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Automatic Emergency Braking Patent Landscape 2026

Automatic Emergency Braking Patent Landscape 2026
Competitive Landscape

Automatic Emergency Braking Patent Landscape in 2026

The automatic emergency braking (AEB) patent field is moderately concentrated, with NVIDIA Corp and Mobileye Vision Technologies nearly tied at the top and the five largest filers accounting for 45% of the hundred largest filers’ combined output. The field reached peak annual volume in 2022 and has since plateaued, while a 23% multi-year growth figure confirms the corpus is substantially larger than it was several years ago.

10,248
Patent families in scope
45%
Top-5 share of top-100 filers
+23%
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 and Mobileye lead a tightly contested top tier

NVIDIA Corp leads the

The top five filers — NVIDIA, Mobileye, Motional AD, Hyundai Motor, and HL Klemove — together hold 45% of the hundred largest filers’ combined total, indicating significant but not overwhelming concentration; a second tier of suppliers and OEMs from. Japan, Korea, Germany, and. China retains meaningful competitive ground.

Leading applicants
#ApplicantPatent familiesShare
1NVIDIA Corp1,203
2Mobileye Vision Technologies Ltd1,198
3Motional AD LLC653
4Hyundai Motor Co Ltd574
5HL Klemove Corp383
6LG Electronics Inc373
7Toyota Motor Corporation313
8Robert Bosch GmbH294
9Yinwang Intelligent Technologies Co Ltd242
10Subaru Corporation214
#ApplicantPatent familiesShare
11Denso Corporation147
12Astemo Ltd129
13Hyundai Mobis Co Ltd126
14Nissan Motor Co Ltd124
15Magna Electronics Inc120
16Renault SA98
17Suzuki Motor Corporation95
18China FAW Co Ltd94
19Advics Co Ltd90
20Honda Motor Co Ltd89
↗ Hover a row · click a company to ask Eureka

The near-parity between NVIDIA and Mobileye at the top reflects two distinct strategic postures: NVIDIA anchors in GPU-based image and AI inference pipelines, while Mobileye emphasizes full-stack vehicle control and navigation — implying that neither pure silicon nor pure software integration is yet decisive.

Filings from 2024 onward are subject to publication lag and will be revised upward as applications are published; they should not be read as indicators of declining R&D investment. 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

Peak-year volume has eased, but hybrid vehicle control dominates the technology mix

Two charts together capture where AEB innovation has been and where it is technically concentrated: the annual filing trend shows a corpus that grew sharply through 2022 and has since plateaued, while the IPC composition reveals that joint vehicle-control logic (B60W) vastly outweighs any single perception or braking sub-class.

Annual filing trend

Annual filings climbed from 502 in 2017 to a peak of 1,687 in 2022, then moderated to 1,565 in 2023. Figures for 2024–2026 are understated due to publication lag and should not be interpreted as a real decline; the multi-year corpus growth of 23% confirms the field remains substantially active.

Annual filing trendAnnual values from 2017 to 2026, peaking at 1,687 in 2022.502201758420181,05920191,19320201,36120211,68720221,56520231,204202490820251852026↗ Hover for values · click a bar to ask Eureka

Technology composition

B60W (hybrid/joint vehicle control) accounts for the largest share of IPC records by a wide margin, reflecting the systems-integration character of AEB. G06V (image/video recognition) and G08G (traffic control systems) form a meaningful second tier, followed by G05D (non-electric variable control) and B60T (vehicle brakes and braking) — the latter being the most directly mechanical branch and notably smaller than the perception and control classes above it.

Technology compositionB60W · Hybrid/joint vehicle control leads with 8,761; G06V · Image/video recognition 2,496.B60W · Hybrid/joint vehi…8,761G06V · Image/video recog…2,496G08G · Traffic control s…1,922G05D · Control of non-el…1,878B60T · Vehicle brakes & …1,147G06T · Image data proces…1,044G01C · Distance, navigat…1,021G06N · Computing based o…1,011↗ 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
US20230054608A1Published 2023-02-23

Automatic Emergency Braking for a Path-Crossing Ta…

Aptiv Technologies AG

Techniques are described that enable automatic emergency braking (AEB) for a path-crossing target when a collision between a host vehicle and the target that is deemed imminent. Based on whether an acceleration of the host vehicle is above a threshold. Based on the acceleration, and, optionally, a location of the target relative to a crossing path (e.g… (excerpt from the patent abstract)

