Navinfo has a total of 20 patents globally, out of which 6 have been granted. Of these 20 patents, more than 95% patents are active. The United States of America is where Navinfo has filed the maximum number of patents, followed by Netherlands and Europe. Parallelly, Netherlands seems to be the main focused R&D centre and also China is the origin country of Navinfo.
Navinfo was founded in 2002. Software development is done by Navinfo. The company creates digital maps, navigation software, and other software goods. Along with running other businesses, Navinfo also manufactures chips for car networking technologies. As of May 2023, the market cap of Navinfo is $3.9 Billion.
Do read about some of the most popular patents of Navinfo which have been covered by us in this article and also you can find Navinfo patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Navinfo patent portfolio.
How many patents do the Founder and CEO of Navinfo have?
The Founder Patrick Cheng have 0 patents and CEO Cheng Peng have 0 patents.
How many patents does Navinfo have?
Navinfo has a total of 20 patents globally. These patents belong to 9 unique patent families. Out of 20 patents, 19 patents are active.
How Many Patents did Navinfo File Every Year?
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 Grant | Navinfo Applications Filed | Navinfo Patents Granted |
| 2022 | 1 | 2 |
| 2021 | 9 | 4 |
| 2020 | 8 | – |
| 2019 | 2 | – |
How many Navinfo patents are Alive/Dead?
Worldwide Patents
How Many Patents did Navinfo File in Different Countries?
Countries in which Navinfo Filed Patents
| Country | Patent |
| United States Of America | 10 |
| Netherlands | 6 |
| Europe | 4 |
Where are Research Centers of Navinfo Patents Located?
List of Navinfo patents
| Navinfo Patent | Title |
| US11538166B2 | Semantic Segmentation Architecture |
| US11210547B2 | Real-Time Scene Understanding System |
| US20230123493A1 | Differencing Based Self-Supervised Pretraining For Change Detection (D-Sscd) |
| US20230114762A1 | Semantic Segmentation Architecture |
| US20230076893A1 | Complementary Learning System Based Experience Replay (Cls-Er) |
| US20220156882A1 | Computer-Implemented Method To Improve Scale Consistency And/Or Scale Awareness In A Model Of Self-Supervised Depth And Ego-Motion Prediction Neural Networks |
| US20220092320A1 | Method And System For Generating Ground-Truth Annotations Of Roadside Objects In Video Data |
| US20220044116A1 | Computer-Implemented Method Of Training A Computer-Implemented Deep Neural Network And Such A Network |
| US20210342589A1 | System And Method For Computing The 3D Position Of A Semantic Landmark In Images From The Real World |
| US20210166123A1 | Method For Training A Robust Deep Neural Network Model |
| EP4167185A1 | Differencing Based Self-Supervised Pretraining For Change Detection (D-Sscd) |
| EP4002215A1 | Method To Improve Scale Consistency And/Or Scale Awareness In A Model Of Self-Supervised Depth And Ego-Motion Prediction Neural Networks |
| EP3905198A1 | System And Method For Computing The 3D Position Of A Semantic Landmark In Images From The Real World |
| NL2026491B1 | A Method Of Training A Deep Neural Network And Such A Network |
| NL2025452B1 | System And Method For 3D Positioning A Landmark In Images From The Real World |
| NL2025236B1 | A Semantic Segmentation Architecture |
| NL2025214B1 | A Method For Training A Robust Deep Neural Network Model |
| NL2030052A | Differencing Based Self-Supervised Pre-Training For Change Detection (D-Sscd) |
| NL2026528A | Ethod And System For Labelling Objects In A Roadside Video |
| EP3712811A1 | Real-Time Scene Understanding System |
What are Navinfo key innovation segments?
What Technologies are Covered by Navinfo?
The chart below distributes patents filed by Navinfo