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Road Roller and Intelligent Compaction Patents: Who Leads 2026

Road Roller and Intelligent Compaction Patents: Who Leads 2026
https://www.patsnap.com/resources/blog/rd-blog/road-roller-and-intelligent-compaction-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Road Construction Machinery
Road Roller and Intelligent Compaction Patents
  • Concentrated at the top. the five most active filers together hold 56.9% of all 58 records in scope, and the top ten hold 79.3% — this is a field with a short list of entrenched claimants.
  • Flat, not falling, filing. 2021 and 2024 both sit at 5 filings for the leading rate — read the 2025-2026 dip as publication lag, not declining interest, since publication trails filing by roughly 18 months.
  • Positioning and imaging are catching up to earthmoving. G01S positioning classes appear on 24.1% of records and G01C/G06T each on 15.5%, alongside the traditional E01C/E02F civil-works classes — sensing is now co-claimed with the mechanical base.
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58
Published Records
57%
Top-5 Share of All Records
0%
Filing Growth 2021→2024
CN
Leading Jurisdiction

Filing growth compares 2021 (5 records) with 2024 (5) — 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 58 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 landscape tracks 58 published records at the intersection of vibratory and oscillatory road rollers and the sensing and feedback systems used to measure and control compaction in real time — compaction meter value tracking, pass-count mapping, vibration amplitude control, soil stiffness feedback and satellite-based positioning of the drum. The scope spans 2015 through the 2026-07-31 data cut-off, capturing both the mechanical compactor art and the software/sensor layer now filed alongside it.

Filing is uneven across the window, with a peak in 2019 and a flat multi-year run since — a pattern more consistent with a maturing, incrementally-claimed field than a fast-growing one. Assignee concentration is high enough that a freedom-to-operate review should start with the ranked leaders rather than a broad art search.

Filing activity and technology mix, 2015-2026
  1. 1HITACHI CONSTRUCTION MACHINERY CO LTD12
  2. 2BEIJING BAIDU NETCOM SCI & TECH CO LTD6
  3. 3CATERPILLAR PAVING PROD INC5
  4. 4RAILWAY CONSTR RES INST OF CHINA ACAD OF RAILWAY SCI CO LTD5
  5. 5CHINA ACADEMY OF RAILWAY SCI CORP LTD5
  6. 6SHANGHAI HUACE NAVIGATION TECH4
  7. 7OCTAGON I O LTD3
  8. 8SINOHYDRO ENG BUREAU 42
  9. 9KUBOTA CORP2
  10. 10BEIJING TIEKE SPECIAL ENG TECH CO LTD2
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Road Roller and Intelligent Compaction 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 trends and technology composition

Figures below use the same denominators throughout: shares of filing trend are read against the annual counts, and every IPC share is read against all 58 records in scope. Because a single record can carry more than one IPC class, the class shares sum to well over 100%.

Filing trend: a 2019 peak, then a plateau

Filings rose from nothing in 2017 to a peak of 14 in 2019, then settled into a lower, flatter pattern; the leading-rate comparison of 2021 (5) against 2024 (5) shows 0% growth over that span. Treat 2025 and 2026 as still filling in rather than as a real slowdown, since publication lags filing by roughly 18 months.

Filing trend: a 2019 peak, then a plateau048111502017201814201920202021202220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

Technology composition: civil works plus a sensing layer

E01C (roads and pavements) and E02F (excavating and earth moving) remain the largest classes at 37.9% and 29.3% of records respectively, but G01S positioning and radar appears on 24.1%, and G01C navigation and G06T image processing each reach 15.5% — evidence that satellite positioning and imaging feedback are now routinely co-claimed with the mechanical compactor rather than filed separately.

Technology composition: civil works plus a sensing layerE01C · Roads & pavements2237.9%E02F · Excavating & earth moving1729.3%G01S · Radar, sonar & positioning1424.1%G01C · Distance, navigation & gyrosco…915.5%G06T · Image data processing & genera…915.5%E02D · Foundations & earth drilling46.9%G06F · Electric digital data processi…46.9%G01N · Material analysis & testing35.2%Other1729.3%

Shares are the percentage of the 58 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 Road Roller and Intelligent Compaction covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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This page is one run against one query. Ask Eureka your own question about road roller and intelligent compaction and every answer comes back with the patent numbers behind it.

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Key Patents

Most-cited records in this landscape

Representative Patent
US20120155961A12012-06-21

Oscillatory Compaction Method — US20120155961A1

CATERPILLAR PAVING PRODUCTS INC.

A method for compacting granular material surfaces using wheeled compaction equipment — pneumatic-tire, drum-type and asphalt compactors. A controller sends a first, substantially constant propel command, then a second, varying propel command that speeds up or slows the equipment, causing the compaction speed to oscillate and improving the compaction process.Filed by Caterpillar Paving Products Inc.; one of the most-cited records in this landscape at 15 citations.

