Virtual and Augmented Reality Research and Related Publications

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Hudson, C. R., Deb, S., Carruth, D. W., Frey, D., & McGinley, J. (2018). Pedestrian Perception of Autonomous Vehicles with External Interacting Features. Advances in Human Factors and Systems Interaction. Springer. DOI:10.1007/978-3-319-94334-3_5.

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]

Dabbiru, L., Goodin, C., Scherer, N., & Carruth, D. W. (2020). LiDAR Data Segmentation in Off-Road Environment Using Convolutional Neural Networks (CNN). SAE International Journal of Advances and Current Practices in Mobility. SAE International. 2, 3288-3292. DOI: [Abstract]

Sharma, S., Ball, J. E., Tang, B., Carruth, D. W., Doude, M., & Islam, M. (2019). Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving. Sensors. MDPI. 19(11), 2577. DOI:10.3390/s19112577. [Abstract] [Document] [Document Site]

Li, X., Tang, B., Ball, J. E., Doude, M., & Carruth, D. W. (2019). Rollover-Free Path Planning for Off-Road Autonomous Driving. Electronics. MDPI. 8(6), 614. DOI:10.3390/electronics8060614. [Abstract] [Document] [Document Site]

Liu, Y., LeClair, A. M., Doude, M., & Burch V, R. F. (2018). Development of A Data Acquisition System for Autonomous Vehicle Systems. International Journal of Vehicle Structures & Systems. 10(4), 251-256.

Deb, S., Strawderman, L., & Carruth, D. W. (2018). Investigating Pedestrian Suggestions for External Features on Fully Autonomous Vehicles: A Virtual Reality Experiment. Transportation Research Part F Traffic Psychology and Behaviour. 59(Part A), 135-149.

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]

Deb, S., Rahman, M. M., Strawderman, L. J., & Garrison, T. M. (2018). Pedestrians’ Receptivity Toward Fully Automated Vehicles: Research Review and Roadmap for Future Research. IEEE Transactions on Human-Machine Systems. IEEE. PP(99), 1-12. DOI:10.1109/THMS.2018.2799523. [Abstract] [Document Site]

Deb, S., Strawderman, L., Carruth, D. W., DuBien, J., Smith, B. K., & Garrison, T. M. (2017). Development and Validation of a Questionnaire to Assess Pedestrian Receptivity toward Fully Autonomous Vehicles. Transportation Research Part C: Emerging Technologies. 84, 178-195. [Abstract] [Document Site]

Durst, P., Anderson, D., & Bethel, C. L. (2017). A Historical Review of the Development of Verification and Validation Theories for Simulation Models. International Journal of Modeling, Simulation, and Scientific Computing. 8(2), 1-24. DOI:10.1142/S1793962317300011. [Abstract]

Kikuta, R., Carruth, D. W., Burch V, R. F., Ball, J. E., & Kageyama, I. (2023). Risk Assessment and Observation of Driver with Pedestrian Using Instanteneous Heart Rate and HRV. AHFE 2023 International Conference proceeding. San Francisco Marriott Marquis, San Francisco, California, USA: Applied Human Factors and Ergonomics (AHFE). DOI:10.54941/ahfe1003827. [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]

Mason, G. L., Carruth, D. W., Hudson, C. R., Jones, R. A., Cole, M. P., Smith, W., & Jayakumar, P. (2018). Test Operation Procedures for Autonomous MRZR. Military Operations Research Society (MORS) 86th annual symposium. Monterery, CA; Naval Postgraduate School. [Document]

Sun, Y., & Carruth, D. W. (2018). How Does Presence of a Human Operator Companion Influence People's Interaction with a Robot? Advances in Human Factors in Robots and Unmanned Systems. Orlando, FL: Springer. 136-142. DOI:10.1007/978-3-319-94346-6_13. [Abstract] [Document Site]

