Event-Based Sensing Hardware and Algorithms for Navigation

Objective: Develop novel and innovative low size, weight, power, and cost (SWaP-C) event-based sensing navigation solution suitable for hostile flight and/or space environments that is not reliant on Global Positioning System (GPS) or Global navigation Satellite System (GNSS) inputs. Description: The proposed initiative focuses on the development of event-based sensing technology that utilizes advanced neural network models to enhance the navigation capabilities of kill vehicles and satellites. This system aims to operate independently of GNSS yet synergistically with existing inertial navigation systems (INS) or units, providing critical inputs that improve overall navigational accuracy and responsiveness in dynamic environments. By leveraging neural networks, the technology will process event-driven data—such as changes in the vehicle's surroundings or mission-specific stimuli—allowing for real-time decision-making and adaptive navigation. Solutions should enhance the vehicle's ability to react to unforeseen circumstances but also allows for the integration of various sensor modalities, thereby enriching the situational awareness of the system. The performance benchmarks for this technology are set to align with the precision of current GPS standards, ensuring that the navigation capabilities meet or exceed the existing levels of accuracy required for advanced military operations. Development should plan on integration into current Missile Defense Agency platforms to maintain compatibility with established navigation frameworks. Keywords: Event-Based; Visual; Navigation; SIFT; FLANN Matcher; YOLO; Neural Network; VIO systems; GPS; INS; Inertial; Keypoints; Landmarks; Star tracker; Celestial CMMC Level: Level 1