PPP-RTK Vehicle Positioning Patents: Leaders & White Space 2026
- Filing peaked in 2018 at 16 records and has not returned to that level since, with the 2022 midpoint down to 3 — a field that opened fast and has since gone flat or declining.
- 55.4% of all 74 records sit with just five assignees, and 74.3% with ten, so a small group of filers has effectively set the claim boundaries for everyone else.
- 89.2% of records classify under G01S positioning and radar, while adjacent classes like G06V image recognition and H04W wireless networks each cover only 3-4 records — a narrow core with thin edges.
What the PPP-RTK vehicle positioning patent record actually shows
PPP-RTK combines Precise Point Positioning with real-time kinematic correction to shorten the convergence time a vehicle needs before it can trust a centimetre-level fix. The patent record for this specific slice — convergence time, correction delivery bandwidth, latency, ambiguity resolution reliability and reference network density — runs to 74 published records between 2015 and mid-2026, a small and technically dense corpus rather than a sprawling one. Filing activity is not evenly spread: it rose quickly, peaked in 2018 at 16 records, and has since fallen back toward single digits, with 2022 at 3 marking the flat-to-declining middle of the trend.
Because publication lags filing by roughly 18 months, the most recent years in this dataset understate real filing activity — 2026 shows zero only because those applications have not yet published. Reading the trend as a genuine falloff without that caveat would overstate how quiet the field has actually gone.
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Filing trend and technology composition
Two views of the same 74 records: how filing activity has moved year over year, and which IPC subclasses the claims actually sit in.
A 2018 peak that has not been repeated
Filings rose from 2 in 2017 to a peak of 16 in 2018, then eased toward a midpoint of 3 in 2022. That shape points to an early land-grab phase followed by consolidation around the claims already staked, rather than a technology still in an expansion phase.
G01S dominates; everything else is a thin edge
G01S (radar, sonar and positioning) covers 89.2% of the 74 records in scope, confirming this is fundamentally a positioning-signal-processing field. The next largest classes — G06K, G06T, G06V, H04W — each sit at 4-5% of records, meaning image processing, recognition and wireless-network integration are present but far from saturated.
Shares are the percentage of the 74 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on PPP-RTK for Vehicle Positioning with Eureka
This page is one run against one query. Ask Eureka your own question about ppp-rtk for vehicle positioning and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited records and a representative recent filing
LEO-augmentation-based convergence time shortening method of wide-area UDUC PPP-RTK positioning (US20240019585A1)
The application integrates LEO satellite navigation signals into UDUC PPP-RTK network-end observation equations, then uses the resulting network-end parameters to correct both GNSS and LEO user-end observation equations. The stated aim is shortening convergence time for wide-area PPP-RTK positioning by adding a low-earth-orbit augmentation layer on top of the standard GNSS correction network.Filed by National Time Service Center, Chinese Academy of Sciences — published 2024-01-18.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US8193981B1 | Coordinated sensing and precision geolocation of target emitter | 237 |
| 2 | US7400956B1 | Satellite position and heading sensor for vehicle steering control | 103 |
| 3 | US20120086598A1 | Apparatus and methods for driftless attitude determination and reliable localization of vehicles | 86 |
| 4 | US20190204450A1 | Method of checking the integrity of the estimation of the position of a mobile carrier in a satellite-based p… | 53 |
| 5 | US20210223406A1 | Precise Point Position and Real-Time Kinematic (PPP-RTK) Positioning Method and Device | 52 |
| 6 | WO2006108227A1 | Improved phase ambiguity resolution using three GNSS signals | 50 |
| 7 | US20060022870A1 | Land-based local ranging signal methods and systems | 39 |
| 8 | US20190391274A1 | Real-time kinematic using standalone global navigation satellite system receiver | 24 |
| 9 | US7339525B2 | Land-based local ranging signal methods and systems | 24 |
| 10 | US20160313450A1 | Automotive GNSS real time kinematic dead reckoning receiver | 23 |
Citation counts reward older filings that have had more time to accumulate citations within the searched corpus — read them as a signal of influence, not of which approach is currently strongest.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Browse MCP servers →What the numbers mean for a filing decision
Three read-outs from the same dataset, each pointing to a different practical question: where the claim space is crowded, where it's thin, and where citations suggest lasting influence.
The core claim space is already staked
With just five assignees holding 55.4% of all 74 records in scope, and ten holding 74.3%, new entrants filing squarely inside G01S convergence-time and ambiguity-resolution claims are filing into occupied territory. That doesn't mean the technology is exhausted — high filing density signals occupied claim space, not technical maturity — but it does mean freedom-to-operate work matters more than novelty searches alone.
A field that consolidated rather than kept expanding
The 2018 peak followed by a decline to the 2022 midpoint suggests the early wave of foundational filings has largely concluded, with remaining activity now incremental. Given the 18-month publication lag, recent years will revise upward, but the shape of a peak-then-plateau is unlikely to reverse entirely.
