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High-Definition Mapping Patent Landscape 2026

High-Definition Mapping Patent Landscape 2026
Competitive Landscape

High-Definition Mapping Patent Landscape in 2026

The HD mapping patent field is still expanding on a multi-year basis, though annual volume has eased from its 2023 peak, with 4,942 patent families in scope and filings concentrated heavily in the United States. NVIDIA holds a commanding lead with nearly three times the portfolio of the second-ranked filer, pointing to a sharply tiered competitive structure dominated by a handful of technology-platform players.

4,942
Patent families in scope
46%
Top-5 share of top-100 filers
+6%
3-yr filing growth (lag-adj.)
United States
Leading jurisdiction
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Published byPatSnap Insights Team··7 min readVerified by PatSnap Eureka data
Overview

NVIDIA leads a highly concentrated field

NVIDIA Corporation is the clear leader in HD mapping IP, ranking first among all applicants. The top five filers together account for 46% of the combined output of the hundred largest filers, confirming that a small group of technology and automotive-software companies sets the competitive agenda.

A pronounced tier gap separates NVIDIA from the chasing pack: Mobileye Vision Technologies ranks second, followed by LG Electronics, HERE Global, and Qualcomm—each with portfolios between roughly one-fifth and one-third the size of NVIDIA’s. Beyond this top tier, the field disperses rapidly across automakers, Tier-1 suppliers, and autonomous-driving start-ups.

Leading applicants
#ApplicantPatent familiesShare
1NVIDIA Corporation996
2Mobileye Vision Technologies Ltd308
3LG Electronics Inc270
4HERE Global BV231
5Qualcomm Incorporated212
6TORC Robotics Inc205
7Baidu USA LLC134
8Nissan Motor Co Ltd105
9Aurora Operations Inc83
10Toyota Motor Corporation77
#ApplicantPatent familiesShare
11PlusAI Inc69
12Hyundai Motor Co Ltd69
13Ford Global Technologies LLC65
14Renault SA60
15GM Global Technology Operations LLC58
16Samsung Electronics Co Ltd57
17HL Klemove Corp54
18Aptiv Technologies AG50
19Nissan North America Inc47
20Five AI Ltd44
↗ Hover a row · click a company to ask Eureka

NVIDIA’s concentration in image and video recognition (G06V) combined with AI model computing (G06N) signals a platform approach—building perception and inference infrastructure that underpins many downstream HD mapping applications. This breadth makes it difficult for single-application specialists to match NVIDIA’s cross-domain coverage.

The most recent 18–24 months of data are subject to publication lag and are likely under-counted; trend readings for 20242026 should be treated as provisional. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: PatSnap Eureka. Chart shows the top applicants ranked by patent families. Applicant counts can overlap where a patent family lists several applicants, so they need not sum to the total in scope.Explore deeper in Eureka →
Trends & Structure

Multi-year growth with a 2023 peak and a broad technology base

Two structural features define the HD mapping landscape: a filing trajectory that climbed sharply from 2017 to a 2023 peak before easing, and a technology mix anchored in vehicle control and machine-vision classes with a long tail of adjacent branches.

Annual filing trend

Filings accelerated rapidly from 156 in 2017 to a peak of 813 in 2023, reflecting the surge in autonomous-vehicle R&D investment over that period. The subsequent drop in 2024 and the low 2025–2026 counts are consistent with normal publication lag and should not be read as a sustained decline. On a recent three-year versus prior three-year comparison, the field remains 6% ahead, confirming continued net expansion.

Annual filing trendAnnual values from 2017 to 2026, peaking at 813 in 2023.156201731420186612019709202063820216742022813202363820242872025522026↗ Hover for values · click a bar to ask Eureka

Technology composition

Hybrid and joint vehicle control (B60W) is the single largest class, reflecting the systems-integration focus of most HD mapping patents. Image and video recognition (G06V), autonomous navigation (G05D), and distance/navigation instruments (G01C) form a dense core cluster. AI model computing (G06N) and general digital data processing (G06F) are present in meaningful volumes, while traffic control (G08G), radar and positioning (G01S), and wireless networks (H04W) round out the secondary tier. The long tail of low-count classes—spanning agriculture, robotics, and UAVs—indicates exploratory cross-domain filing rather than established sub-fields.

