ADAS & Perception Patent Landscape 2026
The ADAS & Perception space has grown substantially on a multi-year basis, with the field still expanding though annual volume eased from its 2022 peak. Atieva leads a moderately concentrated field anchored in hybrid/joint vehicle control, with the United States as the dominant filing jurisdiction.
Atieva leads a field where the top five collectively hold a quarter of the hundred largest filers’ output
Atieva (US) holds the top position with 26 patent families, followed by GM Global Technology Operations with 18 and Stellantis Auto SAS with 15. The top five applicants — Atieva, GM, Stellantis, LG Electronics, and ClearMotion — together account for 25% of the combined output of the hundred largest filers.
The 25% top-five share among the leading hundred filers indicates moderate concentration: no single player dominates overwhelmingly, and a meaningful second tier — including Toyota, HL Klemove, Continental Autonomous Mobility, Mobileye, Samsung, and Nvidia each with 9–12 patent families — keeps competitive pressure distributed across OEMs, Tier 1 suppliers, and technology specialists.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | Atieva Inc. (Lucid Motors) | 26 | |
| 2 | GM Global Technology Operations LLC | 18 | |
| 3 | Stellantis Auto SAS | 15 | |
| 4 | LG Electronics Inc | 13 | |
| 5 | ClearMotion Inc | 13 | |
| 6 | Toyota Motor Corporation | 12 | |
| 7 | HL Klemove Corp | 10 | |
| 8 | Continental Autonomous Mobility Germany GmbH | 9 | |
| 9 | Mobileye Vision Technologies Ltd | 9 | |
| 10 | Samsung Electronics Co Ltd | 9 |
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 11 | Nvidia Corporation | 9 | |
| 12 | Astemo Ltd | 8 | |
| 13 | Aptiv Technologies AG | 8 | |
| 14 | Magna Electronics Inc | 7 | |
| 15 | Honda Research Institute Europe | 6 | |
| 16 | Huawei Technologies Co Ltd | 6 | |
| 17 | Centro Ricerche Fiat SCpA | 5 | |
| 18 | Intel Corporation | 5 | |
| 19 | Hyundai Motor Co Ltd | 5 | |
| 20 | Sikorsky Aircraft Corporation | 5 |
Atieva’s lead position, combined with GM and Stellantis close behind, signals that vehicle OEMs and their technology subsidiaries are driving the agenda, with Mobileye and Nvidia representing meaningful specialist-platform coverage. This mix suggests both vertical integration and platform-licensing strategies are active simultaneously.
The most recent 18–24 months of filings are understated due to patent publication lag and should not be interpreted as a slowdown in underlying activity. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Filings grew sharply through 2022 then eased; vehicle control dominates but vision and AI branches are substantial
The trend chart traces annual filing volume from 2017 to present, while the composition chart maps the distribution across IPC technology branches — together revealing both the pace of development and where technical effort is concentrated.
Annual filing trend
Filings climbed from 5 in 2017 to a peak of 78 in 2022, reflecting rapid field expansion. Post-2022 annual counts have eased to the 51–55 range, consistent with a maturing growth phase rather than a genuine contraction; 2025 and 2026 figures are further suppressed by publication lag and should not be read as a continued decline.
↗ Hover for values · click a bar to ask EurekaTechnology composition
B60W (hybrid/joint vehicle control) is the dominant branch by a wide margin, reflecting the integration of perception outputs into vehicle decision-making. G06V (image/video recognition) and G08G (traffic control systems) form a meaningful second tier, while G06N (AI models), G06K (data recognition), G05D (control of non-electric variables), and G06T (image processing) each represent substantial secondary areas — together confirming that computer-vision and AI inference are core technical pillars alongside motion control.
↗ Hover for values · click a bar to ask EurekaHighly 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.