Automatic Emergency Braking for a Path-Crossing Ta… — patent drawingAutomatic Emergency Braking for a Path-Crossing Ta… — 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
2A Method and Apparatus for Collecting and Using Se…596
3Autonomous vehicle speed calibration476
4Vehicle control system with traffic driving control450
5Safety procedure analysis for obstacle avoidance i…388
6Behavior-guided path planning in autonomous machin…349
7Real-time detection of lanes and boundaries by aut…347
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 AEB patent structure means for R&D allocation

The corpus structure points to a maturing, systems-integration-heavy field where competitive advantage is shifting from broad claim staking toward differentiated perception stacks, geographic coverage, and collaborative supply-chain positioning.

Maturity

Field is at a maturity plateau following a 2022 peak

The lifecycle evidence classifies AEB as a mature technology: annual filings plateaued near their 2022 peak of 1,687 and have eased since, while the multi-year corpus still shows 23% growth. In a plateau phase, broad foundational claims are largely staked; incremental differentiation in sensor fusion, edge-AI inference, and fail-operational architectures is where new IP value is most likely to be created. New entrants face a high prior-art burden in core B60W and G06V classes.

Maturity · Plateau
Concentration

Dual leaders, then a broad mid-field

NVIDIA and Mobileye form a near-tied leading pair, with Motional AD a credible third. Below rank three, the field opens into a large mid-tier of OEMs and Tier-1 suppliers — Hyundai, HL Klemove, LG Electronics, Toyota, Bosch — each holding meaningful but substantially smaller positions. This two-tier structure suggests that a challenger can realistically build a defensible niche portfolio without displacing the top two, particularly in application-specific or geographic sub-domains.

Concentration · Dual leaders
Collaboration

Hyundai–Kia axis dominates co-filing; Toyota pairs with suppliers and academia

The most active co-filing relationship in the corpus is Hyundai Motor with Kia (466 joint families), a figure that dwarfs all other pairs and reflects a tightly integrated group IP strategy. Toyota co-files with Advics (90), the University of Tokyo (12), and Tokyo University of Agriculture and Technology (12), suggesting a hybrid approach spanning supply-chain integration and academic research. Hyundai Motor also collaborates with Asia University (19) and Hyundai Autoever (16), broadening its ecosystem beyond internal group companies.

Collaboration · Hyundai–Kia axis
Geography

US leads filings; China is a close second with strong domestic momentum

The United States is the primary filing jurisdiction, followed by China and then Europe (EPO) and Germany. Japan and WIPO (PCT) form a next tier. China’s position as second-largest jurisdiction, combined with the presence of Chinese OEMs — FAW, Chery, Geely, Changan, Dongfeng — throughout the applicant list, signals that domestic Chinese AEB IP is growing and that global filers must assess both freedom-to-operate and competitive positioning in that market separately from Western filings.

Geography · US + China dual hubs
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Top collaboration links
ApplicantCollaboratorCo-filings
Hyundai Motor Co LtdKia Corporation466
Toyota Motor CorporationAdvics Co Ltd90
Hyundai Motor Co LtdKia Corporation41
Hyundai Motor Co Ltd亚洲大学校产学协力团19
Kia Corporation亚洲大学校产学协力团17
Hyundai Motor Co LtdHyundai Autoever Corporation16
Kia CorporationHyundai Autoever Corporation12
Toyota Motor CorporationContinental Autonomous Mobility Germany GmbH12
Toyota Motor CorporationUniversity of Tokyo12
Toyota Motor CorporationTokyo University of Agriculture and Technology12

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

Source: PatSnap Eureka. Collaboration counts reflect co-applicant patent families; jurisdiction counts are at the patent-record level.Explore insights →
Leaders

NVIDIA leads on AI perception; Mobileye on full-stack vehicle control

The two top filers approach AEB from distinct technical directions, and their recent momentum diverges sharply — NVIDIA is accelerating while Mobileye has pulled back — creating an opening for challengers in the middle tier.