Technology compositionB60W · Hybrid/joint vehicle control leads with 2,979; G06V · Image/video recognition 1,755.B60W · Hybrid/joint vehi…2,979G06V · Image/video recog…1,755G05D · Control of non-el…1,705G01C · Distance, navigat…1,303G06T · Image data proces…899G06N · Computing based o…818G06F · Electric digital …717G08G · Traffic control s…689↗ Hover for values · click a bar to ask Eureka
Source: PatSnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
US20220349725A1Published 2022-11-03

High definition mapping for autonomous systems and…

Nvidia Corporation

In various examples, a high definition (HD) map is provided that includes a segmented data structure that allows for selective access to desired road segments and corresponding layers of map data. For example, the HD map may be segmented into a series of tiles that may correspond to a geographic region, and each of the tiles may include any number of road… (excerpt from the patent abstract)

High definition mapping for autonomous systems and… — patent drawingHigh definition mapping for autonomous systems and… — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Systems and methods for safe and reliable autonomo…1,021
2Autonomous vehicle system647
3Autonomous vehicle speed calibration476
4Safety procedure analysis for obstacle avoidance i…388
5Behavior-guided path planning in autonomous machin…349
6Real-time detection of lanes and boundaries by aut…347
7Event data recordation to identify and resolve ano…330
8Systems and methods for computer-assisted shuttles…325

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: PatSnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Insights

What the structure means for HD mapping R&D investment

United States shapes the risk and opportunity profile for any new entrant or fast-follower in this space.

Growth

Growth stage with easing annual volume

The lifecycle evidence classifies HD mapping as a Growth-stage field. Multi-year filing volume remains ahead of the prior three-year window, but annual output eased after the 2023 peak. New entrants can still establish meaningful positions, though differentiation is increasingly necessary as core perception and control classes fill up.

Growth stage
Concentration

Sharp tier gap favors incumbents

The top five filers hold 46% of the hundred largest filers’ combined output, and NVIDIA alone accounts for a disproportionate share of that. This level of concentration means that freedom-to-operate analysis is essential before committing R&D resources to the core B60W and G06V classes. Adjacent or application-specific branches carry lower blocking risk.

High concentration
Collaboration

Nissan–Renault alliance dominates co-filing

The most active co-filing pair is Nissan North America and Renault, with 52 jointly filed patent families—consistent with the Renault-Nissan-Mitsubishi Alliance’s shared autonomous-driving programs. A secondary collaboration links Nissan North America with the University of Massachusetts (15 families), indicating academic partnership on foundational research. Mobileye Vision Technologies and Intel have four co-filed families, reflecting their ownership relationship. Other pairings are sparse, suggesting the broader ecosystem operates largely through independent filing rather than formal IP alliances.

Alliance-driven
Geography

US-centric with limited Asia-Pacific presence

The United States accounts for the largest share of patent records, followed by the European Patent Office and WIPO PCT filings. China ranks fourth, while Germany, India, and the United Kingdom form a secondary tier. South Korea and Japan—home to major automotive OEMs active in the ranking—show notably lower record counts, suggesting that many Asia-Pacific players are prioritizing US and European protection over domestic filings. Entrants targeting Asian markets may find relatively lower patent density in those jurisdictions.

US-dominant
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Top collaboration links
ApplicantCollaboratorCo-filings
Nissan North America IncRenault SA52
Nissan North America Inc马萨诸塞大学15
Baidu USA LLCBaidu Netcom Science & Technology (Beijing) Co Ltd14
Mobileye Vision Technologies LtdIntel Corporation4
Nissan North America IncNASA2

Co-filing pairs, ranked by the number of jointly-filed patent families.

Source: PatSnap Eureka. Insights derived from applicant ranking, collaboration pairs, lifecycle stage, and jurisdiction distribution in the HD mapping corpus.Explore insights →
Leaders

NVIDIA accelerates; Mobileye and LG Electronics pull back sharply

The momentum data reveal a bifurcating competitive landscape: compute-platform players are increasing their filing pace while several established automotive-software and OEM-adjacent filers have significantly reduced recent activity.

