Perceptive Automata Patents – Insights & Stats (Updated 2023)

Perceptive Automata has a total of 32 patents globally, out of which 17 have been granted. Of these 32 patents, more than 87% patents are active. United States of America is where Perceptive Automata has filed the maximum number of patents, followed by Europe and India. Parallelly, United States of America seems to be the main focused R&D centre and also is the origin country of Perceptive Automata.

Perceptive Automata was founded in the year 2015. The Company enables those vehicles to understand what people might do next so they can navigate safely and smoothly around humans.

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

How many patents does Perceptive Automata have?

Perceptive Automata has a total of 32 patents globally. These patents belong to 13 unique patent families. Out of 32 patents, 28 patents are active.

How Many Patents did Perceptive Automata File Every Year?

Perceptive Automata Patent Filing

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 GrantPerceptive Automata Applications FiledPerceptive Automata Patents Granted
20238
20223
2021114
2020121
201961
20182
20171

How many Perceptive Automata patents are Alive/Dead?

Perceptive Automata Patent Portfolio

How Many Patents did Perceptive Automata File in Different Countries?

Perceptive Automata Worldwide Patent Filing

Countries in which Perceptive Automata Filed Patents

CountryPatents
United States Of America23
Europe4
India1

Where are Research Centres of Perceptive Automata Patents Located?

The Research Centre for all the Perceptive Automata patents is the United States of America.

10 Best Perceptive Automata Patents

USD928803S1 is the most popular patent in the Perceptive Automata portfolio. It has received 17 citations so far from companies like Winkk, Inc., Apple and Microsoft Corporation.

Below is the list of 10 most cited patents of Perceptive Automata:

Publication NumberCitation Count
USD928803S117
US10614344B216
US10402687B213
US20210182604A113
US20210114627A19
USD928804S18
USD928177S15
US11518413B24
US20210357662A13
US20210182605A13

What Percentage of Perceptive Automata US Patent Applications were Granted?

Perceptive Automata (Excluding its subsidiaries) has filed 20 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 8 have been granted leading to a grant rate of 100.0%.

Below are the key stats of Perceptive Automata patent prosecution at the USPTO.

Which Law Firms Filed Most US Patents for Perceptive Automata?

Law FirmTotal ApplicationsSuccess Rate
Fenwick & West Llp20100.00%

List of Perceptive Automata Patents

Perceptive Automata PatentsTitle
US11772663B2Neural Network Based Modeling And Simulation Of Non-Stationary Traffic Objects For Testing And Development Of Autonomous Vehicle Systems
US11763163B2Filtering User Responses For Generating Training Data For Machine Learning Based Models For Navigation Of Autonomous Vehicles
US11753046B2System And Method Of Predicting Human Interaction With Vehicles
US11733703B2Automatic Braking Of Autonomous Vehicles Using Machine Learning Based Prediction Of Behavior Of A Traffic Entity
US11667301B2Symbolic Modeling And Simulation Of Non-Stationary Traffic Objects For Testing And Development Of Autonomous Vehicle Systems
US11615266B2Adaptive Sampling Of Stimuli For Training Of Machine Learning Based Models For Predicting Hidden Context Of Traffic Entities For Navigating Autonomous Vehicles
US11572083B2Neural Network Based Prediction Of Hidden Context Of Traffic Entities For Autonomous Vehicles
US11551030B2Visualizing Machine Learning Predictions Of Human Interaction With Vehicles
US11520346B2Navigating Autonomous Vehicles Based On Modulation Of A World Model Representing Traffic Entities
US11518413B2Navigation Of Autonomous Vehicles Using Turn Aware Machine Learning Based Models For Prediction Of Behavior Of A Traffic Entity
US11467579B2Probabilistic Neural Network For Predicting Hidden Context Of Traffic Entities For Autonomous Vehicles
US11126889B2Machine Learning Based Prediction Of Human Interactions With Autonomous Vehicles
USD928803S1Display Panel Of A Programmed Computer System With A Graphical User Interface
USD928804S1Display Panel Of A Programmed Computer System With A Graphical User Interface
USD928177S1Display Panel Of A Programmed Computer System With A Graphical User Interface
US10614344B2System And Method Of Predicting Human Interaction With Vehicles
US10402687B2System And Method Of Predicting Human Interaction With Vehicles
US20210356968A1Scenario Identification For Validation And Training Of Machine Learning Based Models For Autonomous Vehicles
US20210357662A1Ground Truth Based Metrics For Evaluation Of Machine Learning Based Models For Predicting Attributes Of Traffic Entities For Navigating Autonomous Vehicles
US20210182604A1System And Method Of Predicting Human Interaction With Vehicles
US20210182605A1System And Method Of Predicting Human Interaction With Vehicles
US20210133500A1Generating Training Datasets For Training Machine Learning Based Models For Predicting Behavior Of Traffic Entities For Navigating Autonomous Vehicles
US20210114627A1Neural Networks For Navigation Of Autonomous Vehicles Based Upon Predicted Human Intentions
EP4149807A1Turn Aware Machine Learning For Traffic Behavior Prediction
EP4149808A1Scenario Identification For Validation And Training Of Machine Learning Based Models For Autonomous Vehicles
EP3918590A4Neural Network Based Navigation Of Autonomous Vehicles Through Traffic Entities
EP3701418A4System And Method Of Predicting Human Interaction With Vehicles
IN202147039120ANeural Network Based Navigation Of Autonomous Vehicles Through Traffic Entities
WO2021231985A1Turn Aware Machine Learning For Traffic Behavior Prediction
WO2021231986A1Scenario Identification For Validation And Training Of Machine Learning Based Models For Autonomous Vehicles
WO2020160276A1Neural Network Based Navigation Of Autonomous Vehicles Through Traffic Entities
WO2019112912A1System And Method Of Predicting Human Interaction With Vehicles

What are Perceptive Automata key innovation segments?

What Technologies are Covered by Perceptive Automata?

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

R&D Focus: How has Perceptive Automata search focus changed over the years?

EXCLUSIVE INSIGHTS COMING SOON!

Interested in knowing about the areas of innovation that are being protected by Perceptive Automata?

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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.