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Neya Systems, LLC

Address

145 Lake Drive Suite 104
Wexford, PA, 15090-
USA

View website

UEI: UPCAVJK49B56

Number of Employees: 13

HUBZone Owned: No

Woman Owned: No

Socially and Economically Disadvantaged: No

SBIR/STTR Involvement

Year of first award: 2010

Phase I Awards

Phase II Awards

57.14%

Conversion Rate

$1,772,947

Phase I Dollars

$7,613,046

Phase II Dollars

$9,385,993

Total Awarded

Awards

Up to 10 of the most recent awards are being displayed. To view all of this company's awards, visit the Award Data search page.

Automated Tuning and Calibration of By-Wire Vehicles for Automated Driving Functions

Amount: $99,903 Topic: A16-134

Actuation tuning and sensor calibration are essential procedures required to obtain expected and desired behavior from an optionally-manned platform. Unfortunately, these tasks often require custom and brittle procedures which are time consuming and difficult to conduct outside of a controlled environment with special-purpose test equipment. Furthermore, many of these procedures require routine re-tuning and re-calibration by dedicated personnel due to disturbances in sensor mounting locations, general wear on vehicle components, environmental variations, and replacement of parts due to failure or damage. To streamline the process of tuning and calibration, we propose a method of automatically determining actuation parameters, sensor calibration, and vehicle models. This effort will leverage our prior work on the ONR Code 30 Autonomy program, and in Phase I will focus on further developing the capability of automatic vehicle model parameter discovery, extending algorithms to support sensor self-calibration, and evaluating performance of the prototype in a benchtop environment with both simulated data and data from an unmanned ground vehicle. Upon demonstration of viability, in Phase II we plan to transition and optimize our process to run on-line, allowing for real-time adaptation of the models to changing vehicle and terrain conditions.

SBIR

Phase I

2017

DOD

ARMY

Scene Registration Augmented Reality as an Educational Tool to Identify Underlying Anatomy during Medical Simulation Training

Amount: $149,843 Topic: DHP163-002

Medical education, techniques, and training are critically import to the US military force. For example, surgical simulations allow surgeons to practice their techniques without the cost, limitations, and ethical problems of using cadaver-based subjects. Simulation technologies are becoming increasingly valuable additions to the more traditional medical teaching methods. These new technologies are now more readily available than ever before and can improve and streamline the medical training process. The emergence of Augmented Reality (AR) in recent years on mobile devices such as phones and tablets enables the opportunity to apply AR technology to help train and better equip our military medical forces. Illustrative tools using AR to help elucidate the internal anatomy in relation to external landmarks will enable educators to use existing standardized patients and medical mannequins in new and innovative ways. Using simple and ubiquitous phone or tablet mobile technology, Neya Systems proposes to develop an AR system that will accurately place spatially registered anatomical overlays, so that they appear attached to the patient or mannequin when viewed through the mobile device. By sharing this view with the students, we will provide both instructors and student with a simulated x-ray vision capability for more engaged learning.

SBIR

Phase I

2017

DOD

DHA

Automated 3D Reconstruction of a Scene From Persistent Aerial Reconnaissance Video at High Zoom

Amount: $149,967 Topic: AF161-151

ABSTRACT: Persistent aerial reconnaissance of an area of interest is often performed in support of ground operations. This reconnaissance is often completed with passive full motion video with the platform flying an orbit. While high-fidelity automatically-generated 3D models of the viewed scene would greatly benefit analyst understanding of the environment, frequent zoom changes and switching between color, electro-optical, and infrared sensing greatly complicates model generation. Neya Systems proposes to develop a 3D scene model generation capability that is not hindered by frequent zoom changes or changes between color, electro-optical and infrared video. A performance model will be developed that characterizes expected accuracy of the reconstruction.; BENEFIT: The benefits of three-dimension (3D) context for tactical and ISR missions are widely recognized and range from providing the spatial awareness to the Warfighter during tactical operations to providing the common spatial representation for multi-INT data fusion during manual and/or automated ISR exploitation. By providing this 3D information regardless of the video characteristics used to generate the information, our solution greatly increases the scenarios within which this capability can be used.

SBIR

Phase I

2016

DOD

USAF

Mobile Virtual Interactive Presence Capability for Combat Casualty Care

Amount: $999,789 Topic: DHP15-002

During combat a soldier may incur treatable injuries beyond the expertise of the combat medic. Addressing this by deploying more knowledgeable Medical Officers per-squad could be life-saving and significantly improve battlefield injury recovery. However, limited resources often prevent deployment of such expertise per-squad. During our Phase I RACC development, Neya Systems has successfully demonstrated the feasibility of a novel solution to this very problem: deployment of a Medical Officers expertise without deploying the Medical Officer.In Phase II, we are providing robust feature tracking in the presence of local scene motion, including off-camera motion and full scene changes; extending Phase I EUD feature tracking implementation to include cloud-based processing and service architecture to enable offloading of complex processing; developing a browser-based interface tool suite for static and dynamic annotation design, and placement, synchronized across the RACC network; and extending the UCS System Architecture to include RACC data structures and fully integrate with Neyas existing cloud-based infrastructure.

SBIR

Phase II

2016

DOD

DHA

Standards Based Unmanned Ground Vehicle Mission Language Translator with Graphical Planning Tool.

