Skip to content
PatentWorld
Chapter 26

Autonomous Vehicles & Advanced Driver Assistance

Self-driving vehicle patenting trends and competitive dynamics

Having examined artificial intelligence and its role as a general-purpose technology across the patent system, this chapter turns to autonomous vehicles, a domain where AI-driven perception and decision-making systems constitute the core of inventive activity.

Autonomous vehicles and advanced driver-assistance systems (ADAS) represent a convergence of artificial intelligence, sensor technology, and automotive engineering. This chapter traces the patent landscape of self-driving technology — from early cruise control and lane-keeping systems through the current era of fully autonomous driving platforms and robotaxis.

Growth Trajectory

Figure 1

AV Patent Filings Grew Nearly 12x From 500 in 2012 to 5,921 in 2024, as Tech Companies Entered Transportation

Annual count of utility patents classified under AV-related CPC codes, tracking the growth trajectory of autonomous vehicle patenting.

Annual count and share of utility patents classified under AV-related CPC codes (B60W60, G05D1, G06V20/56), 1976–2025. The most prominent pattern is the sharp acceleration beginning around 2012, coinciding with Google's self-driving project gaining visibility and traditional automakers responding with their own AV R&D programs. Grant year shown. Application dates are typically 2–3 years earlier.
The rapid growth in AV patents is consistent with the broader industry transformation, including advances in AI, sensor miniaturization, and the entry of well-capitalized technology firms into the transportation sector.
Figure 2

Incumbents Account for ~90% of AV Patents in 2024, Reflecting Growth From Both New Entrants and Expanding Incumbents

Annual patent counts from entrant and incumbent assignees in the autonomous vehicle domain.

Entrants are organizations filing their first AV patent in a given year; incumbents are those with prior filings.
Figure 3

AV Patents as a Share of Total Filings Rose From 0.20% in 2012 to 1.82% in 2024, Consistent With Intensifying Investment

AV patents as a percentage of all utility patents, showing the growing allocation of inventive effort toward autonomous driving.

Percentage of all utility patents classified under AV-related CPC codes. The upward trend indicates that AV patenting growth represents a disproportionate concentration of inventive effort, not merely tracking overall patent expansion.
The growing share of AV patents among all filings demonstrates that autonomous vehicle innovation is not merely keeping pace with overall patent growth but represents a genuine shift in R&D priorities across both automotive and technology sectors.

AV Subfields

Figure 4

Navigation/Path Planning at 46% of AV Patents; Scene Understanding Grew Nearly 9x From 115 in 2015 to 1,016 in 2024

Patent counts by AV subfield (vehicle control, navigation, scene understanding, and related subfields) over time, based on specific CPC group codes.

Patent counts by AV subfield over time, based on CPC classifications. Navigation and path planning has consistently been the largest subfield, reflecting the central engineering challenge of route optimization and real-time decision-making. Scene understanding — encompassing computer vision applied to driving environments — has grown rapidly since 2015 as deep learning methods improved object detection and semantic segmentation.
The dominance of navigation and path planning patents reflects the fundamental challenge of autonomous driving: route optimization and real-time decision-making. The rapid growth of scene understanding patents signals increasing sophistication in how AV systems perceive their environment.

Leading Organizations

Figure 5

Toyota (1,505 Patents), Honda, Ford, Waymo, and GM Lead AV Patent Volume in a Dual Auto-Tech Race

Organizations ranked by total AV-related patent count, showing concentration among automakers and technology firms.

Organizations ranked by total AV-related patents, 1976–2025. The data indicate a distinctive competitive landscape where traditional automakers and technology companies compete directly, each leveraging distinct capabilities in vehicle engineering and artificial intelligence.
The AV patent landscape distinctively bridges two industries: traditional automakers bring decades of vehicle engineering expertise while technology firms contribute AI, sensor fusion, and software capabilities — creating a competitive dynamic rarely seen in other technology domains.

Top Inventors

Figure 6

The Top AV Inventor, Ali Ebrahimi Afrouzi, Holds 149 Patents, Illustrating the Concentration of Inventive Output

Primary inventors ranked by total AV-related patent count, illustrating the skewed distribution of individual output.

Primary inventors ranked by total AV-related patents, 1976–2025. The distribution exhibits pronounced skewness, with a small number of highly productive individuals — many affiliated with major automakers or technology firms — accounting for a large share of total AV patent output.
The concentration of AV patenting among a small cohort of prolific inventors reflects the deep specialization required in autonomous systems engineering, where expertise in sensor fusion, control theory, and machine learning must be combined within individual inventive contributions.

