https://www.patsnap.com/resources/blog/rd-blog/lidar-system-design-optimization-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Photonics & Optics
LiDAR system design optimization patents: where filing has concentrated and where it has stalled
  • Filing peaked in 2019 at 116 families and has declined through the midpoint year of 2022 (59 families), suggesting the core optical-design claim space is filling in rather than expanding.
  • G01S dominates at 498 of 499 records while adjacent subclasses like G02B (61), G01J (42) and H01S (32) show meaningfully thinner coverage — that gap is where design freedom still exists.
  • The United States receives 263 filings versus 83 at the EPO and just 67 via WIPO/PCT, indicating most applicants are not yet pursuing broad multi-jurisdiction protection for this specific claim set.
Get a prior-art report on your approach
499
Published Records
44%
Top-5 Share of All Records
-70%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (60 records) with 2024 (18) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 499 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This dataset tracks patent families filed against LiDAR system design optimization — scanning design, optical system optimization, field-of-view optimization and related system-design claims — across 499 patent families published between 2015 and 2026. The search combines LiDAR-specific terminology with IPC classes covering optical sensing hardware (G01S7/481), simulation and computational design (G06F30), and 3D environment mapping (G01S17/89), which means the corpus captures both the physical scanning hardware and the software-defined optimization layer sitting on top of it.

Because publication typically lags filing by around 18 months, the most recent one or two years in any trend line will always look thinner than they eventually turn out to be. Read the tail of the trend as incomplete, not as a genuine drop-off.

Filing activity, 2017-2026
  1. 1VELODYNE LIDAR USA INC92
  2. 2BAIDU USA LLC39
  3. 3OPSYS TECH LTD36
  4. 4ARETE ASSOCIATES INC26
  5. 5OUSTER INC26
  6. 6COMMONWEALTH SCI & IND RES ORG22
  7. 7BAIDU COM TIMES TECH (BEIJING) CO LTD20
  8. 8MICROVISION INC15
  9. 9POINTCLOUD INC13
  10. 10LG INNOTEK CO LTD12
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on LiDAR System Design Optimization 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

Let an AI agent run this analysis on your own technology

Pick a task. Every answer cites the patents behind it.

10,000 free credits to start
The Data

Filing trends and technology composition

The trend line and the IPC breakdown together show a technology area that expanded quickly, peaked, and has since been filing at a lower steady rate rather than continuing to grow.

A single peak, then decline

Filings rose from 43 in 2017 to a peak of 116 in 2019, then fell back toward 59 by the 2022 midpoint. That shape is more consistent with an early land-grab on core scanning and optical-system claims than with a technology still in its growth phase — later entrants are filing into already-dense prior art rather than opening new ground.

A single peak, then decline03060901204320172018116201920202021202220232024202522026Most recent year is partial — publication lag means later filings are not yet visible.

One dominant class, several thin adjacents

G01S accounts for 498 of 499 records, effectively defining the search itself, but the supporting classes tell the real story: G02B (optical elements, 61 records), G01J (radiation/light measurement, 42), G01C (navigation/gyroscopes, 35), G06V and G06T (image processing, 33 and 32) and H01S (lasers, 32) are all present but comparatively lightly filed. Any of these adjacents could be undersaturated relative to the volume of core scanning-design filings.

One dominant class, several thin adjacentsG01S · Radar, sonar & positioning49899.8%G02B · Optical elements & systems6112.2%G01J · Radiation & light measurement428.4%G01C · Distance, navigation & gyrosco…357.0%G06V · Image/video recognition336.6%G01N · Material analysis & testing326.4%G06T · Image data processing & genera…326.4%H01S · Lasers & stimulated emission326.4%Other31262.5%

Shares are the percentage of the 499 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 LiDAR System Design Optimization covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

Go deeper on LiDAR System Design Optimization with Eureka

This page is one run against one query. Ask Eureka your own question about lidar system design optimization and every answer comes back with the patent numbers behind it.

Try Eureka
Key Patents

The foundational and representative filings

Representative Filing
US20190257927A12019-08-22

Optical sensing based on wavelength division multiplexed (WDM) light at different wavelengths in LiDAR systems

YAO, XIAOTIAN STEVE

Designs and implementations of light detection and ranging (LiDAR) systems that project light at a set of different wavelength division multiplexed (WDM) wavelengths based on WDM optical designs to reduce the number of components, complexity of LiDAR optical systems, the weight and cost of LiDAR systems for a wide range of applications.Filed by Xiaotian Steve Yao, published 2019-08-22 as US20190257927A1.

US20190257927A1 — patent drawing 1US20190257927A1 — patent drawing 2
View full filing
Most-cited records in this landscape
#Publication no.Patent titleCitations
1US20120044476A1Systems and methods of scene and action capture using imaging system incorporating 3D lidar393
2US20170307736A1Multi-Wavelength LIDAR System358
3US20140376001A1Integrated optical system and components utilizing tunable optical sources and coherent detection and phased …346
4US9285477B13D depth point cloud from timing flight of 2D scanned light beam pulses338
5US6115114ALaser scanning system and applications273
6US20170299697A1Light Detection and Ranging System with Photonic Integrated Circuit201
7US20040130702A1Lidar system and method188
8US10222474B1Lidar systems including a gallium and nitrogen containing laser light source179
9US20150192676A1LiDAR System Comprising A Single-Photon Detector167
10US5831719ALaser scanning system159

Citation counts accumulate over time, so older filings are structurally favored; treat this table as a map of foundational influence, not of current commercial relevance.

