BlueSpace.ai Unveils AI-Powered Solution Enhancing Navigation in GPS-Denied Areas - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design

BlueSpace.ai Unveils AI-Powered Solution Enhancing Navigation in GPS-Denied Areas

BlueSpace.ai, a Silicon Valley-based company specializing in off-road and unstructured autonomy, made its debut at CES 2024 with the unveiling of its Assured Positioning, Navigation, and Timing (A-PNT) solution, showcasing how artificial intelligence (AI) can enhance navigation precision in GPS-denied and GPS-degraded environments for both manned and unmanned vehicles.

BlueSpace.ai introduced its A-PNT solution to address the challenges posed by weak GPS signals, susceptible to jamming, spoofing, and unintentional blockages in various environments.

BlueSpace Positioning Solution (BPS) aims to support a cross-track error or drift error of less than 0.3%, surpassing the industry standard of approximately 1% error over distance traveled. BPS also aims to maintain high performance while utilizing cost-effective industrial-grade Inertial Measurement Units (IMUs), leading to improvements in Size, Weight, Power, and Cost (SWaP-C).

BPS operates with a reduced frequency, pinging only once a minute while traveling at speeds of approximately 40-50 mph. This selective approach enables BPS to accept or reject degraded GPS measurements without disrupting operations, ensuring sustained accuracy over longer distances.

The edge AI solution powering BPS eliminates geofence limitations and removes dependencies on prior training data and ultra HD mapping.

Christine Moon, Co-Founder & President at BlueSpace.ai, commented on the market response, stating, “The market is responding enthusiastically to AI-powered solutions that boost reliability and productivity. BlueSpace Positioning Solution edge AI solution can offer more capabilities with fewer infrastructure requirements.”

BlueSpace.ai has engaged in various defense and commercial applications, including applications in challenging underground mining environments, truck and bus automation, and off-road autonomy.

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