Advanced high-fidelity autonomy systems simulation

Justin T. Carrillo; Orie M. Cecil; John G. Monroe; Andrew C. Trautz; Matthew W. Farthing; Matthew D. Bray

doi:10.1117/12.2618011

6 June 2022 Advanced high-fidelity autonomy systems simulation

Justin T. Carrillo, Orie M. Cecil, John G. Monroe, Andrew C. Trautz, Matthew W. Farthing, Matthew D. Bray

Proceedings Volume 12115, Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure 2022; 121150D (2022) https://doi.org/10.1117/12.2618011
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

The United State Army Corp of Engineers (USACE) Engineering Research and Development Center (ERDC) has developed a suite of computational tools called the Computational Test Bed (CTB) for advanced high-fidelity physics-based autonomous vehicle sensor and environment simulations. These tools provide insights into onboard navigation, image processing, sensor fusion techniques, and rapid data generation for artificial intelligence and machine learning techniques across the full spectrum (visible, NIR, MWIR, and LWIR) and for various sensor modalities (LiDAR, EO, radar). This paper presents ERDC’s CTB that allows the community to design, develop, test, and evaluate the entire autonomy space from machine learning algorithm development using augmented synthetic data to large-scale autonomous system testing.

Conference Presentation

Citation Download Citation

Justin T. Carrillo, Orie M. Cecil, John G. Monroe, Andrew C. Trautz, Matthew W. Farthing, and Matthew D. Bray "Advanced high-fidelity autonomy systems simulation", Proc. SPIE 12115, Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure 2022, 121150D (6 June 2022); https://doi.org/10.1117/12.2618011

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