SBIR Phase I: Single-Pulse Radio Frequency Software Suite to Improve Advanced Driver Assistance Systems Safety

这一小型企业创新研究(SBIR)第一阶段项目的更广泛/商业影响集中在开发软件，以增强先进驾驶员辅助系统(ADAS)上现有雷达硬件的性能。尽管ADAS传感技术正在发展，但仅在美国，平均每天就有14,386起车祸。这些技术的性能仍需大幅提升，以确保驾驶员的安全。该项目将改变目前ADAS系统的性能，减少每天发生的车祸和死亡人数。ADAS雷达的总潜在市场规模估计为66.1亿美元，这是所有ADAS传感器中增长最快的市场。目前正在推出的雷达技术改进主要集中在硬件、机器学习和人工智能方面。这些当前的技术正在解决解决问题，但它们伴随着处理时间更慢、成本更高和效率更低的负面影响。该项目软件解决方案的成功开发将颠覆ADAS行业，因为这项创新是基于物理的，可以释放雷达性能的真正潜力。该项目的智力优势集中在利用现有硬件开发和部署用于遥感和数据传输的软件套件。该软件套件包括三个主要步骤：定位对象、识别对象以及将结果传达给周围环境中的其他车辆和/或基础设施。前两个步骤属于遥感范畴。第三个属于通信类别。将对所有三个步骤进行模拟开发。一旦开发出强大的模拟，该软件套件的遥感部分将在行业标准雷达单元上进行测试。测试部署的预期结果是，该软件套件的遥感部分将使传统的ADAS雷达能够实现更高的分辨率和更低的延迟。此部署是硬件开发的第一步，目的是创建更安全和完整的ADAS软件套件。结果将被用来评估拟议的软件套件在真实环境中的可靠性和可行性。此外，该结果将用于评估软件套件的效能，方法是将性能与当前ADAS雷达性能进行基准比较。该奖项反映了NSF的法定使命，并已通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is focused on developing software to enhance the performance of existing radar hardware on Advanced Driver Assistance Systems (ADAS). Despite development of ADAS sensing technologies, there are, on average, 14,386 car accidents per day in the United States alone. The performance of these technologies still needs to be improved significantly to ensure the safety of drivers. This project will transform the performance of current ADAS systems, reducing the number of car crashes and fatalities that occur daily. The total addressable market size for ADAS radar is estimated to be $6.61 billion, and this is the fastest growing market among all ADAS sensors. The current radar technology improvements being introduced today are focused on hardware, machine learning, and artificial intelligence. These current technologies are addressing issues that deal with resolution, but they come with the negative effects of slower processing times, higher cost, and less efficiency. The successful development of the software solutions in this project will disrupt the ADAS industry as this innovation is physics-based and can unlock the true potential of radar performance.The intellectual merit of this project is focused on developing and deploying a software suite for remote sensing and data transmission using existing hardware. The software suite involves three primary steps: locating objects, identifying objects, and communicating the findings to other vehicles and/or infrastructure in the surrounding environment. The first two steps fall underneath the remote sensing category. The third falls under the communications category. Simulation development will be done for all three steps. Once robust simulations have been developed, the remote sensing portion of the software suite will be tested on an industry standard radar unit. The anticipated outcome of the test deployment is that the remote sensing piece of the software suite will enable conventional ADAS radars to achieve higher resolution and lower latency. This deployment is the first step in hardware development to create a safer and complete ADAS software suite. The results will be used to assess the reliability and feasibility of the proposed software suite in a real-world environment. Additionally, the results will be used to evaluate the efficacy of the software suite by benchmarking performance against current ADAS radar performance.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.