This report discusses the results of SBIR Phase I effort to prove the feasibility of dramatic improvement of the microbolometer-based Long Wave Infrared (LWIR) detectors sensitivity, especially for the 3D measurements. The resulting low SWaP-C thermal depth-sensing system will enable the situational awareness of Autonomous Air Vehicles for Advanced Air Mobility (AAM). It will provide robust 3D information of the surrounding environment, including low-contrast static and moving objects, at far distances in degraded visual conditions and GPS-denied areas. Our multi-sensor 3D perception enabled by COTS uncooled thermal sensors mitigates major weakness of LWIR sensors - low contrast by increasing the system sensitivity over an order of magnitude. There were no available thermal image sets suitable for evaluating this technology, making datasets acquisition our first goal. We discuss the design and construction of the prototype system with sixteen 640pix x 512pix LWIR detectors, camera calibration to subpixel resolution, capture, and process synchronized image. The results show the 3.84x contrast increase for intrascene-only data and an additional 5.5x - with the interscene accumulation, reaching system noise-equivalent temperature difference (NETD) of 1.9 mK with the 40 mK sensors.
翻译:本报告讨论了履行机构第一阶段工作的结果,以证明大幅改进以微型气压计为基础的长波红外红外探测器(LWIR)敏感度的可行性,特别是在3D测量方面。由此产生的低SWAP-C热深度遥感系统将使高级空中机动自动飞行器(AAM)能够了解情况。它将在退化的视觉条件和GPS封闭的地区,以远距离提供强有力的三维环境信息,包括低调静态和移动物体。我们的多传感器3D感应器由COTS无冷热感应器生成,减轻了LWIR传感器的主要弱点——通过提高系统在数量级上的敏感度来降低这种传感器的弱点。没有适合评估这一技术的热感应图集,使数据集成为我们的第一个目标。我们将讨论原型系统的设计和建造,使用16,640平ix x 512pix LWIR 探测器、摄像学校准分解、捕捉和进程同步图像。结果显示,3.84x对比器对LWIR传感器的主要弱点,通过提高系统敏感度的敏感度来评估这一技术,并增加5.5KMNMRMS。我们讨论了原型的温度。