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Camera Perception System Patent Landscape 2026

Camera Perception System Patent Landscape 2026
Competitive Landscape

Camera Perception System Patent Landscape in 2026

Scania CV AB commands this field with 41 patent families — nearly three times the next-ranked filer — giving the landscape a strongly concentrated, incumbent-heavy character. Annual volume peaked in 2020 and has eased since, signalling a field past its fastest growth phase, though new entrants in drone and autonomous-vehicle niches continue to arrive.

139
Patent families in scope
51%
Top-5 share of top-100 filers
-19%
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

Scania dominates a concentrated but still-contested field

Scania CV AB holds the top position with 41 patent families, more than three times the 12 held by second-ranked Zoox Inc. The top five filers together account for 51% of the combined output of the hundred largest filers, confirming a highly concentrated competitive structure.

Below Scania there is a clear tier gap: Zoox (12 families), Wing Aviation LLC (11), and Amazon Technologies Inc (8) form a second tier, while the remaining ranked players each hold six or fewer patent families. This two-tier structure means any challenger seeking parity with the leader faces a substantial catch-up distance.

Leading applicants
#ApplicantPatent familiesShare
1Scania CV AB41
2Zoox Inc12
3Wing Aviation LLC11
4Amazon Technologies Inc8
5Juxing Tech (Shenzhen) Co., Ltd.6
6Pebble Mobility Inc6
7Locomation Inc5
8Toyota Motor Corporation4
9Huawei Technologies Co., Ltd.4
10Siemens Corporation3
#ApplicantPatent familiesShare
11Qualcomm Incorporated3
12Sikorsky Aircraft Corporation3
13Beijing Xiaomi Pinecone Electronics Co., Ltd.3
14Beijing Xiaomi Mobile Software Co., Ltd.3
15Imago Systems Inc2
16Arriver Software LLC2
17Guangzhou Xpeng Motors Technology Co., Ltd.2
18BAE Systems plc2
19X Development LLC2
20Stack AV Co2
↗ Hover a row · click a company to ask Eureka

Scania’s focus on vehicle control and traffic systems (G05D, G08G, B60W) suggests its leadership is rooted in commercial-vehicle autonomy rather than general perception hardware, which may leave adjacent imaging and sensor-fusion branches relatively open to specialists.

Filing counts for 20242026 are subject to publication lag and will rise as pending applications publish; the apparent low volume in those years does not necessarily reflect reduced inventor activity. 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

Filing peaked in 2020; image-recognition and vehicle-control classes dominate the technology mix

The annual filing trend and the IPC technology composition together reveal both the pace of competitive activity and the technical sub-fields attracting the most attention.

Annual filing trend

Filings reached their highest point in 2020 with 26 patent families filed that year, then eased to the mid-teens range through 2022–2023. The 2024–2026 bars are suppressed by publication lag and should not be read as a continuation of the downward trend; the field is past its peak-growth phase on a multi-year basis but not necessarily in terminal contraction.

Annual filing trendAnnual values from 2017 to 2026, peaking at 26 in 2020.162017192018102019262020162021162022192023720249202512026↗ Hover for values · click a bar to ask Eureka

Technology composition

G06V (image and video recognition) is the dominant IPC class, reflecting core camera-based perception work. G05D (control of non-electric variables) and B60W (hybrid/joint vehicle control) rank second and third, confirming that most filing activity couples perception directly to vehicle or system actuation. G08G (traffic control) and G06T (image data processing) round out the top five, indicating strong interest in both infrastructure-level and algorithmic perception tasks. Lower-volume classes such as B64U (drones), B25J (robotics), and G01S (radar/positioning) signal emerging multi-modal and aerial applications.

Technology compositionG06V · Image/video recognition leads with 81; G05D · Control of non-electric variables 67.G06V · Image/video recog…81G05D · Control of non-el…67B60W · Hybrid/joint vehi…59G08G · Traffic control s…42G06T · Image data proces…37G01S · Radar, sonar & po…23G06F · Electric digital …19G01C · Distance, navigat…16↗ 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
US20230115371A1Published 2023-04-13

Efficient vision perception

Qualcomm Incorporated

Systems and techniques are provided for vision perception processing. An example method can include determining an attention demand score or characteristic per region of a frame from a sequence of frames; generating attention votes per region of the frame based on the attention demand score or characteristic per region, the attention votes per region… (excerpt from the patent abstract)

Efficient vision perception — patent drawingEfficient vision perception — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Object detection and tracking97
2Semantics based safe landing area detection for an…84
3Object velocity and/or yaw rate detection and trac…46
4Method and control unit for adjusting an inter veh…45
5Semantics based safe landing area detection for an…30
6Localization by vision23
7Semantics based safe landing area detection for an…22
8无人机地面控制系统21

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 patent structure means for R&D investment decisions

The combination of a past-peak filing curve, high concentration, and absent co-filing data points to a field where incumbent depth and solo-filing norms define competitive dynamics.

Decline

Past peak: consolidation phase under way

The lifecycle evidence places this field in decline, with annual volume easing back from its 2020 peak. New entrants (Wing Aviation, Pebble Mobility, Huawei, Qualcomm) are still arriving, suggesting selective growth niches remain, but broad-front filing races characteristic of early-growth stages have subsided. R&D investment should target defensible niches rather than broad platform claims.

