Navinfo Europe Patents – Insights & Stats (Updated 2023)

Navinfo Europe has a total of 46 patents globally, out of which 10 have been granted. Of these 46 patents, more than 97% patents are active. United States of America is where Navinfo Europe has filed the maximum number of patents, followed by Netherlands and Europe. Parallelly, United States of America seems to be the main focused R&D centre and also Netherlands is the origin country of Navinfo Europe.

Navinfo Europe was founded in the year 2014. The Company incorporates the European Advanced Research Lab and Corporate Development activities for NavInfo.

Do read about some of the most popular patents of Navinfo Europe which have been covered by us in this article and also you can find Navinfo Europe patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Navinfo Europe patent portfolio.

How many patents does Navinfo Europe have?

Navinfo Europe has a total of 46 patents globally. These patents belong to 19 unique patent families. Out of 46 patents, 45 patents are active.

How Many Patents did Navinfo Europe File Every Year?

Navinfo Europe Patent Filing Trend

Are you wondering why there is a drop in patent filing for the last two years? It is because a patent application can take up to 18 months to get published. Certainly, it doesn’t suggest a decrease in the patent filing.

Year of Patents Filing or GrantNavinfo Europe Applications FiledNavinfo Europe Patents Granted
20234
2022272
202194
20208
20192

How many Navinfo Europe patents are Alive/Dead?

Navinfo Europe Patent Portfolio

 How Many Patents did Navinfo Europe File in Different Countries?

Navinfo Europe Worldwide Patent Filing

Countries in which Navinfo Europe Filed Patents

CountryPatents
United States Of America20
Netherlands14
Europe12

Where are Research Centres of Navinfo Europe Patents Located?

R&D Centers of Navinfo Europe

Best Navinfo Europe Patents

US20220156882A1 is the most popular patent in the Navinfo Europe portfolio. It has received 4 citations so far from company like Toyota Research Institute, Inc.

What Percentage of Navinfo Europe US Patent Applications were Granted?

Navinfo Europe (Excluding its subsidiaries) has filed 7 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 2 have been granted leading to a grant rate of 100.0%.

Below are the key stats of Navinfo Europe patent prosecution at the USPTO.

Which Law Firms Filed Most US Patents for Navinfo Europe?

