https://www.patsnap.com/resources/blog/rd-blog/automotive-lidar-systems-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Autonomous Driving · Patent Landscape
Automotive LiDAR patents: mapping who holds the scanning and detection claims
  • Filing activity has plateaued, not grown. The peak year was 2020 at 6 filings, and the 2022 midpoint sits at the same level — this is a maturing claim space, not an accelerating one.
  • Filings concentrate in the United States by a wide margin. 26 of 37 records route through the USPTO, versus 5 at the EPO and 3 each in China and via PCT — a US-centric contest so far.
  • The most-cited prior art predates the current filing wave. The highest-cited record carries 173 citations and traces to solid-state circuit claims filed years before the 2020 peak, so influence and recency point in different directions.
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37
Published Records
62%
Top-5 Share of All Records
-50%
3-Yr Growth (lag-adjusted)
US
Leading Jurisdiction
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This dataset tracks 37 patent families filed against automotive and vehicle LiDAR sensing — solid-state architectures, MEMS mirror scanning, point cloud density claims, detection-range engineering and eye-safety constraints — classified under G01S17, G01S7 and G02B26. Coverage runs from 2015 through the 2026-07-31 data cut-off, though the most recent one or two years will always understate real filing activity because publication typically lags filing by around 18 months.

The technology composition skews heavily toward G01S (radar, sonar and positioning), with secondary depth in optical modulation, length measurement and light measurement subclasses — consistent with a field still built primarily around ranging and detection rather than downstream perception software.

Filing activity by year, 2017-2026
  1. 1OPSYS TECH LTD10
  2. 2NKB PROPERTIES MANAGEMENT LLC4
  3. 3INTEL CORP4
  4. 4GM GLOBAL TECHNOLOGY OPERATIONS LLC3
  5. 5OPSYS TECH LID2
  6. 6VISTEON GLOBAL TECHNOLOGIES INC2
  7. 7LITUREX GUANGZHOU CO LTD2
  8. 8AUMOVIO AUTONOMOUS MOBILITY US LLC2
  9. 9OUSTER INC2
  10. 10NIANTIC SPATIAL INC1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Automotive LiDAR Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The data

Filing trend and technology mix

Two views of the same 37-family dataset: how filing volume has moved year over year, and how the underlying claims split across IPC subclasses.

A flat-to-declining filing curve

Filings rose from 2 in 2017 to a peak of 6 in 2020, then held at 6 through the 2022 midpoint before tapering toward the 2026 cut-off. That shape reads as a technology that reached a claims plateau rather than one still in a land-grab phase — new entrants now face denser prior art per incremental filing than they would have in 2017.

A flat-to-declining filing curve02356220172018201962020620216202220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

Ranging dominates; optics and control are secondary

G01S accounts for the full 37-family set by construction of the search, with G02F (optical control and modulation) at 6, G01B and G01J at 4 each, and G05D, G02B, H01S and G01C trailing behind. The long tail of single-digit subclasses suggests component-level innovation — optics, lasers, control loops — is still being claimed in small pockets rather than consolidated.

Ranging dominates; optics and control are secondaryG01S · Radar, sonar & positioning37100.0%G02F · Optical control & modulation616.2%G01B · Measuring length & dimensions410.8%G01J · Radiation & light measurement410.8%G05D · Control of non-electric variab…38.1%G02B · Optical elements & systems25.4%H01S · Lasers & stimulated emission25.4%G01C · Distance, navigation & gyrosco…12.7%Other12.7%

Shares are the percentage of the 37 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Automotive LiDAR Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key patents

The prior art shaping this space

Representative filing
US11698445B22023-07-11

US11698445B2 — Automotive Lidar with multi-spectral depth imaging and discrete scanning mechanism

GM GLOBAL TECHNOLOGY OPERATIONS LLC

A vehicle, Lidar system for the vehicle and method of scanning an object with the Lidar system. The Lidar system includes a first quarter wave plate, a first deflection stage and a detector. The first quarter wave plate produces a circularly polarized scanning beam of light. The first deflection stage selects a rotation direction for a polarization vector of the scanning beam and deflects the scanning beam by a selected angle based on the selected rotation direction of the polarization vector. The detector receives a reflected beam that is a reflection of the scanning beam from the object.Filed by GM Global Technology Operations, granted 2023-07-11 — a discrete polarization-based scanning mechanism rather than a continuously rotating or MEMS-driven one.

