Autonomous Tractor Sensor Integration Patent Snapshot
The autonomous tractor sensor integration space is highly concentrated, with a small cohort of specialized agtech and autonomous-vehicle startups holding the dominant positions across 27 patent families in scope. The field is still expanding on a multi-year basis following a surge that peaked in 2022, and the United States is the primary filing jurisdiction.
Outrider Technologies leads a tightly held, startup-driven field
Outrider Technologies Inc holds the top position with 7 patent families, ahead of Dawn Equipment Co and Agtonomy (5 each) and Instituto Hercilio Randon (4). These four applicants together define the leading tier in a corpus that is relatively small but growing quickly.
The top five filers account for 77% of the combined total across the ranked applicants visible in this query, signaling an unusually tight concentration for an emerging field. The gap between the first-tier cluster and the trailing applicants — each holding only one or two patent families — is pronounced, leaving limited mid-tier competition.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | Outrider Technologies Inc | 7 | |
| 2 | Dawn Equipment Co | 5 | |
| 3 | Agtonomy | 5 | |
| 4 | Instituto Hercilio Randon | 4 | |
| 5 | Kuhn-Huard SAS | 2 | |
| 6 | Aurora Operations Inc | 2 | |
| 7 | CreateAI Inc | 2 | |
| 8 | Vaibhav Laxman Dhasal (Director) | 1 | |
| 9 | AgXeed Holding BV | 1 | |
| 10 | TuSimple Inc | 1 |
The leaders are predominantly purpose-built agtech and autonomous-vehicle companies rather than established agricultural OEMs, suggesting that incumbent farm-equipment makers have not yet staked out strong patent positions in sensor integration specifically. This creates both a risk and an opening for larger players considering entry.
The most recent filing years (2024–2026) are further understated by publication lag and should not be read as a plateau; the actual recent activity level is likely higher than the raw counts indicate. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
A 2022 filing surge defined the field; control systems dominate the technology mix
Annual filing volume and technology composition together reveal a field that accelerated sharply in 2022 and is spread unevenly across IPC classes, with autonomous control logic far ahead of any other branch.
Annual filing trend
Filings ran at low single-digit levels from 2017 through 2021, then spiked to a recorded high of 10 in 2022 before receding in subsequent years. The post-2022 numbers are materially understated by publication lag and should not be interpreted as a real contraction; the three-year recent window sits 220% above the prior three-year window on a multi-year basis.
↗ Hover for values · click a bar to ask EurekaTechnology composition
G05D (control of non-electric variables) is by far the visible IPC branch, reflecting that patent coverage centers on the autonomous navigation and decision-making layer. A01B (soil working in agriculture) and B60W (hybrid/joint vehicle control) form a secondary tier, while branches such as G06V (image/video recognition), G01S (radar, sonar and positioning), and H04W (wireless communications) each account for only a small share — pointing to sparse sensor-specific coverage relative to the control-system core.
↗ Hover for values · click a bar to ask EurekaHighly 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.
Localization Methods And Architectures For A Trail…
Systems and methods for localization of a trailer of an autonomous tractor-trailer are described herein. Some implementations can determine a sector area in an environment of the autonomous tractor-trailer that is predicted to include the trailer, determine a subset of an LIDAR data that is generated by LIDAR sensor(s) of an autonomous tractor of the… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Two-level path planning for autonomous vehicles | 54 |
| 2 | Modular autonomous farm vehicle | 47 |
| 3 | Modular autonomous farm vehicle | 38 |
| 4 | Modular Autonomous Farm Vehicle | 28 |
| 5 | Autonomous farm vehicle | 16 |
| 6 | Localization Methods And Architectures For A Trail… | 9 |
| 7 | Modular Autonomous Farm Vehicle | 6 |
| 8 | Autonomous farm vehicle | 6 |
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.
Assignee snapshot from the current evidence set
The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.
Outrider Technologies Inc
Outrider Technologies holds 7 patent families, the largest position in the corpus, and entered the ranking as a new entrant in the recent window. Its focus clusters tightly around G05D1 (autonomous control of non-electric variables), B60D1 (vehicle coupling), and B60T7 (braking systems) — a combination that reflects integration of sensor-driven control with the mechanical interfaces tractors require. The new-entrant trajectory indicates rapid, recent portfolio build-out rather than a legacy position.
families: 7Agtonomy
Agtonomy holds 5 patent families and also entered as a new entrant in the recent period, with coverage spanning A01B69 (soil working/autonomous agricultural machinery), G05D1 (autonomous control), and G06V10 (image/video recognition). The inclusion of G06V distinguishes Agtonomy as the only top-ranked applicant with explicit computer-vision coverage, positioning it closer to a full sensor-fusion stack than competitors focused solely on control or mechanical integration.
families: 5Frequently asked questions
The evidence set contains 27 patent families in scope across all jurisdictions, with the United States as the lead filing office.
Outrider Technologies Inc leads with 7 patent families, followed by Dawn Equipment Co and Agtonomy with 5 each, and Instituto Hercilio Randon with 4.
The field is classified as Growth stage. Recent three-year filings are 220% above the prior three-year window on a multi-year basis. Annual volume eased from a 2022 peak, but recent years are further understated by publication lag, so this should not be read as a genuine decline.
G05D (control of non-electric variables) is visible in the IPC mix, followed by A01B (soil working in agriculture) and B60W (hybrid/joint vehicle control). These three branches represent the core of current patent activity.
No co-applicant filings were detected in the current corpus. Each leading applicant appears to be building its portfolio independently, with no joint ventures or consortium-based filings evident from the evidence.
Filing activity is heavily concentrated in the United States (16 patent records) and Europe via the EPO (7 records). China holds only 2 records and India 1, which is sparse relative to the scale of agricultural mechanization in both markets.
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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.
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