Geographic Distribution

Figure 7

The United States Accounts for 54% of AV Patents (25,378 Total), Followed by Japan, Germany, and South Korea

Countries ranked by total AV-related patents based on primary inventor location, showing geographic distribution of AV innovation.

Countries ranked by total AV-related patents based on primary inventor location. The United States maintains a substantial lead, while the strong presence of Japan, Germany, and South Korea reflects the global nature of automotive and autonomous driving innovation.
The geographic distribution of AV patents reflects the intersection of two industrial clusters: the United States leads through its technology sector concentration, while Japan, Germany, and South Korea contribute through their established automotive industries.
Figure 8

California (9,266) and Michigan (2,498) Dominate US AV Patenting, Mirroring Tech-Auto Convergence

US states ranked by total AV-related patents based on primary inventor location, highlighting geographic clustering within the United States.

US states ranked by total AV-related patents based on primary inventor location. California's lead reflects Silicon Valley's technology firms (Waymo, Tesla, Uber ATG), while Michigan's prominence reflects Detroit's automotive R&D heritage — illustrating how AV innovation bridges two geographic clusters.
The dual concentration in California and Michigan illustrates the distinctive nature of AV innovation: it requires the convergence of Silicon Valley's AI and software capabilities with Detroit's automotive engineering expertise.

Quality Indicators

Figure 9

AV Patent Tech Scope Expanded From 2.4 in 1990 to 3.96 CPC Subclasses in 2024, Growing More Interdisciplinary

Average claims, backward citations, and technology scope (CPC subclasses) for AV patents by year, measuring quality trends.

Average claims, backward citations, and technology scope for AV-related patents by year. The upward trend in technology scope reflects the inherently interdisciplinary nature of autonomous driving, which spans vehicle control, computer vision, communications, and mechanical engineering.
Rising technology scope indicates that AV patents increasingly bridge multiple CPC subclasses, consistent with autonomous driving requiring the integration of AI, sensor technology, communications, and mechanical engineering.
Figure 10

AV Top-Decile Citation Share Rose to 29.6% in 2015 Before Declining to 20.8% by 2020 Amid Rapid Volume Growth

Share of AV patents in the top decile of forward citations, by grant year.

Top-decile citation share measures the proportion of domain patents that rank in the top 10% of all patents by forward citations received.

AV Patenting Strategies

The leading AV patent holders pursue markedly different technical strategies. Some organizations concentrate on vehicle control and path planning — reflecting an automotive engineering approach — while others invest heavily in scene understanding and perception — reflecting a computer science orientation. The lidar-versus-camera debate, exemplified by Waymo's multi-sensor approach and Tesla's camera-centric strategy, manifests in the patent portfolios of the leading firms.

AV as a Convergent Technology

Autonomous driving is inherently a convergent technology, drawing on advances in artificial intelligence, telecommunications, semiconductor design, and mechanical engineering. By tracking how frequently AV-classified patents also carry CPC codes from other technology areas, it is possible to measure the extent to which autonomous vehicle innovation bridges traditional disciplinary boundaries.

Figure 11

AV Patent Co-Occurrence With Electricity (Section H) Rose From 2.66% in 1990 to 19.51% in 2024

Percentage of AV patents co-classified with other CPC sections, measuring the technology's cross-domain reach.

Percentage of AV patents that also carry CPC codes from each non-AV CPC section. Rising lines indicate AV technology diffusing into or drawing upon that sector. The most notable pattern is the increasing co-occurrence with Physics (Section G, encompassing AI and sensors) and Electricity (Section H, encompassing telecommunications).
The cross-domain reach of AV patents confirms the convergent nature of autonomous driving technology, which bridges AI, telecommunications, sensor engineering, and mechanical systems in ways that distinguish it from most other technology domains.

The Collaborative Nature of AV Innovation

Autonomous vehicle patent team sizes were generally smaller than non-AV patents through the 2010s but have converged in recent years, reaching nearly equal levels by 2025 (Through September). This convergence is consistent with the maturation of AV technology, as autonomous systems have grown more sophisticated and attracted larger multidisciplinary teams integrating perception, planning, and control expertise.

