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January 29, 2024  - By
Image: Stanford Engineering GPS lab

Image: Stanford Engineering GPS lab, a Silicon Valley-based company specializing in off-road and unstructured autonomy, has released its assured positioning, navigation, and timing (A-PNT) solution. The solution — called BlueSpace Positioning Solution (BPS) — illustrates how artificial intelligence (AI) can enhance navigation precision in GPS-denied and GPS-degraded environments for both manned and unmanned vehicles.

BPS is designed to address the challenges posed by weak GPS signals, susceptible to jamming, spoofing and unintentional blockages in various environments. It can support a cross-track error, or drift error, of less than 0.3%. This surpasses the industry standard of approximately 1% error over distance traveled. BPS also aims to maintain high performance while using industrial-grade inertial measurement units (IMUs), which leads to improvements in size, weight and power (SWaP).

The AI solution is designed to eliminate geofence limitations and remove dependencies on prior training data and ultra-HD mapping. has participated in a variety of defense and commercial applications, including applications in challenging underground mining environments, truck and bus automation and off-road autonomy.

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