US11698445B2 — patent drawing 1US11698445B2 — patent drawing 2
View full filing
Most-cited records in the dataset
#Publication no.Patent titleCitations
1US20170184450A1Low power, high resolution solid state lidar circuit173
2US5241315AMicro pulse laser radar83
3US20200326425A1Solid-State LIDAR Transmitter with Laser Control52
4US9823118B2Low power, high resolution solid state LIDAR circuit33
5US20210231806A1Solid-State LIDAR Transmitter with Laser Control22
6WO2020210176A1Solid-state lidar transmitter with laser control20
7US10281322B2Low power, high resolution solid state LIDAR circuit having a modulator to modulate a bit sequence onto a car…20
8US11320538B2Solid-state LIDAR transmitter with laser control17
9US20200072950A1Automotive lidar with multi-spectral depth imaging and discrete scanning mechanism16
10EP3953727A1Solid-state lidar transmitter with laser control14

Citation counts here are a proxy for influence within this searched corpus, not for current commercial relevance — older solid-state circuit filings dominate the list simply by having had longer to accumulate citations.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Automotive LiDAR Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for a filing decision

Three read-outs from the trend, geography and citation data that matter more than the raw counts alone.

Filing momentum
Peak 6 (2020)
filings in the strongest year

A plateau, not a wave

Filings held at the 2020 peak through the 2022 midpoint rather than climbing further, which is unusual for a sensing technology still being designed into new vehicle platforms. Treat the apparent 2025-2026 dip with caution given publication lag, but do not read growth into a curve that was already flat before the lag window began.

Based on 37 tracked families, 2017-2026
Jurisdiction
26 of 37
records filed at the USPTO

A US-centric contest so far

The EPO, China and PCT combined account for only 11 of 37 records. For teams weighing where freedom-to-operate risk actually concentrates, that skew means US claims deserve the first and closest read, with European and Chinese filings treated as a secondary but growing check.

Receiving office split across all 37 families
Citation influence
173 citations
on the top-cited record

Old solid-state claims still cast a long shadow

The most-cited filing in the set is a solid-state LIDAR circuit patent, cited well ahead of anything filed near the 2020 peak. New entrants building solid-state transmitter or receiver circuits should expect this lineage to surface in any prior-art search, regardless of how recent their own design is.

Citation counts within this searched corpus
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to automotive lidar systems, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Automotive LiDAR Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who holds the claims

Recent-year filing momentum across the tracked assignees has gone quiet across the board — every major name in the ranking shows zero filings in the latest tracked year, consistent with the broader plateau in the trend data and with publication lag masking the newest work.

Automotive OEM & Tier 1
0 filings
in the latest tracked year

Legacy players hold ground rather than expand it

Names including GM Global Technology Operations, Continental Automotive Systems and Visteon Global Technologies appear in the ranking but show no filings in the most recent year, matching the flat trend line rather than contradicting it.

Recent-year momentum by assignee
Pure-play LiDAR & semiconductor
37 families
total tracked

Specialist and chipmaker filings sit alongside OEMs

Assignees such as Ouster, LeddarTech-type specialists and Intel appear in the same ranking as automotive OEMs, suggesting the claim space is being worked from both the sensor-component side and the vehicle-integration side rather than by one camp alone.

Assignee ranking across all 37 families
Geographic spread
26 / 5 / 3 / 3
US / EPO / China / PCT records

Chinese entrants are present but still thin

Names like Guangzhou-based optics firms and Shenzhen innovation companies appear in the dataset, but China's 3 receiving-office filings versus the US's 26 indicate the domestic claim base there is still forming rather than mature.

Receiving office counts, all 37 families
🔍
Under-claimed branches worth a closer look
Sub-areas where filing density is thin relative to the core ranging and scanning claims — a first well-drafted claim here faces less prior art to design around.
Eye-safety power modulation schemesPoint cloud density adaptive controlDiscrete polarization-based scanningMEMS mirror resonance stabilizationMulti-spectral depth imaging fusion
Rank all filers by momentum →
Recent-year filing momentum
AssigneeRecent yearYoY
Ouster, Inc.0
LeddarTech Inc.0
Intel Corporation0
Continental Automotive Systems, Inc.0
GM Global Technology Operations LLC0
Visteon Global Technologies, Inc.0
Ouster, Inc.0
Guangzhou Guangwei Technology Co., Ltd.0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Automotive LiDAR Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's next

Where to take this analysis

The trend and assignee data point to specific next steps depending on whether you are scoping freedom-to-operate or looking for where to file.

Check freedom-to-operate against the US filing base

With 26 of 37 records routed through the USPTO, any commercial launch plan should start its clearance search there before extending to Europe or China.

Run a claims search in Eureka

Probe the under-claimed branches before the plateau ends

Eye-safety modulation and adaptive point cloud density claims remain thin relative to core scanning-mechanism art, which narrows the prior art a new filing has to clear.

Explore white space in Eureka

Track whether the flat trend breaks in either direction

Because publication lag understates 2025-2026 filings, re-checking this trend in six to twelve months will show whether the plateau was temporary or a genuine ceiling.

Monitor this landscape in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Automotive LiDAR Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions on automotive LiDAR patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Automotive LiDAR Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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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.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.