Object detection in driver assistance system
A computer-implemented method for detecting objects within an advanced driver assistance system (ADAS) is provided. The method includes obtaining road scene datasets from a plurality of cameras, including at least road scene images and road scene data annotations, to be provided to an object detection neural network communicating with an open-vocabulary… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Systems and methods for vehicle control using terr… | 129 |
| 2 | Systems and methods for safe and reliable autonomo… | 115 |
| 3 | Camera system for intelligent driver assistance sy… | 88 |
| 4 | Systems and methods for safe and reliable autonomo… | 78 |
| 5 | Systems and methods for safe and reliable autonomo… | 65 |
| 6 | Log-Based Vehicle Control System Verification | 64 |
| 7 | Systems and methods for terrain-based insights for… | 56 |
| 8 | Method to detect camera position change on moving … | 53 |
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.
What the competitive structure means for R&D investment decisions
The combination of moderate concentration, a multi-technology IPC profile, and U. S.-led jurisdiction coverage creates a specific set of strategic considerations for teams allocating R&D and IP budgets.
Growth stage with easing annual volume from 2022 peak
The field is classified as Growth: the recent three-year filing window sits well above the prior three-year window, supporting a 40% multi-year growth rate. Annual volume peaked in 2022 at 78 filings and has since eased, which is characteristic of a field transitioning from rapid early build-out toward more selective, higher-quality filing strategies. Publication lag makes the 2025–2026 data points unreliable as indicators of current activity.
Growth · easing from 2022 peakModerate: no monopolist, but OEMs hold the top positions
The top five filers hold 25% of the hundred largest filers’ combined total, indicating no single player exercises monopoly control. OEMs and their technology subsidiaries (Atieva, GM, Stellantis) occupy ranks one through three, while Tier 1 suppliers (HL Klemove, Continental, Astemo, Aptiv, Magna) and technology specialists (Mobileye, Nvidia, Samsung) fill the middle tier. This structure leaves room for focused entrants with differentiated technical positions.
Moderate concentrationNo co-filing activity detected in available evidence
The collaboration evidence is pending for this corpus — no co-applicant filings were identified in the dataset. This is notable given the multi-stakeholder nature of ADAS development (OEMs, Tier 1s, semiconductor firms, software platforms) and may reflect proprietary filing strategies or a corpus scope that did not capture joint ventures. Teams should verify this independently before concluding the ecosystem is non-collaborative.
Evidence pendingU.S.-dominant with Europe and Asia as secondary markets
The United States is the leading filing jurisdiction, followed by Europe (EPO), India, China, and WIPO (PCT). France, the UK, Austria, Germany, South Korea, Australia, and Taiwan each have smaller but notable counts. The U.S. dominance reflects both the headquarters locations of top filers and the commercial importance of the North American market. India’s position ahead of China is an atypical pattern worth monitoring for emerging R&D activity.
U.S.-led · global coverageGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
Co-filing pairs, ranked by the number of jointly-filed patent families.
Atieva anchors vehicle control; GM spans control and safety systems; specialists diverge by technical route
The top two filers differ in their technology emphasis despite both concentrating in B60W vehicle control: Atieva is tightly focused across autonomous and assisted driving control sub-classes, while GM distributes effort more evenly across control, safety monitoring, and driver-state branches.
Atieva (Lucid Motors)
Atieva leads the corpus with 26 patent families. Its technology emphasis is concentrated in B60W sub-classes covering autonomous driving planning (B60W 40, B60W 60, B60W 30), indicating a vertically integrated perception-to-control IP stack. Momentum data classifies Atieva as a new entrant to the ranked cohort, suggesting its position was built rapidly rather than accumulated over many years — consistent with a purpose-built EV/ADAS program.
families: 26GM Global Technology Operations
GM Global Technology Operations holds 18 patent families, ranking second. Its focus spans B60W 30 (vehicle path/speed control), B60W 50 (driver monitoring and fault handling), and B60W 40 (vehicle state estimation) — a broader safety and control coverage than Atieva’s. GM is also classified as a new entrant to the ranked cohort, reflecting significant recent investment in formalizing its ADAS IP position.
families: 18| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Atieva Inc. (Lucid Motors) | 26 | ▲ new entrant |
| GM Global Technology Operations LLC | 10 | ▲ new entrant |
| ClearMotion Inc | 3 | ▲ new entrant |
| LG Electronics Inc | 5 | ▲ new entrant |
| Nvidia Corporation | 5 | ▲ new entrant |
| Mobileye Vision Technologies Ltd | 2 | ▲ new entrant |
| Samsung Electronics Co Ltd | 6 | ▲ new entrant |
| PSA Automobiles SA | 6 | ▲ new entrant |
Under-served branches adjacent to the dominant vehicle-control core
Several IPC branches appear at lower relative share within this corpus despite having clear technical relevance to ADAS and perception systems. These are observations of relative sparsity; they represent potential entry areas only where technical value and a realistic path also exist.