Leader · NVIDIA Corporation

NVIDIA Corporation

NVIDIA leads the corpus with 996 patent families and is accelerating: recent filings are up 74% versus the prior three-year period. Its technology emphasis is concentrated in image and video recognition (G06V 20 and G06V 10) and AI model computing (G06N 3), reflecting a perception-infrastructure strategy that spans autonomous vehicles, robotics, and simulation. This broad platform approach, combined with rising filing momentum, widens the gap between NVIDIA and all other applicants.

families: 996
Challenger · Qualcomm Incorporated

Qualcomm Incorporated

Qualcomm ranks fifth with 212 patent families and is gaining momentum at +67% in recent filings versus the prior three-year window. Its focus spans image recognition (G06V 20), autonomous vehicle control (B60W 60), and navigation control (G05D 1), positioning it as a semiconductor and connectivity challenger targeting the edge-compute layer of HD mapping systems. This trajectory contrasts with the declining momentum seen at Mobileye (down 74%) and LG Electronics (down 88%), suggesting Qualcomm is the most credible near-term challenger among the established names.

families: 212
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HERE Global BVTORC Robotics Inc+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
NVIDIA Corporation497▲ +74%
Mobileye Vision Technologies Ltd35▼ -74%
LG Electronics Inc26▼ -88%
HERE Global BV59▼ -47%
Qualcomm Incorporated117▲ +67%
TORC Robotics Inc181▲ new entrant
CreateAI Inc130▲ 6.8× vs prior 3-yr
Baidu USA LLC5▼ -95%
Source: PatSnap Eureka. Player cards combine patent family counts from the applicant ranking with recent filing momentum and technology focus data.Explore players →
Adjacent Branches

Under-served branches adjacent to the HD mapping core

Several IPC classes sit at meaningful absolute volumes but hold lower shares relative to the dominant B60W and G06V clusters, suggesting they remain less contested within this corpus. These are observations of relative sparsity; technical merit and entry paths vary by branch.

G08G · Traffic control systems

G08G holds 689 patent records—substantial in absolute terms but only 5% of the IPC distribution—placing it below the core perception and control classes. HD mapping data feeding into real-time traffic management and vehicle-to-infrastructure signaling is a plausible extension. Entry paths could involve co-development with road operators or smart-city infrastructure vendors, where incumbent HD mapping players have limited existing coverage.

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G01S · Radar, sonar & positioning

G01S (radar, sonar, and positioning) appears 527 times in the corpus but accounts for only 4% of the IPC distribution, despite LiDAR and radar being foundational HD mapping sensors. The relative sparsity may reflect that sensor hardware is patented separately from mapping software. Teams working on sensor-map fusion, long-range radar localization, or 4D radar HD map generation could find a less crowded claim space within this branch.

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Unlock the full white-space map
See all under-served IPC branches, claim-level gaps, and suggested search strategies for the HD mapping landscape.
H04W · Wireless communication networksG06K · Data recognition & presentation+ more
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Source: PatSnap Eureka. Adjacent branch analysis is based on relative IPC share within the HD mapping patent corpus; lower share indicates fewer patents in this corpus, not necessarily lower commercial activity overall.Explore emerging →
Route Matrix

How leaders differ by technology route

Strength of each leader across the main technology routes.

PlayerB60W 60 · Hybrid/joint vehicle controlG05D 1 · Control of non-electric variablesG06V 20 · Image/video recognitionB60W 30 · Hybrid/joint vehicle controlG01C 21 · Distance, navigation & gyroscopes
NVIDIA CorporationStrong · 300Strong · 260Strong · 505Moderate · 152Emerging · 80
Mobileye Vision Technologies LtdModerate · 98Strong · 134Moderate · 77Strong · 207Strong · 155
LG Electronics IncStrong · 78Strong · 122Moderate · 56Strong · 89Strong · 84
HERE Global BVModerate · 61Strong · 97Moderate · 62AbsentStrong · 129
Qualcomm IncorporatedStrong · 68Strong · 51Strong · 72Strong · 46Moderate · 31
TORC Robotics IncStrong · 133AbsentModerate · 56Moderate · 58Absent
DeepMap IncAbsentStrong · 116AbsentAbsentStrong · 99
Source: PatSnap Eureka. Matrix values are measured in patent records and should not be compared directly with family-level applicant totals.Compare in Eureka →
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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.

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