Thermal modeling for autonomous vehicle simulations

Orie M. Cecil; Justin T. Carrillo; Matthew D. Bray; Andrew C. Trautz; Brian R. Brady; John G. Monroe; Matthew W. Farthing; Josh R. Fairley

doi:10.1117/12.2663842

14 June 2023 Thermal modeling for autonomous vehicle simulations

Orie M. Cecil, Justin T. Carrillo, Matthew D. Bray, Andrew C. Trautz, Brian R. Brady, John G. Monroe, Matthew W. Farthing, Josh R. Fairley

Author Affiliations +

Proceedings Volume 12549, Unmanned Systems Technology XXV; 125490C (2023) https://doi.org/10.1117/12.2663842
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Autonomous vehicles (AVs) employ a wide range of sensing modalities including LiDAR, radar, RGB cameras, and more recently infrared (IR) sensors. IR sensors are becoming an increasingly common component of AVs’ sensor packages to provide redundancy and enhanced capabilities in conditions that are adverse for other types of sensors. For example, while RGB cameras are sensitive to lighting conditions and LiDAR performance is degraded in inclement weather such as rain, IR sensors are unaffected by lighting conditions and can contribute additional meaningful information in inclement weather. The US Army Corps of Engineers, Engineer Research and Development Center (ERDC) has developed the ERDC Computational Test Bed (CTB) to provide a suite of tools that can be used to support virtual development and testing of AVs. The CTB includes physics-based vehicle-terrain interaction, sensor and environment modeling, geo-environmental thermal modeling, software-inthe- loop capabilities, and virtual environment generation. Thermal modeling capabilities within the CTB utilize decades of near-surface phenomenology and autonomy research. Recent additions have been made to support large-domains commonly required for autonomous vehicle operations. These additions provide high-fidelity, physics-based thermal transfer and IR sensor models for creating high-quality synthetic imagery simulating IR sensors mounted on AVs. Highly parallelized thermal and IR sensor models for large-domain AV operations will be presented in this paper.

Conference Presentation

Citation Download Citation

Orie M. Cecil, Justin T. Carrillo, Matthew D. Bray, Andrew C. Trautz, Brian R. Brady, John G. Monroe, Matthew W. Farthing, and Josh R. Fairley "Thermal modeling for autonomous vehicle simulations", Proc. SPIE 12549, Unmanned Systems Technology XXV, 125490C (14 June 2023); https://doi.org/10.1117/12.2663842

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