Amount: $998,833 Topic: A09-204

Neya proposes to develop extensions to its existing Mission Planning and Management System (MPMS) suite of tools that provide automated decision aids for collaborative unmanned system planning supporting CERDECs MCAS view-based architecture. This system will include 1) tools for the development of mission plans informed via Mission Command data networks and services, 2) automated task decomposition, allocation, and scheduling algorithms and 3) mission metric simulation and assessment algorithms. The resulting system will greatly reduce the time and effort required to perform manned/unmanned system mission planning and analysis at various echelons by developing a ranked set of automated planning solutions for heterogeneous (manned/unmanned) assets based on encoded procedural doctrine and predictive models.

SBIR

Phase II

2016

DOD

ARMY

UxPRESS: Unmanned Systems PeRception Evaluation Simulation System

Amount: $985,014 Topic: OSD13-HS4

Abstract

SBIR

Phase II

2016

DOD

OSD

Modular Sonar Identification System (MoSIS)

Amount: $993,182 Topic: N132-119

Systems, LLC proposes to develop a hardware and software capabilities for Pre-Processing Logic (SPP) and Main Processor (SMP) for the sonar signal processing. Our approach includes a broad range of power saving measures in software and hardware to greatly improve power/performance ratio over the current baseline system. Our approach was validated in Phase I by demonstrating a potential 30x gain in certain algorithm performance over the baseline hardware, without additional power draw. The output of our Phase II is a prototype SPP/SMP system that is tested and validated against logged real world data to demonstrate reduced power, increased computational speed, and a low rate of false positives and false negatives.

SBIR

Phase II

2015

DOD

NAVY

Mobile Virtual Interactive Presence Capability for Combat Casualty Care

Amount: $149,772 Topic: DHP15-002

Neya Systems, LLC proposes RACC: Remote Assistance for Casualty Care. Our approach demonstrates a remote virtualized presence for medical expertise over a limited bandwidth communications link. A Medical Officer annotates an incoming video stream with procedural information for a full spectrum of medical demonstrations from simple text to manipulation via captured hand gestures. The annotations are parameterized and spatially registered to the casualty using extracted salient features alleviating the need to transmit video back to the field medic. Neya has significant expertise in video compression, limited bandwidth communications, mobile application development, and state of the art video and image processing. The output of a successful Phase I program will be a demonstration of an Android-based device showing remote annotation aids from a Medical Officer over a bandwidth-limited communication network (simulating the target hardware) positioning us for a Phase II effort implementing additional annotations and demonstrating on real hardware.

SBIR

Phase I

2015

DOD

DHA

BLAST: A System for Bandwidth- and Latency-Scalable Teleoperation

Amount: $999,657 Topic: OSD13-HS3

This topic addresses the problem of robustly commanding and controlling unmanned ground vehicles operating in complex, unstructured environments. Current approaches to this task rely on dense scene reconstruction from a variety of sensor data such as LIDAR and video imagery. Scene representations are then relayed to a remote human operator who provides commands at varying levels of supervisory control (intelligent teleoperation). Challenges arise in scenarios where the available communication link allows only low bandwidth data transmission and/or exhibits high latency. In such scenarios, bandwidth limitations prevent rich scene representations from being transmitted from the vehicle to the operator in a timely manner. In addition, high latency may have a destabilizing effect, causing commands issued by the operator to lead to unsafe actions by the vehicle. This effect is exacerbated as the frequency of command inputs increases. Novel frameworks, and associated algorithms, are required to enable robust operations of autonomous unmanned ground vehicles operating in complex, unstructured environments, over a low-bandwidth, high latency communication link. Such approaches would provide an operator with sufficient information to make timely command and control decisions, even in harsh communication scenarios. They would also provide contingency-based assurance of system safety in the absence of timely command and control decisions. In addition, other functional relationships such as sensor costs need to be addressed since these costs are generally proportional to the level of autonomy or intelligence. Approaches to this problem may emphasize perception, vehicle control, or some combination of the two. In the perception domain, approaches to intelligent data compression and minimal scene representation are desired [1]. Such approaches may condense raw sensor data into compact, human-recognizable primitives that can be efficiently transmitted over low-bandwidth communication links. These methods may be optimized for particular contexts (e.g. urban operations) to enable improved data compression, and they may also dynamically vary scene representation richness or complexity depending on available bandwidth. In the control domain, contingency-based control algorithms that ensure vehicle safety in the absence of operator inputs, or when provided with unsafe command inputs (perhaps due to the effects of latency) are desired. Again, such approaches may be optimized for particular contexts to enable improved performance. Methods that act as vehicle co-pilots, which both ensure vehicle safety and attempt to predict operator intent, would be particularly useful [2]. The output of this work is software that would be integrated with an existing autonomous vehicle(s) to yield measureable improvements in safety and operational speed compared to a baseline system, for the low-bandwidth, high-latency scenarios of interest. If successful, this work will have broad applications for autonomous and semi-autonomous military vehicle operations.

SBIR

Phase II

2015

DOD

OSD

BLAST: A System for Bandwidth- and Latency-Scalable Teleoperation

Amount: $149,940 Topic: OSD13-HS3

Most current teleoperated ground vehicle systems require a high-bandwidth link to support either real-time streaming video or streamed 3D structure back to the operator control unit, and experience significant performance degradation in the presence of communication latencies as small as 100 milliseconds. These latency and bandwidth requirements severely hamper use of teleop systems in situations where latency is high and/or bandwidth is low. The goal of the proposed work is to construct such a system by combining a vehicle safeguarding approach with a solution for effective 3D data compression, and coupling it with a novel approach for controlling the intended vehicle path.

SBIR

Phase I

2014

DOD

ARMY