Kurum, M., Gurbuz, A., Barnes, S., Boyd, D. R., Farhad, M., & Senyurek, V. (2021). A UAS-based RF Testbed for Water Utilization in Agroecosystems. Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI. Proc. SPIE 11747: International Society for Optics and Photonics. 11747, 117470J. DOI:10.1117/12.2591895. [Abstract] [Document Site]

Dabbiru, L., Goodin, C., & Carruth, D. W. (2020). LiDAR Data Segmentation in Off-road Environment Using Convolutional Neural Networks (CNN). SAE International. Detroit, MI. DOI:10.4271/2020-01-0696. [Abstract] [Document Site]

Hudson, C. R., Lucius, R., Gray, R., Powell, B., Doude, M., & Carruth, D. W. (2019). Using Simulation to Accelerate Development of User Interfaces for Autonomous Vehicles. Human Computer Interaction International 2019. Orlando, FL. [Document]

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]

Deb, S., Hudson, C. R., Carruth, D. W., & Frey, D. (2018). Pedestrians Receptivity in Autonomous Vehicles: Exploring a Video-based Assessment. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Philadelphia, PA. 62(1), 2061-2065. [Abstract] [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]

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.

Rahman, M. M., Strawderman, L., & Carruth, D. W. (2017). Effect of Driving Contexts on Driver Acceptance of Advanced Driver Assistance Systems. Proceedings of the HFES 2017 International Annual Meeting. Austin, TX.

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]

Bethel, C. L., Henkel, Z. M., Eakin, D. K., May, D., & Pilkinton, M. (2017). Moving Toward an Intelligent Interactive Social Engagement Framework for Information Gathering. Proceedings of the 15th IEEE International Symposium on Applied Machine Intelligence and Informatics (SAMI 2017). Herl'any, Slovakia: IEEE. [Abstract]

Deb, S., Poudel, S., Bhandari, S., & Warner, B. (2016). Identification of External Design Preferences in Autonomous Vehicles. Proceedings of the 2016 Industrial and Systems Engineering Research Conference. Anaheim, CA.

Haupt, T., Voruganti, A., Kalyanasundaram, A., & Zhuk, I. (2006). Grid-Based System for Product Design Optimization. 2nd IEEE International Conference on e-Science and Grid Computing,. Amsterdam, the Netherlands. [Abstract]

Cho, K., Kwon, S. J., & Suh, M. W. (). Vehicle Dynamic Simulation for the Robust Control of Autonomous Driving. Proceedings of the 8th Tokyo AVCS Conference. Tokyo , Japan: Tokyo AVCD Conference.

Carruth, D. W. (2018). Simulation for Training and Testing Intelligent Systems. 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA). Kosice, Slovakia: IEEE. DOI:10.1109/DISA.2018.8490627. [Abstract] [Document Site]

Cho, K., Kwon, S. J., & Suh, M. W. (2004). A Study on the Model-Matching Control in the Longitudinal Autonomous Driving System. Int. J. of Automotive Technology. Int. J. of Automotive Technology. 5(2), 135-144.

Ciorba, F. M., Carino, R.L., & Banicescu, I. (2009). Towards the Robustness of High-performance Execution of Multiscale Numerical Simulation Codes Hosted by the Cyberinfrastructure of CAVS @ MSU. MSU.CAVS.CMD.2009-R0008. Mississippi State University: CAVS. [Abstract] [Document]

Oglesby, D., Solanki, K.N., Crocker, M., Hollingsworth, L., Cassibry, M., & Wang, P. (2008). Analysis of the Tactical Autonomous Combat Chassis (TAC-C). MSU.CAVS.CMD.2008-R0024. CAVS REPORT.

Jelinek, B. (2019). Experimental and Modeling Capabilities for Off-road Mobility at CAVS, Mississippi State University. University of Wisconsin-Madison. [Document Site]

Fuller, S. (2018). Autonomous Test Track Overview. Mississippi State University, Starkville, MS. [Abstract]