Lifecycle: Decline
Concentration

One dominant incumbent; a shallow second tier

The top five filers account for 51% of the hundred largest filers’ combined output, with Scania alone holding nearly 30% of that group’s total. The tier gap between Scania (41 patent families) and Zoox (12) is large enough that challengers cannot close it quickly through organic filing alone. Acquisition of smaller, focused portfolios — such as those held by Arriver Software or Imago Systems — may be a more efficient path to competitive parity.

High concentration
Collaboration

No co-applicant activity detected in this corpus

The collaboration evidence shows no recorded co-filing relationships among applicants in this dataset. This suggests the field is characterized by solo, proprietary development rather than consortium or joint-development structures. Entrants should not expect open ecosystem norms; freedom-to-operate analysis and cross-licensing will be more relevant than partnership-based IP sharing.

Solo-filing norms
Geography

US-centric filing with selective European and PCT coverage

The United States leads with 54 patent records, followed by the EPO with 30 and WIPO/PCT with 22. Sweden (SE) appears separately with 21 records, reflecting Scania’s home-jurisdiction filings. China shows 11 records, and Germany 7. This distribution suggests that US protection is the primary commercial priority, with selective European and international extension — leaving several major automotive markets with thinner coverage.

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

Source: PatSnap Eureka. Insight cards are derived from lifecycle, concentration, collaboration, and jurisdiction evidence in the PatSnap Eureka dataset.Explore insights →
Leaders

Scania leads on vehicle control; drone and AV challengers carving distinct niches

The top two ranked filers pursue different technical strategies: Scania concentrates on commercial-vehicle autonomy and traffic systems, while Zoox focuses on image recognition and image-data processing for robotaxi applications.

Leader · Scania CV AB

Scania CV AB

Scania leads with 41 patent families, concentrated in G05D (control of non-electric variables), G08G (traffic control systems), and B60W (hybrid/joint vehicle control) — a profile oriented toward integrating camera perception into commercial-vehicle autonomy stacks. No momentum data is available for Scania in the recent-versus-prior comparison, indicating the bulk of its portfolio was established in prior periods rather than being a recent surge.

families: 41
Challenger · Zoox Inc

Zoox Inc

Zoox holds 12 patent families, with emphasis on G06V (image/video recognition) and G06T (image data processing), plus B60W (vehicle control) — reflecting a robotaxi perception stack focused on visual understanding. Wing Aviation LLC (11 families, new entrant with 8 recent patent families) is an equally prominent challenger, concentrating on G06V and B64U (drone applications), making it the leading aerial-perception filer in this corpus.

families: 12
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Pebble Mobility IncLocomation Inc+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Wing Aviation LLC8▲ new entrant
Amazon Technologies Inc2▲ new entrant
Pebble Mobility Inc5▲ new entrant
Huawei Technologies Co., Ltd.2▲ new entrant
Qualcomm Incorporated2▲ new entrant
Source: PatSnap Eureka. Player cards cite patent family counts from the applicant ranking and technology emphasis from IPC focus data.Explore players →
Adjacent Branches

Under-served branches in sensor fusion, positioning, and data processing

Several IPC classes adjacent to the dominant image-recognition core show relatively low filing shares, warranting attention from teams evaluating where perception IP coverage is thin.

G01S · Radar, sonar & positioning

With 23 patent records and a 5% share among the top-ranked filers, radar and active-sensor positioning is an adjacent branch with limited dedicated coverage relative to camera-only approaches. Camera-plus-LiDAR or camera-plus-radar fusion is a well-established engineering path for robust perception in adverse conditions, yet the corpus shows few families specifically bridging G06V and G01S. Teams with sensor-fusion expertise could file in this gap; the entry path is technically demanding but the incumbent depth here is shallow compared with the main G06V cluster.

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G01C · Distance, navigation & gyroscopes

G01C (distance, navigation, and gyroscopes) holds only 16 patent records and a 4% share, despite camera-based localization being a core capability for autonomous vehicles and drones. The most-cited work in this corpus includes a ‘Localization by vision’ patent (23 citations), indicating technical relevance — yet filing volume is sparse. Applicants focusing on visual odometry, camera-inertial odometry, or HD-map-free localization could find meaningful white space here, particularly for non-automotive platforms such as aerial or agricultural robots.

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View all five identified adjacent branches with filing-share detail and technology-entry analysis.
G06T · Image data processing & generationG06K · Data recognition & presentation+ more
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Source: PatSnap Eureka. Adjacent branches are identified by low filing share relative to total corpus activity in each IPC class; they represent observations of relative sparsity, not validated commercial opportunities.Explore emerging →
Route Matrix

How leaders differ across technology routes

Strength of each leader across the main technology routes.

PlayerG06V 20 · Image/video recognitionG05D 1 · Control of non-electric variablesG06V 10 · Image/video recognitionG06T 7 · Image data processing & generationG08G 1 · Traffic control systems
Scania CV ABModerate · 10Strong · 29Emerging · 5Moderate · 7Strong · 25
Zoox IncModerate · 4Moderate · 4Strong · 12Strong · 9Absent
Wing Aviation LLCStrong · 11Emerging · 2Moderate · 5Moderate · 3Absent
Huawei Technologies Co., Ltd.Strong · 4AbsentModerate · 2Moderate · 2Absent
Toyota Research Institute Inc.Moderate · 2Strong · 4AbsentModerate · 2Absent
Locomation IncAbsentStrong · 4AbsentAbsentStrong · 4
Amazon Technologies IncStrong · 7AbsentAbsentAbsentAbsent
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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