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Session B9: Complementary PNT: Vision Aided/Optical Ground

Visual-Based Position and Navigation for Mobile Devices & Autonomous Vehicles
Rajeev Surati and Kanwar Singh, Skyline Nav AI, Inc.
Location: Ballroom B
Alternate Number 1

Skyline Nav AI, Inc. is a leading technology company in the field of visual navigation, which offers a reliable and precise alternative to GPS. Our innovative technology has been developed to address the challenges posed by GPS dependency in areas with weak signals, making it particularly advantageous for the US military and commercial markets. In addition to providing uninterrupted operations, our technology has other exciting applications in dismounted navigation (handheld devices), autonomous vehicles, robots, precision-guided munitions, and drones in the future.
During our presentation, we will showcase our proprietary algorithms that enable our skyline-based location estimator to work in real-time on the Android Tactical Assault Kit (ATAK). We will also demonstrate how using GPUs can significantly speed up the search process and enhance the accuracy of the location estimator. Furthermore, we will present simulated and actual results from 23 global cities to showcase the efficacy of our technology. We will also discuss the kind of DSMs the technology works well with.
At Skyline Nav AI, we use computationally efficient sensors to locate a person or vehicle in complex urban/suburban terrains. Our sensors can analyze semantic classes such as buildings, vegetation, and roadways, making the positioning and navigation even more precise. Our technology's ability to analyze semantic classes is particularly useful for urban warfare, where it can aid troops in navigating their way through complex cityscapes. This technology can also be useful for position and navigation in urban and suburban areas within the commercial market.
Our patented technology was initially researched and validated at the Army Research Lab (ARL). Over the past three years, we have collaborated with several organizations, including the Air Force Research Lab (AFRL), Charles Stark Draper Laboratory, National Security Innovation Network (NSIN), FedTech, Massachusetts Institute of Technology, National Science Foundation (NSF), and National Geospatial-Intelligence Agency (NGA). These collaborations have helped us advance our technology and bring it to the forefront of visual navigation.

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