Adjacent classes remain thin
G06K, G06T, G06V and H04W each sit at 4-5% of records, well below G01S's dominance. That gap is where correction-delivery bandwidth, sensor-fusion and wireless-network integration claims have room that pure positioning claims do not.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to ppp-rtk for vehicle positioning, with the prior art for and against each one.
Who holds the claim space, and where the gate still stands open
The 31 ranked assignees cover the whole of the assignee ranking the dataset returns — not a top-50 or top-100 cut. Momentum has cooled across the board: every one of the assignees checked for recent-year activity shows zero filings in the latest year, consistent with the broader flat-to-declining trend.
A single filer well ahead of the field
The leading assignee holds 13 of the 74 records in scope, roughly three times the fifth-place count of 4. That gap between first and fifth is wider than the gap from fifth to tenth (4 down to 2), suggesting one dominant filer sits above a more evenly matched group.
A competitive middle tier
Between fifth and tenth place the count only halves, from 4 to 2, pointing to several assignees filing at a similar, moderate pace rather than one clear runner-up. This tier is where co-assignee collaboration shows up most, including pairs filing together on convergence-time claims.
A small collaboration network around individual inventors
Eight co-assignee pairs appear in the dataset, with the strongest three pairs each sharing 4 records. This points to a compact group of named inventors working jointly across filings, rather than broad cross-company joint ventures.
| Assignee | Recent year | YoY |
|---|---|---|
| Beijing Future Navigation Technology Co., Ltd. | 0 | — |
| NavCom Technology, Inc. | 0 | — |
| NOVARIANT INC | 0 | — |
| ZEPHR XYZ INC | 0 | — |
| Disney Enterprises, Inc. | 0 | — |
| WANG CHAOCHAO | 0 | — |
| ESLINGER DANIEL J | 0 | — |
| DAI LIWEN | 0 | — |
Where to take this analysis next
The dataset points to specific follow-up questions rather than a single conclusion. These are the ones worth running before committing to a filing strategy.
Check freedom-to-operate against the top 10 first
With 74.3% of records held by ten assignees, a targeted FTO review of that group's claims will surface most of the real blocking risk before a broader search is needed.
Run a claims comparison in EurekaTrack the 2023-2026 filings as they publish
Given the 18-month publication lag, the apparent decline after 2018 needs revisiting once recent filings clear publication — set a watch on new entrants in this window.
Set up a filing alert in EurekaTest claim language in the under-claimed branches
Correction-delivery bandwidth and LEO-augmented convergence shortening show thin coverage relative to the G01S core; drafting a claim there and checking it against the full corpus is a fast way to gauge real white space.
Draft and check claims in EurekaCommon questions about PPP-RTK vehicle positioning patents
The dataset ranks 31 assignees by record count, with the top-ranked holder at 13 of the 74 records in scope and the fifth-place assignee at 4. That gap means one filer holds a clear lead, while positions five through ten are more closely matched, each holding 2-4 records. Because this is a ranking of patent families rather than raw filings, the counts reflect distinct inventions rather than continuation or multi-jurisdiction duplicates.
Filing peaked in 2018 at 16 records and had fallen to 3 by the 2022 midpoint, a pattern consistent with an early wave of foundational filings followed by consolidation rather than continued expansion. Recent years should be read cautiously, though: publication typically lags filing by around 18 months, so 2025 and 2026 figures will rise as pending applications publish. The honest read is 'flat to declining through the visible window, with the most recent years still incomplete.'
The overwhelming majority of records, 89.2% of the 74 in scope, classify under G01S, the subclass covering radar, sonar and positioning systems. Smaller shares appear in G06K, G06T and G06V (each 4-5%, covering data recognition and image processing) and H04W (4.1%, wireless communication networks), reflecting how PPP-RTK correction and convergence claims increasingly touch sensor fusion and network delivery alongside core positioning math.
The clearest gaps sit in the classes adjacent to the G01S core: correction-delivery bandwidth compression, wireless correction-network integration under H04W, and sensor-fusion approaches touching G06V, all of which cover only 3-4 records each versus G01S's 66. These are branches where the core positioning-math claims are already dense but the surrounding delivery and integration layers are not, making them a more realistic entry point for new filers than the convergence-time core itself.
The most-cited record, US8193981B1 on coordinated sensing and precision geolocation of target emitters, has accumulated 237 citations within this corpus, well ahead of the next closest at 103. High citation counts in a searched corpus favour older filings that have simply had more time to be cited, so this reflects historical influence on the field's foundational geolocation methods rather than current commercial relevance. Anyone drafting new claims in this area should still review it, since foundational claims of this vintage often anchor later infringement disputes.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.