Law FirmTotal ApplicationsSuccess Rate
Peacock Law P C7100.00%

List of Navinfo Europe Patents

Navinfo Europe PatentsTitle
US11538166B2Semantic Segmentation Architecture
US11210547B2Real-Time Scene Understanding System
US20230289977A1Differencing Based Self-Supervised Scene Change Detection (D-Sscd) With Temporal Consistency
US20230281438A1Consistency-Regularization Based Approach For Mitigating Catastrophic Forgetting In Continual Learning
US20230281985A1Similarity Guided Progressive Decoder Fusion In Neural Networks Deep Learning
US20230281978A1Method To Add Inductive Bias Into Deep Neural Networks To Make Them More Shape-Aware
US20230281451A1Computer-Implemented Method Of Synaptic Consolidation And Experience Replay In A Dual Memory Architecture
US20230258471A1Ai Based Change Detection System For Executing A Method To Detect Changes In Geo-Tagged Videos To Update Hd Maps
US20230252279A1Self-Supervised Based Approach For Mitigating Catastrophic Forgetting In Continuous Learning
US20230252769A1Self-Supervised Mutual Learning For Boosting Generalization In Compact Neural Networks
US20230245463A1Computer-Implemented Method Of Self-Supervised Learning In Neural Network For Robust And Unified Estimation Of Monocular Camera Ego-Motion And Intrinsics
US20230237785A1Deep Learning Based Multi-Sensor Detection System For Executing A Method To Process Images From A Visual Sensor And From A Thermal Sensor For Detection Of Objects In Said Images
US20230123493A1Differencing Based Self-Supervised Pretraining For Change Detection (D-Sscd)
US20230114762A1Semantic Segmentation Architecture
US20230076893A1Complementary Learning System Based Experience Replay (Cls-Er)
US20220156882A1Computer-Implemented Method To Improve Scale Consistency And/Or Scale Awareness In A Model Of Self-Supervised Depth And Ego-Motion Prediction Neural Networks
US20220092320A1Method And System For Generating Ground-Truth Annotations Of Roadside Objects In Video Data
US20220044116A1Computer-Implemented Method Of Training A Computer-Implemented Deep Neural Network And Such A Network
US20210342589A1System And Method For Computing The 3D Position Of A Semantic Landmark In Images From The Real World
US20210166123A1Method For Training A Robust Deep Neural Network Model
EP4242983A1Differencing Based Self-Supervised Scene Change Detection (D-Sscd) With Temporal Consistency
EP4239525A1A Computer-Implemented Method Of Synaptic Consolidation And Experience Replay In A Dual Memory Architecture
EP4239532A1Similarity Guided Progressive Decoder Fusion In Neural Networks Deep Learning
EP4239523A1Method To Add Inductive Bias Into Deep Neural Networks To Make Them More Shape-Aware
EP4239524A1Consistency-Regularization Based Approach For Mitigating Catastrophic Forgetting In Continuous Learning
EP4231240A1Ai Based Change Detection System For Executing A Method To Detect Changes In Geo-Tagged Videos To Update Hd Maps
EP4224372A1Self-Supervised Based Approach For Mitigating Catastrophic Forgetting In Continuous Learning
EP4216107A1Computer-Implemented Method Of Self-Supervised Learning In Neural Network For Robust And Unified Estimation Of Monocular Camera Ego-Motion And Intrinsics
EP4167185A1Differentiating Based Self-Supervised Pretraining For Change Detection (D-Sscd)
EP4002215A1Method To Improve Scale Consistency And/Or Scale Awareness In A Model Of Self-Supervised Depth And Ego-Motion Prediction Neural Networks
EP3905198A1System And Method For Computing The 3D Position Of A Semantic Landmark In Images From The Real World
NL2031335CSimilarity Guided Progressive Decoder Fusion In Neural Networks Deep Learning
NL2031097B1Ai Based Change Detection System For Executing A Method To Detect Changes In Geo-Tagged Videos To Update Hd Maps
NL2031026CSelf-Supervised Based Approach For Mitigating Catastrophic Forgetting In Continual Learning
NL2030052B1Differentiating Based Self-Supervised Pretraining For Change Detection (D-Sscd)
NL2026491B1Method Of Training A Deep Neural Network And Such A Network
NL2025452B1System And Method For 3D Positioning A Landmark In Images From The Real World
NL2025236B1A Semantic Segmentation Architecture
NL2025214B1Method For Training A Robust Deep Neural Network Model
NL2031728AConsistency-Regularization Based Approach For Mitigating Catastrophic Forgetting In Continuous Learning
NL2032131ADifferencing Based Self-Supervised Scene Change Detection (D-Sscd) With Temporal Consistency
NL2031938AA Computer-Implemented Method Of Synaptic Consolidation And Experience Replay In A Dual Memory Architecture
NL2031495AMethod To Add Inductive Bias Into Deep Neural Networks To Make Them More Shape-Aware
NL2031098AComputer-Implemented Method Of Self-Supervised Learning In Neural Network For Robust And Unified Estimation Of Monocular Camera Ego-Motion And Intrinsics
NL2026528A
EP3712811A1Real-Time Scene Understanding System

What are Navinfo Europe key innovation segments?

What Technologies are Covered by Navinfo Europe?

The chart below distributes patents filed by Navinfo Europe in different countries on the basis of the technology protected in patents. It also represents the markets where Navinfo Europe thinks it’s important to protect particular technology inventions.

R&D Focus: How has Navinfo Europe search focus changed over the years?

EXCLUSIVE INSIGHTS COMING SOON!

Interested in knowing about the areas of innovation that are being protected by Navinfo Europe?

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Our comprehensive report provides an in-depth look into the patent portfolio. The report includes a breakdown of the patent portfolio across various technologies, listing the patent along with brief summaries of each patent's technology.