Chen, J., Gugssa, M., Yee, J., Goodin, C., & RamDas, A. (2023). Framework for Digital Twin Creation in Off-road Environments from LiDAR Scans. Proc. SPIE 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications. Orlando, FL. DOI:10.1117/12.2663632. [Document Site]
Yu, J., Chen, J., Dabbiru, L., & Goodin, C. (2023). Analysis of LiDAR Configurations on Off-road Semantic Segmentation Performance. Proc. SPIE 12540, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure. Orlando, FL. DOI:10.1117/12.2663098. [Document Site]
Meadows, W. S., Hudson, C. R., Goodin, C., Dabbiru, L., Powell, B., Doude, M., Carruth, D. W., Islam, M., Ball, J. E., & Tang, B. (2019). Multi-LiDAR Placement, Calibration, Co-registration, and Processing on a Subaru Forester for Off-road Autonomous Vehicles Operations. Proceedings Volume 11009, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure 2019. Baltimore, MD. DOI:10.1117/12.2518915. [Abstract] [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.
Monroe, J. G., Doude, M., Haupt, T., Henley, G., Card, A., Mazzola, M., Goodin, C., & Shurin, S. (2017). Thermal Modeling in the Powertrain Analysis and Computational Environment (PACE). 2017 NDIA Ground Vehicle Systems Engineering and Technology Symposium (GVSETS). Detroit, MI. [Abstract] [Document Site]
Davis, J., Bednar, A., Goodin, C., Durst, P., Anderson, D., & Bethel, C. L. (2017). Optimizing Maximally Stable Extremal Region Parameters Using Machine Learning. SPIE Defense + Commercial Sensing Expo - Infrared Technology and Applications XLIII Track. Anaheim, CA: SPIE. [Abstract]