudson's work extends into Virtual Reality, with a focus on designing interactions in dynamic environments to explore human computer interactions in complex scenarios in a safe and controlled manner. This work involves interactions with and around autonomous systems and immersive training for controlling remote systems.
Research Interest
Research focuses are on the deployment and interaction with unmanned ground systems, and robotic platforms in complex environments. These complex environments include off-road environments with little to no infrastructure, as well as high stress dynamic situations. Interest in this subject includes both modeling and simulation, as well as real world systems. How these systems are deployed, tested, and used under high stress scenarios are particularly of interest. Current efforts towards these interests include modeling and simulation of realistic forested environment for evaluating UGV performance, generating virtual tests standards for military UGVs, and developing virtual greenhouse training environments for precision agriculture. Previous work includes assisting with integration of robotic systems into SWAT operations, and VR training for operating robotic systems.
Selected PublicationsTotal Publications:  16 
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]