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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →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.
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.
Pick a task. Every answer cites the patents behind it.
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.
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.
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.
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%.
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 EurekaDesigns 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.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20120044476A1 | Systems and methods of scene and action capture using imaging system incorporating 3D lidar | 393 |
| 2 | US20170307736A1 | Multi-Wavelength LIDAR System | 358 |
| 3 | US20140376001A1 | Integrated optical system and components utilizing tunable optical sources and coherent detection and phased … | 346 |
| 4 | US9285477B1 | 3D depth point cloud from timing flight of 2D scanned light beam pulses | 338 |
| 5 | US6115114A | Laser scanning system and applications | 273 |
| 6 | US20170299697A1 | Light Detection and Ranging System with Photonic Integrated Circuit | 201 |
| 7 | US20040130702A1 | Lidar system and method | 188 |
| 8 | US10222474B1 | Lidar systems including a gallium and nitrogen containing laser light source | 179 |
| 9 | US20150192676A1 | LiDAR System Comprising A Single-Photon Detector | 167 |
| 10 | US5831719A | Laser scanning system | 159 |
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.
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 →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 →Three patterns stand out once family counts, geography and citation depth are read together.
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.
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.
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.
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.
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.
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.
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.
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.
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.
| Assignee | Recent year | YoY |
|---|---|---|
| Velodyne LiDAR USA, Inc. | 1 | 0% |
| Baidu USA LLC | 0 | — |
| 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 | — |
The landscape data points to specific next steps depending on whether the goal is freedom-to-operate, white-space filing, or competitive tracking.
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 EurekaG02B, 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 EurekaOuster 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 EurekaThis landscape covers 499 patent families filed between 2015 and 2026 that combine LiDAR-specific terminology with claims on scanning design, optical system optimization, and field-of-view optimization, classified primarily under G01S7/481, G06F30 and G01S17/89. The corpus spans both physical scanning hardware and the computational optimization methods applied to it. The most-cited foundational records date to early 3D LiDAR and time-of-flight scanning concepts, some predating the 2015 window, and continue to anchor prior-art searches in the field.
Recent-year momentum data shows Velodyne as the only tracked assignee with an active filing in the latest year, though at just one filing with flat year-over-year movement. Other historically significant filers, including Ouster and Opsys Technologies, show zero filings in the latest year with a -100% year-over-year change, suggesting a broader slowdown across previously active players rather than a single new leader emerging. Any competitive read of this space should account for that pause rather than assume continuity from earlier peak-year activity.
Filings rose from 43 in 2017 to a peak of 116 in 2019 before declining to roughly 59 by the 2022 midpoint. That pattern typically reflects an initial wave of applicants staking out core scanning-design and optical-system claims early, followed by a thinner stream of filings once the most obvious claim space is occupied. It does not necessarily mean the underlying technology has stopped advancing — it means the easiest claims in this specific search scope have largely been filed.
The clearest gaps sit in subclasses that appear far less frequently than the dominant G01S positioning class: G02B optical elements (61 records), G01J radiation measurement (42), G01C navigation and gyroscopes (35), and H01S lasers (32). Sub-areas such as multi-wavelength WDM optical design, coherent detection with phased-array integration, and field-of-view optimization specific to solid-state scanning show filing volumes well below the core scanning-design claim space. These are reasonable starting points for a novelty search before committing to a specific claim direction.
Citation counts in this dataset favor older records simply because they have had more years to accumulate citations, so the most-cited patent — with 393 citations — is not necessarily the most commercially relevant filing today. Instead, treat high citation counts as a marker of foundational influence on how later claims were drafted, useful for freedom-to-operate screening. For a read on current competitive activity, recent-year filing momentum by assignee is a better signal than citation depth.
Go past this page: query the whole lidar system design optimization corpus yourself, in your own scope.
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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.