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.

Fill out the form to get your copy today!

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.

Man setting up Hoverfly tethered unmanned aerial system (TeUAS) on an off-road vehicle.
Tethered. Tested. Trusted.

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

Aerial drone reality capture survey of Lahaina, Hawaii.
Positioned for recovery

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

AgXeed’s AgBot autonomous tractor ploughing a field.
The new harvest

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

Handheld 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.

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.

Data collection site in downtown Calgary to test multipath AI mitigation techniques.
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.

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.

Test vehicle with GNSS technologies 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.

Read and download Velocity 2025 magazine

Complete the form to access the digital version of Velocity 2025 magazine.