Velocity 2025

A stack of Velocity magazines and several copies of the magazine open to various articles

Velocity 2025

Discover how trusted positioning is advancing accuracy, reliability, and safety for the autonomous future.
Read Velocity 2025 now

The future of autonomy depends on trusted positioning

In the latest issue of Velocity, learn how AI is creating new pathways to boost resilient GNSS positioning and how real-world testing proves performance. See how our precise positioning technologies provide the accuracy and reliability needed for autonomous tractors, aerial drone applications, and handheld reality capture.

Read Velocity now and discover the technologies providing accuracy, reliability, and safety for the autonomous future.

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What you’ll find inside

Trusted positioning takes flight—and field

Dive into two articles focusing on how our customers rely on trusted, precise positioning for drone applications—from Hoverfly Technologies’ tethered drones used in defence and security to an aerial survey of Lahaina, Hawaii, by Basemap Consulting after the devastating wildfire. In the field, read about how AgXeed’s AgBot tractor set a world record in autonomous ploughing and learn how Looq AI’s award-winning handheld system is revolutionising reality capture.

Tethered unmanned aerial system (TeUAS) from Hoverfly Technologies.

Tethered. Tested. Trusted.

Persistent drones are reshaping how mission-critical operations maintain aerial presence.

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Photograph of a person conducting an aerial survey of Lahaina, Hawaii with a drone.

Positioned for recovery

The crucial role of positioning and reality capture in the rebuilding of wildfire-devastated Lahaina, Hawaii.

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AgXeed’s AgBot autonomous tractor ploughing a field.

The new harvest

How autonomous tractors are setting records and driving the future of farming.

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Hand-held photogrammetry for field surveying with Looq AI qCam.

Precise, dynamic positioning for a bold, new reality capture system

Handheld, camera-based system leverages high-precision positioning for advanced reality capture.

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Building resilience with AI and real-world testing

Three technical articles written by engineers from Hexagon’s Autonomous Solutions Business Area show how AI can be leveraged to solve GNSS signal multipath and safeguard against interference from jamming. Real-world jamming and spoofing trials demonstrate the performance of advanced GNSS receiver algorithms.

Graphics and correlation functions for no multipath, line-of-sight multipath, and non-line-of-sight multipath.

Is artificial intelligence the key to unlocking the multipath problem in GNSS?

Breakthroughs in AI are unlocking a new set of possibilities for multipath detection and mitigation.

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Figure showing GNSS signal power spectral density with (blue) and without (red) adaptive filter for two interferers.

Adaptive interference suppression filter for GNSS receivers

Using an AI filter to detect various types of narrowband interferers for intense jamming environments.

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Test vehicles with GNSS technology to measure jamming and spoofing performance.

Interference detection on the frontlines: Battling GNSS jamming and spoofing

Going head-to-head with jammers and spoofers in a series of rigorous, real-world challenges.

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