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 LiDAR System Design Optimization 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
Run it yourself

Put your own technology through the same analysis


  
Where to run it
Fastest

Eureka on the web

When you want the answer in the next five minutes.

The agent works the prompt against patents and technical literature, citing every source.

Run your analysis now →
For builders

MCP server & REST API

When it has to run inside your own pipeline.

Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.

Browse MCP servers →
Insights

What the numbers mean for a filing decision

Three patterns stand out once family counts, geography and citation depth are read together.

Filing Concentration
116 in 2019
peak-year families

The core claim space filled early

Filings peaked in 2019 and have since fallen to roughly half that level by the 2022 midpoint. New entrants writing broad claims on basic scanning-design or field-of-view optimization are filing against five to seven years of dense prior art in that exact space.

Trend, 2017-2026
Jurisdictional Spread
263 vs 83
US filings vs EPO

Protection is US-heavy, not global

The United States receives more than three times the filings of the EPO, and WIPO/PCT applications (67) trail both. Applicants defending only a US position may be exposed in Europe and other jurisdictions where coverage is thinner.

Receiving office split
Citation Depth
393 citations
top-cited record

Foundational patents are old and broad

The most-cited records date back to early 3D LiDAR and laser-scanning concepts, some predating 2015. Their citation counts reflect years of accumulation rather than present-day relevance, but the underlying scanning and time-of-flight concepts they establish still anchor freedom-to-operate analysis today.

Most-cited records table
Collaboration Pattern
10 co-assignee pairs
joint-filing relationships

Co-filing is rare and mostly corporate-internal

Only ten co-assignee pairs appear across the dataset, and the strongest is an internal pairing between two entities under the same corporate group rather than a cross-industry partnership. Joint filing between independent organizations in this space is uncommon.

Co-assignee pairs
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 lidar system design optimization, 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 LiDAR System Design Optimization 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 is filing, and how actively

Recent-year momentum figures show a field where the most visible historical filers have gone quiet rather than accelerated, which changes how a competitive read of this space should be framed.

Momentum Leader
1 filing
latest year, 0% YoY

Velodyne holds the only active latest-year filing

Velodyne (rendered here as Velodyne LiDAR USA, Inc.) recorded one filing in the latest year with flat year-over-year movement, making it the sole assignee among the tracked group still filing at all in the most recent period.

Latest-year filings
Recently Dormant
-100% YoY
Ouster and Opsys

Two named players dropped to zero

Ouster (Ouster, Inc.) and Opsys Technologies (Opsys Technologies Ltd.) both show zero filings in the latest year against a -100% year-over-year change, indicating a pause in new design-optimization filings rather than sustained activity.

Recent-year momentum
Institutional Filer
3 co-assignee pairs
with named individuals

CSIRO files jointly with named researchers

The Commonwealth Scientific and Industrial Research Organisation (Commonwealth Scientific and Industrial Research Organisation (CSIRO)) appears in co-assignee pairs with individual named inventors, a pattern distinct from the corporate-internal pairing that dominates elsewhere in the dataset.

Co-assignee pairs
🔍
Under-claimed design branches
Sub-areas where filing volume sits well below the core scanning-design claim space
multi-wavelength WDM optical designcoherent detection phased-array integrationfield-of-view optimization for solid-state scanninggyroscope-fused navigation correctionlaser radiation measurement calibration
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Velodyne LiDAR USA, Inc.10%
Baidu USA LLC0
Opsys Technologies Ltd.0-100%
Ouster, Inc.0-100%
AEye, Inc.0
Commonwealth Scientific and Industrial Research Organisation (CSIRO)0
Velodyne LiDAR, Inc.0
Baidu Netcom Science and Technology (Beijing) Co., Ltd.0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on LiDAR System Design Optimization 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 landscape data points to specific next steps depending on whether the goal is freedom-to-operate, white-space filing, or competitive tracking.

Check freedom-to-operate against the most-cited records

Before drafting claims on scanning design or time-of-flight point-cloud generation, screen against the five most-cited foundational patents in this dataset — their broad early claims still shape what counts as novel.

Run a claim comparison in Eureka

Map the under-claimed adjacents in detail

G02B, G01J and H01S each carry a fraction of the filing volume seen in the core G01S class. A targeted search inside those subclasses can surface specific open claim territory before committing R&D spend.

Explore adjacent IPC classes in Eureka

Track dormant assignees for re-entry signals

Ouster and Opsys both show a full year-over-year drop to zero filings. Watching for renewed filing activity from either is a low-cost way to catch a competitive shift early.

Set up assignee monitoring in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on LiDAR System Design Optimization 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 about this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on LiDAR System Design Optimization 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

Research LiDAR System Design Optimization in depth with Eureka

Go past this page: query the whole lidar system design optimization corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.

Try Eureka

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.