G06N · AI model architectures for ADAS inference
G06N (computing based on AI models) accounts for 63 patent-record classifications, a 6% share among the top branches — modest given that neural-network inference is foundational to modern perception pipelines. Nvidia’s focus on G06N 3 (neural networks) within this corpus is the clearest specialist signal. Teams developing on-device AI inference, model compression, or safety-certified neural architectures for perception could find relatively open ground here, particularly if combined with B60W integration claims.
Search this in Eureka →G05D · Autonomous vehicle trajectory and non-electric variable control
G05D (control of non-electric variables) appears at 58 patent-record classifications (5% share), despite trajectory planning and motion control being core functions linking perception outputs to actuation. Nvidia and PSA Automobiles show the strongest presence in G05D 1 within the ranked cohort. The branch sits directly adjacent to the dominant B60W core and may be under-claimed relative to its technical significance, offering an entry path for applicants with motion-planning or dynamic-control differentiation.
Search this in Eureka →How leaders diverge by technology route across vehicle control, vision, and AI branches
Route coverage across the main technology branches in the current evidence set.
| Player | B60W 30 · Hybrid/joint vehicle control | G06V 20 · Image/video recognition | B60W 50 · Hybrid/joint vehicle control | B60W 40 · Hybrid/joint vehicle control | G06V 10 · Image/video recognition |
|---|---|---|---|---|---|
| Atieva Inc. (Lucid Motors) | Strong · 11 | Moderate · 6 | Strong · 10 | Strong · 14 | Moderate · 6 |
| GM Global Technology Operations LLC | Strong · 13 | Moderate · 6 | Strong · 10 | Strong · 9 | Moderate · 5 |
| HL Klemove Corp | Strong · 10 | Absent | Absent | Strong · 9 | Strong · 10 |
| ClearMotion Inc | Strong · 7 | Strong · 7 | Strong · 5 | Strong · 4 | Absent |
| Samsung Electronics Co Ltd | Absent | Strong · 9 | Strong · 5 | Absent | Strong · 7 |
| LG Electronics Inc | Strong · 10 | Moderate · 5 | Moderate · 5 | Absent | Absent |
| Stellantis Auto SAS | Absent | Strong · 7 | Strong · 6 | Strong · 5 | Absent |
Frequently asked questions
The analysis covers 387 patent families filed globally, with the United States as the leading jurisdiction. The corpus spans filings from 2017 through 2026, with the most recent years subject to publication lag.
Atieva (associated with Lucid Motors) leads with 26 patent families, ahead of GM Global Technology Operations at 18 and Stellantis Auto SAS at 15. The gap between first and second place is eight patent families.
The field is classified as Growth: the recent three-year filing window is 40% above the prior three-year window. Annual volume peaked in 2022 at 78 filings and has since eased, which is consistent with a maturing growth phase. The 2025 and 2026 data points are understated due to publication lag and should not be read as a genuine decline.
B60W (hybrid/joint vehicle control) is the dominant branch, followed by G06V (image/video recognition) and G08G (traffic control systems). G06N (AI models), G06K (data recognition), G05D (non-electric variable control), and G06T (image processing) form a substantial secondary tier, confirming that computer vision and AI inference are core technical pillars alongside motion control.
The United States leads, followed by Europe (EPO), India, China, and WIPO (PCT). France, the UK, Austria, Germany, South Korea, Australia, and Taiwan each have smaller but notable presences. India’s position ahead of China is an atypical pattern worth monitoring.
G06N (AI model architectures) and G05D (trajectory and non-electric variable control) both appear at relatively low shares — 6% and 5% respectively among the top branches — despite being technically central to modern ADAS pipelines. G06T (image data processing) and G01S (radar, sonar, and positioning) are also worth examining for relative sparsity relative to their engineering importance.
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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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