Award Data

Realistic visualization of surrounding airspace and terrain are crucial elements for safe operation by remote pilots of unmanned aerial vehicles (UAVs). In Instrument Meteorological Conditions (IMC), visual spectrum cameras, IR sensors, TCAS, ACAS, ground-based radar flight-following and even onboard radar may be technically sufficient for remote pilots. However a great deal of sensory information ...

Urban/Advanced Air Mobility (UAM/AAM) technology is advancing rapidly with over 300 designs underway.  Primary to the challenges of an electric Vertical Take Off and Landing (eVTOL) is what will happen if the vehicle suffers a failure in flight (especially in VTOL).  Establishment of a level of safety is paramount in the success or failure of the UAM market. Currently, there is not a practical r ...

Planck Aero and UC San Diego will collaborate to adapt and modify technology to address defense needs by providing an innovative, modular aerial navigation system that is capable of identifying and monitoring the accuracy, availability, and integrity of sensor sources, and ingesting all data into algorithms capable of providing a precision navigation solution for the duration of a mission withou ...

Jump Aero has partnered with Caltech’s Center for Autonomous Systems and Technologies (CAST) to move adaptive control and machine learning autonomy algorithms from the lab to the real world.  We will accomplish this transition through an incremental crawl-walk-run process where the first crawl step involves a combination of certifiable hardware and a software architecture that is based on Run T ...

CU Aerospace (CUA) and team partner the University of Illinois at Urbana-Champaign (UIUC) propose to develop a new design methodology for rotor blades, which will offer quieter performance compared to conventional approaches. The proposed approach seeks to mitigate the acoustic impact of vortex-induced noise of lifting rotors and propellers, which currently serves as one of the dominant noise sour ...

This Proposal addresses the tracking and forecasting a cyberthreat’s future maneuvers in compromised network. Our approach is as follows: Movement in the Network observed by Intrusion Detection System (IDS) Sensor Data = Discrete States (e.g., IP or Port Addressed per IDMEF alert format) Forecast Threat Track Vector using Multiple Hypothesis Method (MHM) Use Probabilistic Relational Model (PRM) ...

Interest in abating noise pollution from future eVTOL vehicles utilized in urban environments is a major motivating factor for this proposed study.  Past strategies for predicting noise about aircraft and rotorcraft tended to be highly empirical leading to limited generalization and accuracy. On the other hand, modern acoustics methodologies can be employed as an effective and comprehensive means ...

This project aims to develop a technology for the preparation of scalable graphene batteries. The anodes are comprised of functionalized graphene sheets with basal plane nanoholes and assembled in a densely-packed covalently-linked framework. The anodes are prelithiated using a commercially scalable process, which enriches the electrodes with Li ions and forms a stable interface for increased cycl ...

The proposed situational awareness technology enables vertical takeoff and landing (VTOL) platforms to avoid collision with a broad range of obstacles, using an innovative integrated dual-wavelength single-sensor 3D camera system. This is possible via the

All-electric flying vehicle with vertical takeoff and landing capability, carrying 1-2 passengers or 300lb cargo and flying for more than 25 miles on one charge.