Leader · NVIDIA Corp

NVIDIA Corp

NVIDIA holds 1,203 patent families and is filing at an accelerating pace, with recent filings up +54% versus the prior period. Its technical emphasis is squarely on image and video recognition (G06V 20 and G06V 10, with 672 and 524 families respectively) and AI model computing (G06N 3, 446 families), reflecting a strategy of embedding GPU-based inference into the AEB perception stack. This positions NVIDIA as the dominant filer in the sensor-data-to-decision layer of AEB architecture.

patent families: 1,203
Challenger · Mobileye Vision Technologies Ltd

Mobileye Vision Technologies Ltd

Mobileye holds 1,198 patent families — virtually level with NVIDIA — but its recent trend is down –52%, indicating a deliberate shift in filing strategy or portfolio consolidation rather than a loss of technical capability. Mobileye’s emphasis falls on full-stack vehicle control (B60W 30, 673 families), navigation and positioning (G01C 21, 611 families), and autonomous control systems (G05D 1, 535 families), making it the reference filer for end-to-end AEB system integration rather than the perception-only layer.

patent families: 1,198
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Motional AD LLCHyundai Motor Co Ltd+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
NVIDIA Corp627▲ +54%
Mobileye Vision Technologies Ltd226▼ -52%
Motional AD LLC525▲ 5.1× vs prior 3-yr
Hyundai Motor Co Ltd194▲ +20%
LG Electronics Inc16▼ -93%
Toyota Motor Corporation221▲ 4.4× vs prior 3-yr
Robert Bosch GmbH102▲ +26%
Source: PatSnap Eureka. Player cards cite patent-family counts from the applicant ranking; momentum trends reflect recent versus prior three-year filing volumes.Explore players →
Adjacent Branches

Under-served branches adjacent to the AEB core

The IPC branches below are present in the corpus but hold lower relative share than the dominant B60W and G06V classes; they are observations of relative sparsity adjacent to the AEB core, not validated market opportunities. Where plausible technical value and a realistic entry path exist, that is noted.

B60T · Vehicle Brakes & Braking

B60T accounts for only about 4% of IPC records despite being the most mechanically direct class for emergency braking actuation. The corpus is dominated by software and perception layers, leaving brake-hardware integration — electro-hydraulic actuators, brake-by-wire fail-safety, and pedal-feel emulation under autonomous override — comparatively sparse. An entrant with Tier-1 braking hardware expertise could file in this branch with lower prior-art density than in B60W or G06V, provided the work links actuation directly to AEB control logic.

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G01C · Distance, Navigation & Gyroscopes

G01C covers positioning and navigation, and its 1,021 IPC records represent only 4% of the corpus despite being foundational to reliable threat-distance estimation. Coverage in map-aided localization, HD-map uncertainty quantification, and multi-constellation GNSS fusion for AEB triggering appears sparse relative to the perception-layer classes above it. Organizations with positioning or mapping expertise — particularly for urban canyon and tunnel degraded-GNSS scenarios — may find this branch offers a defensible adjacency to the core AEB space.

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G06T · Image data processing & generationG08G · Traffic control systems+ more
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Source: PatSnap Eureka. Branch counts are at the patent-record level; lower share relative to dominant classes indicates relative filing sparsity, not absence of prior art.Explore emerging →
Route Matrix

How leaders differ by technology route

Strength of each leader across the main technology routes.

PlayerB60W 30 · Hybrid/joint vehicle controlB60W 50 · Hybrid/joint vehicle controlB60W 40 · Hybrid/joint vehicle controlB60W 60 · Hybrid/joint vehicle controlG06V 20 · Image/video recognition
Mobileye Vision Technologies LtdStrong · 673Moderate · 262Moderate · 187Moderate · 328Strong · 409
NVIDIA CorpModerate · 212Moderate · 154Moderate · 138Strong · 377Strong · 672
Hyundai Motor Co LtdStrong · 363Moderate · 176Moderate · 146Moderate · 171Moderate · 94
Motional AD LLCStrong · 166Moderate · 136Moderate · 80Strong · 310Strong · 215
LG Electronics IncStrong · 133Strong · 139Strong · 113Strong · 85Moderate · 48
Toyota Motor CorporationStrong · 203Strong · 153Moderate · 78Moderate · 68Absent
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.

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