Book a demo

USV Path Planning Patents: Leaders, Trends & White Space 2026

USV Path Planning Patents: Leaders, Trends & White Space 2026
https://www.patsnap.com/resources/blog/rd-blog/marine-autonomy-and-navigation-unmanned-surface-vessel-path-planning-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Marine Autonomy & Navigation Patent Landscape
Unmanned Surface Vessel Path Planning Patents
  • 19.2% concentration at the top. The five leading assignees hold 218 of 1,137 records in scope, with a long tail of single- and few-filing entrants behind them.
  • Filing is still climbing, not cooling. Annual filings rose 65% from 2021 (71) to 2024 (117), the most recent year the data can treat as complete.
  • Ships and control classes dominate, sensing lags behind. B63B and G05D together sit on roughly a third and a fifth of all records respectively, while G01C navigation/gyroscope filings hold just 6.1%.
Get a prior-art report on your approach
1,137
Published Records
19%
Top-5 Share of All Records
+65%
Filing Growth 2021→2024
CN
Leading Jurisdiction

Filing growth compares 2021 (71 records) with 2024 (117) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 1,137 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Field Overview

What this landscape covers

This landscape tracks patent activity in unmanned surface vessel (USV) path planning and autonomous marine navigation — the control, routing and sensing systems that let a surface vessel operate without a human pilot aboard. The scope spans hull and vessel-class filings (B63B), non-electric control systems (G05D), naval and offensive applications (B63G), and the radar, sonar and geophysical sensing that feeds a planning stack (G01S, G01V). It also captures adjacent propulsion, launch-and-recovery and gyroscopic navigation filings that support the same autonomy loop.

The 1,137 records in scope run from 2015 through the 2026 cut-off, with China, the United States, WIPO, Europe, Australia and Germany as the principal receiving offices. Because publication lags filing by roughly 18 months, the most recent one to two years of the trend are still filling in and should be read as a floor, not a ceiling.

Filing activity and technology composition, 2015–2026
  1. 1AXON ENTERPRISE INC67
  2. 2KONGSBERG MARITIME AS42
  3. 3A P MOLLER AS40
  4. 4HARBIN ENG UNIV36
  5. 5PXGEO UK LTD33
  6. 6WUHAN UNIV OF TECH30
  7. 7DALIAN MARITIME UNIVERSITY29
  8. 8KING ABDULLAH UNIV OF SCI & TECH28
  9. 9EXAIL ROBOTICS25
  10. 10BP EXPLORATION OPERATING CO LTD23
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Marine Autonomy & Navigation — Unmanned-Surface-Vessel Path Planning Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Data

Filing trend and technology composition

Two views of the same 1,137-record dataset: how filing volume has moved year over year, and how records distribute across the IPC subclasses that define the field's technical core.

Filing trend, 2017–2026

Filings peaked so far in 2017 at 138, dipped, then rebuilt: 2021 to 2024 shows a 65% rise (71 to 117), the last span the dataset can treat as complete before publication lag starts thinning the count.

Filing trend, 2017–202603875113150138201720182019202020212022202320242025342026Most recent year is partial — publication lag means later filings are not yet visible.

Technology composition by IPC subclass

B63B (ships and marine vessels) covers 32.9% of the 1,137 records and G05D (non-electric variable control) 22.8%, confirming that hull-and-control filings outweigh the sensing classes (G01S 10.7%, G01V 10.6%) that actually generate the perception data a path planner consumes.

Technology composition by IPC subclassB63B · Ships & marine vessels37432.9%G05D · Control of non-electric variab…25922.8%B63G · Naval vessels & offensive16714.7%G01S · Radar, sonar & positioning12210.7%G01V · Geophysics & gravity surveying12010.6%B63H · Marine propulsion & steering968.4%B63C · Launching & salvaging vessels696.1%G01C · Distance, navigation & gyrosco…696.1%Other75566.4%

Shares are the percentage of the 1,137 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Marine Autonomy & Navigation — Unmanned-Surface-Vessel Path Planning Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

Go deeper on Marine Autonomy & Navigation — Unmanned-Surface-Vessel Path Planning Patent Landscape with Eureka

This page is one run against one query. Ask Eureka your own question about marine autonomy & navigation — unmanned-surface-vessel path planning patent landscape and every answer comes back with the patent numbers behind it.

Try Eureka
Key Patents

Representative and most-cited filings

Representative Filing
US20190312461A12019-10-10

Cooperative charging between an unmanned aerial vehicle and an unmanned surface vessel

GUANGDONG INSTITUTE OF INDUSTRIAL TECHNOLOGY, HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

A method and system for cooperative charging between an unmanned aerial vehicle and an unmanned surface vessel: the aerial vehicle captures imagery of the surface vessel, analyses the relative position of a capture device and the vessel's velocity, approaches and hovers within capture range, then either the surface vessel or the aerial vehicle completes the docking and recapture sequence if the first attempt misses the range.Filed by Guangdong Institute of Industrial Technology and Huazhong University of Science and Technology, published 2019-10-10.

US20190312461A1 — patent drawing 1
View full filing
Most-cited records in the corpus
#Publication no.Patent titleCitations
1US20220004191A1USV formation path-following method based on deep reinforcement learning176
2WO2019126755A1Generating and classifying training data for machine learning functions104
3US20160121983A1Deployment and retrieval of seismic autonomous underwater vehicles81
4CN107085427A一种基于领导跟随结构的无人水面艇编队控制方法73
5US20180364740A1Systems and methods for charging unmanned aerial vehicles on a moving platform71
6US20160124105A1Touch down monitoring of an ocean bottom seismic node66
7WO2017167905A1A boat or ship with a collision prevention system59
8US20170225760A1System and Method For Fusion of Sensor Data to Support Autonomous Maritime Vessels57
9CN107168335A一种考虑混合多目标避障的水面无人艇路径跟踪制导方法55
10US20120192779A1Autonomous maritime container system54

Citation counts inside this corpus favour older filings and are a signal of influence, not of current commercial weight; several of the most-cited records here predate the 2021–2024 filing surge.

Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Marine Autonomy & Navigation — Unmanned-Surface-Vessel Path Planning Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Run it yourself

Put your own technology through the same analysis

 
Where to run it
Fastest

Eureka on the web

When you want the answer in the next five minutes.

The agent works the prompt against patents and technical literature, citing every source.

Run your analysis now →
For builders

MCP server & REST API

When it has to run inside your own pipeline.

Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.

Browse MCP servers →
Insights

What the numbers mean for a filing decision

Three readings of the same dataset, aimed at where to file, who to watch and what the citation data actually supports.

Concentration
19.2%
of all 1,137 records held by the top 5 assignees

The top of the field is not crowded

Nineteen percent held by five assignees, rising to 31.0% across ten, leaves the majority of records spread across a long tail of single- and few-filing entrants. That is room for a new entrant to build a defensible position without displacing an incumbent, provided the claim sits outside the dense B63B/G05D core.

Based on the 100-company ranking returned by the dataset.
Momentum
+65%
filing growth, 2021 to 2024

Growth is real, not a publication artefact

The rise from 71 filings in 2021 to 117 in 2024 sits inside the window the dataset can treat as complete, so it reflects genuine filing behaviour rather than a lag effect. Read 2025 and 2026 figures as still filling in, not as a slowdown.

2025–2026 figures will revise upward as publications catch up.
Composition
6.1%
of records in G01C (navigation & gyroscopes)

Sensing and precision-navigation claims are the thin layer

Vessel-class and control claims (B63B, G05D) dominate the corpus, while the dedicated navigation/gyroscope class (G01C) and launch-and-recovery class (B63C) each sit at 6.1% and 6.1% of records. That gap is where a precision-navigation or recovery-mechanism claim is less likely to collide with existing art.

IPC shares sum above 100% because records carry multiple classes.
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to marine autonomy & navigation — unmanned-surface-vessel path planning patent landscape, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Marine Autonomy & Navigation — Unmanned-Surface-Vessel Path Planning Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Who's Filing

Assignee landscape and momentum

The ranked leaders in this dataset span defence contractors, maritime equipment makers, university research institutes and offshore-survey specialists — a mix that reflects USV autonomy's dual civilian and naval applications.

Leader
67
records held by the top-ranked assignee

One filer well ahead of the field

The leading assignee's 67 records sit clear of fifth place at 33 and tenth place at 23, a gap that signals a sustained, multi-year filing programme rather than a single opportunistic burst.

Counted in patent families across the 1,137-record corpus.
University filers
Multiple
research institutes among the ranked leaders

Academic institutes are active, not peripheral

Chinese maritime universities and research institutes appear repeatedly through the ranking, filing alongside commercial equipment makers and defence-linked entities — a pattern typical of a field still moving from research into deployable hardware.

Institution names are rendered in English in the assignee table.
Collaboration
9
co-assignee pairs identified

Joint filing is rare but concentrated

Only nine co-assignee pairs appear across the dataset, with the strongest pair filing 10 records together — evidence that most work here is filed solo, and that the handful of joint programmes that exist run deep rather than wide.

Strongest pair: Blue Ocean Seismic Services with a BP exploration subsidiary.
🔍
Under-claimed sub-areas
Branches with filing activity well below the core B63B/G05D claim space
USV–UAV cooperative recovery mechanismsgyroscopic dead-reckoning fallback modulesseismic-sensor deployment/retrieval sequencingmulti-vessel formation hand-off protocolslaunch-and-recovery docking geometry
Rank all filers by momentum →
Recent-year filing momentum
AssigneeRecent yearYoY
Harbin Engineering University50%
Exail Enterprise Corporation1-86%
Dalian Maritime University1-75%
Applied Physical Sciences Corp.0
Kongsberg Maritime AS0-100%
SEABED GEOSOLUTIONS BV0
Wuhan University of Technology0-100%
King Abdullah University of Science and Technology0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Marine Autonomy & Navigation — Unmanned-Surface-Vessel Path Planning Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this analysis

The dataset points to specific next steps depending on whether the goal is freedom-to-operate, portfolio strategy or competitive tracking.

Map claim boundaries before filing

With B63B and G05D covering roughly a third and a fifth of records respectively, a new filing in vessel control needs a claim search against the densest part of this corpus before drafting, not after.

Run a claim search in Eureka

Track the leading assignee's programme

A 67-record leader with a multi-year lead is worth monitoring for continuation filings and citation activity rather than treating as a one-time competitor snapshot.

Set up assignee monitoring in Eureka

Revisit the 2025–2026 trend once it settles

Because publication lag understates the most recent one to two years, re-pull the filing trend in six to twelve months before drawing conclusions about a slowdown.

Explore trend data in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Marine Autonomy & Navigation — Unmanned-Surface-Vessel Path Planning Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions on this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Marine Autonomy & Navigation — Unmanned-Surface-Vessel Path Planning Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

Research Marine Autonomy & Navigation — Unmanned-Surface-Vessel Path Planning Patent Landscape in depth with Eureka

Go past this page: query the whole marine autonomy & navigation — unmanned-surface-vessel path planning patent landscape corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.

Try Eureka

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.

Help us improve this page

Found incorrect or outdated information? Let us know and we'll get it fixed.