Figure 12

AV Patent Team Sizes Converged to 3.2 Inventors per Patent in 2024, Matching the Non-AV Average

Average inventors per patent for AV versus non-AV utility patents by year, showing convergence in recent years.

Average number of inventors per patent for AV-related versus non-AV utility patents, 1976–2025 (Through September). AV patent team sizes were generally smaller than non-AV patents through the 2010s but have converged in recent years, reaching nearly equal levels by 2025 (Through September).
AV patent team sizes were historically smaller than non-AV patents but have converged in recent years, reaching parity by 2025 (Through September) as autonomous driving systems have matured and attracted larger multidisciplinary teams.
Figure 13

Corporate Assignees Account for 99% of AV Patents, With Technology Firms Contributing to Recent Growth

Distribution of AV patents by assignee type (corporate, university, government, individual) over time.

Distribution of AV patent assignees by type (corporate, university, government, individual) over time. The data reveal overwhelming corporate dominance, reflecting the capital-intensive nature of autonomous vehicle R&D, which requires extensive testing infrastructure, sensor hardware, and large engineering teams.
Corporate assignees dominate AV patenting to an even greater degree than in most technology domains, reflecting the substantial capital requirements of autonomous vehicle development — from testing fleets to simulation infrastructure to regulatory compliance.

Analytical Deep Dives

For metric definitions and cross-domain comparisons, see the ACT 6 Overview.

Figure 14

Top-4 AV Patent Concentration Peaked at 14.6% in 2013, Stabilizing Near 12.7% by 2025 (Through September)

Share of annual domain patents held by the four largest organizations, measuring organizational concentration in autonomous vehicle patenting.

CR4 computed as the sum of the top 4 organizations' annual patent counts divided by total AV domain patents. The moderate and relatively stable concentration reflects the dual-industry nature of AV innovation, with both automotive incumbents and technology firms contributing significant patent volumes.
The moderate concentration level distinguishes autonomous vehicles from domains like agricultural technology (CR4 peak 46.7%) or blockchain (CR4 peak 26%), reflecting the unusually broad competitive landscape spanning traditional automakers and technology firms.
Figure 15

AV Subfield Diversity Increased From 0.82 in 1990 to 0.97 by 2025 (Through September)

Normalized Shannon entropy of subfield patent distributions, measuring how evenly inventive activity is spread across autonomous vehicle subfields.

Normalized Shannon entropy of AV subfield patent distributions. The increase from 0.82 to 0.97 indicates a shift from predominantly navigation-focused patenting to a balanced distribution across path planning, scene understanding, sensor fusion, and V2X communication.
The near-maximum entropy value of 0.97 by 2025 (Through September) suggests that AV innovation has matured into a truly multidisciplinary endeavor requiring simultaneous advances across all subfields, consistent with the systems-level complexity of autonomous driving.
Figure 16

Later AV Entrants Patent at Higher Velocity: 2010s Cohort Averages 28.6 Patents per Year Versus 15.9 for 1990s Entrants

Mean patents per active year for top organizations grouped by the decade in which they first filed an autonomous vehicle patent.

Mean patents per active year for top AV organizations grouped by entry decade. The 1.8x velocity increase reflects the acceleration of AV patenting after Google's self-driving car project (2009) and Tesla's Autopilot development demonstrated commercial viability.
The velocity increase is consistent with the AV domain's transition from exploratory research to production engineering, with later entrants deploying larger patent teams and benefiting from standardized testing frameworks and regulatory clarity.

Having documented the patent landscape of autonomous vehicles and advanced driver-assistance systems, this chapter illustrates how the convergence of AI, sensor technology, and automotive engineering has created one of the most dynamic and capital-intensive innovation races in the modern patent system. The organizational strategies behind AV patenting are explored further in Assignee Composition, while the AI foundations that underpin autonomous driving are examined in the Artificial Intelligence chapter.

Figure 17

AV Filings Peaked at 5,260 in 2019 While Grants Reached 5,300 in 2024 — a 5-Year Examination Lag

Annual patent filings versus grants for autonomous vehicles, showing the filing-to-grant pipeline.

Autonomous vehicle patents exhibit a substantial filing-to-grant lag, with filings peaking in 2019 while grants continued rising through 2024. The growing divergence reflects both the technical complexity of AV patent examination and the surge of applications during the 2016–2019 autonomous vehicle investment boom.

Data coverage: January 1976 through September 2025. All 2025 figures reflect partial-year data.