Featured Topic: Practical Applications of Precise Mapping
The demand for high precision maps is growing rapidly in many industries, and businesses are evaluating how to deploy these maps affordably and at scale. In this issue, we explore how precise maps can be integrated into automotive and fleet solutions — and maintained over time.
Also in this issue: a Q&A between Inside GNSS and Swift’s CEO, Tim Harris, and a look at the first deployment of precise GNSS in a consumer handset.
In the automotive industry, the conversation around mapping often swings between two extremes: “mapless” navigation that relies on cameras and onboard intelligence, and HD maps that offer lane-level precision but come with massive cost, complexity and scalability challenges.
In between is the sweet spot: augmented SD maps—lightweight, continuously refreshed, and anchored to a global reference frame. By combining perception sensors with precise GNSS, automakers, fleets, and dashcam companies can build maps that are streamlined, scalable, and cost-effective.
With rising operational costs, ever-changing street dynamics, and fluctuating freight volumes, fleet optimization is no longer optional; it’s a necessity for survival. AI-powered spatial intelligence enables fleets to streamline operations, cut fuel use, and support smarter, data-driven decision-making.
Learn how the combination of AI vision units, precise GNSS, and enhanced maps are creating tangible value at scale for fleet operators.
Tim Harris sat down with Inside GNSS to talk about Swift Navigation’s journey from a niche market disrupter to a major enabler of autonomy, navigation, and mapping at scale across industries.
In this wide-ranging conversation, you’ll learn how Swift’s focus on affordability, scalable architecture, and high integrity are transforming the future of GNSS applications.
Grab recently announced that it is putting centimeter accurate positioning directly in the hands of mobile users.
By integrating Swift’s Skylark™ Precise Positioning Service with Qualcomm's Snapdragon platform and OPPO's dual-frequency smartphones, Grab is enabling smoother pick-ups, reduced cancellations, and improved navigation efficiency for their millions of drivers and passengers.
This partnership is a significant global benchmark, validating the path for high-accuracy GPS to become standard in mass-market mobile applications like ride-hailing, micromobility, logistics, and delivery.