Directory at the HPC²
Biography
Christopher T. Goodin received his B.S. in mathematics and physics from Mississippi College in 2004, and M.S. and Ph.D. in physics from Vanderbilt University in 2006 and 2008, respectively. From 2008-2017, he worked with the U.S. Army Engineer Research and Development Center (ERDC) in Vicksburg, MS. Since 2017, Dr. Goodin has been a research faculty with the Center for Advanced Vehicular Systems, Mississippi State University.
Research Interest
Simulation of autonomous ground vehicles.
Ray-tracing / rendering.
Lidar simulation.
Surface roughness theory and applications.
Ray-tracing / rendering.
Lidar simulation.
Surface roughness theory and applications.
Hobbies
Music, guitar, reading, taekwondo.
Selected Publications
Total Publications: 22
Goodin, C., Moore, M., Carruth, D. W., Aspin, Z., & Kaniarz, J. (2024). Geometric Fidelity Requirements for Meshes in Automotive Lidar Simulation. Virtual Worlds. MDPI. 3(3), 270-282. DOI:10.3390/virtualworlds3030014. [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]
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]
Durst, P. J., Goodin, C., Anderson, D., & Bethel, C. L. (2017). A Reference Autonomous Mobility Model. 50th Winter Simulation Conference (WSC 2017). Las Vegas, NV.
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]
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]
Durst, P. J., Goodin, C., Anderson, D., & Bethel, C. L. (2017). A Reference Autonomous Mobility Model. 50th Winter Simulation Conference (WSC 2017). Las Vegas, NV.