US20120155961A1 — patent drawing 1US20120155961A1 — patent drawing 2
View full record
Highest-citation records
#Publication no.Patent titleCitations
1CN114674366A一种道路压实质量实时监控反馈系统18
2WO2025080321A1Systems and methods for industrial operations17
3CN109898391A基于无人驾驶及信息化检测技术的路基智能压实系统16
4US20120155961A1Oscillatory Compaction Method15
5CN114134784A基于振动轮实际振幅的路基压实质量连续检测系统与方法12
6CN205581306U一种用于记录压路机碾压轨迹的数据采集设备11
7US8439598B2Oscillatory compaction method11
8CN109443360A一种基于多边形的车辆行驶轨迹生成及拼接算法9
9US20210364654A1GNSS/IMU surveying and mapping system and method8
10US20230003893A1Method and apparatus for detecting operating terrain, and engineering equipment for detecting operating terra…7

Ranked by citation count within this searched corpus. Older records accumulate more citations by virtue of age, so treat this as a signal of influence rather than of current technical importance.

Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. 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 Road Roller and Intelligent Compaction 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 strategy

Three patterns stand out once concentration, trend and class composition are read together.

Concentration
56.9% / 79.3%
top 5 / top 10 share of 58 records

A short list of entrenched claimants

The five most active filers hold 56.9% of all 58 records in scope, and the top ten hold 79.3%. A field this concentrated rewards designing around specific claim families over broad novelty searching, since most of the occupied claim space belongs to a small group.

Based on the assignee ranking of 35 companies.
Filing trend
5 → 5
leading-rate filings, 2021 vs 2024

Plateau, not decline

Filing peaked in 2019 at 14 and has since flattened; the 2021-to-2024 comparison shows 0% growth at the leading rate. The apparent drop in 2025-2026 reflects publication lag rather than falling interest, so it should not be read as the field cooling.

2024 is the most recent year treated as complete.
Technology mix
24.1%
of records carry G01S positioning claims

Sensing is now co-claimed with the mechanical base

E01C and E02F remain the largest classes, but positioning (G01S), navigation (G01C) and image processing (G06T) each appear on a meaningful share of records. New filings increasingly pair drum mechanics with a positioning or vision-based feedback claim rather than filing either alone.

Shares sum above 100% because records carry multiple IPC classes.
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to road roller and intelligent compaction, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Road Roller and Intelligent Compaction 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 where the gaps sit

The ranked leaders span construction-equipment OEMs, Chinese railway research institutes and at least one internet/technology entrant, reflecting how compaction quality control has become a software and sensor problem as much as a mechanical one.

Leader
12 records
filings by the top-ranked assignee

A construction-equipment incumbent sets the pace

The leading assignee holds more than double the fifth-place count of 5, a gap wide enough that its claim family is worth mapping before filing anything adjacent to drum vibration control or oscillatory compaction.

Leader 12 vs fifth place 5, out of 35 ranked companies.
Railway research
7 co-assignee pairs
collaborative filings identified

Chinese railway institutes file jointly

The strongest co-assignee pair links a railway construction research institute with its parent railway science academy, filing together 5 times; two further pairs link the same institute with a specialised engineering affiliate and a national railway group.

Co-assignee pairs reflect shared inventorship or joint ownership on the same record.
New entrant
0 in latest year
momentum for all six tracked assignees

Momentum has cooled across the board

Every assignee tracked for recent-year momentum, including the top filer and the internet-technology entrant, shows zero filings in the latest year — consistent with the publication-lag effect rather than an actual pullback from the space.

Latest-year counts are understated by publication lag of roughly 18 months.
🔍
Under-claimed branches worth a closer look
These sub-areas sit at low IPC shares relative to the core E01C/E02F classes, suggesting room for a first-mover claim.
soil stiffness feedback loopspass-count mapping overlayscompaction meter value calibrationmaterial analysis integration (G01N)foundation-specific compaction control (E02D)
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Hitachi Construction Machinery Co., Ltd.0
Beijing Baidu Netcom Science & Technology Co., Ltd.0
Railway Construction Research Institute of China Academy of Railway Sciences Corporation Limited0
China Academy of Railway Sciences Corporation Limited0
Shanghai Huace Navigation Technology Co., Ltd.0
Caterpillar Paving Products Inc.0
Caterpillar Inc.0
OCTAGON I O LTD0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Road Roller and Intelligent Compaction 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 next

The dataset points to specific follow-up work rather than a general watch brief.

Map the leader's claim family

With the top assignee holding 12 of 58 records, a full claim chart of its drum-vibration and feedback patents should precede any new filing in that space.

Explore assignee claims in Eureka →

Track the railway-institute cluster

The co-assignee pairs among Chinese railway research bodies suggest a coordinated filing program worth monitoring for new joint applications.

Set up assignee alerts in Eureka →

Watch the sensing-layer classes

G01S, G01C and G06T shares suggest positioning and vision feedback are becoming standard co-claims; track new filings that pair these with E01C/E02F.

Build a class-based watch in Eureka →
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Road Roller and Intelligent Compaction 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 Road Roller and Intelligent Compaction 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.

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