Patent Landscape Report on

Communication and Path Prediction Systems for Autonomous Vehicles (AV-CPPS)

Competitive landscape focusing on the communication and path prediction systems used in Autonomous Vehicles (AV) Industry

Introduction

The Patent Landscape Report on Communication and Path Prediction Systems for Autonomous Vehicles (AV-CPPS) discusses the development in the Automobile Industry’s Autonomous Vehicles sector with the development of the ICT industry in this 21st century. With the advancement in communication technologies, the AV industry has seen a sharp rise in patent filing since 2014. While the automobile giants like Toyota, GM, Ford, etc. are leading the front, startups like LYFT and AURORA are playing a significant role in transforming the ever dreamt AV tech into reality.

For self-driving cars to be successful, they need to have a system which can intelligently handle the surrounding environment. This can only happen when they will have a sense of the outer world just like humans. Self-driving needs to communicate with the other cars, passengers, and surrounding

Path Prediction is based on either model based or data driven approach. Predicting vehicle trajectories, angle, and speed is important for safe and comfortable driving. Multiple-model algorithms for maneuvering target tracking are used to predict the behaviour of all dynamic objects in the space and corridor, and then based on this, to predict the trajectory of each object. These algorithms evaluate multiple possible maneuvers simultaneously for each object, then correlate them with updated on-road observations.


Patent Search Strategy

This report is based on search strategy around the communication and path prediction aspects of Autonomous Vehicles . The main intention of this searching is identifying important inventions, as well as the scope of current research activities and technical areas in which the inventions are being filed. Using PatSeer, we searched individual publications and then collapsed them to one member per Invention (Simple Families). The publications included in the report are updated as of January 2021.

Innovation Trends

Innovation Trends

While analyzing patenting trends of last 10 years we can see that, with parallel development in software, telecommunication and sensor technology since 2005 its implications can be seen in automobile industry.

Note: All the applications filed in 2019 and 2020 havent been published yet and so should not be
considered as a trend pattern

Top Companies (Leaders, Challengers and Visionaries)

Promising Companies

Companies like Samsung , Nissan , ZF Friedrichshafen have smaller portfolios as compared to others for communication and path prediction application of autonomous vehicles but they can still challenge some of the top companies in terms of the quality of their inventions

Research Activity around the World

Research Activity Around the World

Analysis of the top applicant countries show the dominance of China, Japan, USA, Germany, and Korea.

Patent Filing Trends

Patent filing trends communication and path prediction system for autonomous vehicles

Since 2015 there is sharp increase in AV related patents this is due to development in IT, data analytics systems like internet of things, neural network, machine learning, artificial intelligence and development of taxi service providers like UBER worldwide, which helped in development of patents related to navigation, route selection, positioning and localization.

Note: All the applications filed in 2019 and 2020 havent been published yet and so should not be considered as a trend pattern.

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Table of Content

  • Introduction and Background
  • Filing Trends for AV-CPPS
    Innovation Trends
    Pace of Innovation
    Prominent Inventor Country
    Patent Filing Trends
  • Research Landscape for AV-CPPS
    Research Activity Around The World
    Top Research Areas by CPC Classification
    Prominent Technical Areas – Automatically generated
    Prominent Technical Areas – Manually Categorized
    Industries across which AV-CPPS records fall into
  • Company Trends for AV-CPPS (Quantitative)
    Company Innovation TimeLine
    Companies across Communication System Technologies
    Companies across methods for Path Prediction and Tracking
    Companies across Signal Processing and Diagnosis
    Companies across Battery Related Applications
    Companies portfolios in AV-CPPS and their Industry mappings

  • Portfolio Analysis-Key Companies for AV-CPPS (Qualitative)
    Most Valuable Portfolios
    Top Companies (Leaders, Chellengers and Visionaries)
    Emerging Companies / New Entrants
  • Other Insights
    Records with Maximum Backward Citations
    Records with Maximum Forward Citations
    Records with maximum Non-Patent Literature References Cited
    Industry Wise Key Statistics Report (AV-CPPS)
    Standard Essential Patents for Communication and Path Prediction Systems of Autonomous Vehicles
    Citation Analysis – US9494937
    Citation Analysis – US7912628
    Citation Analysis – US7979172
    Citation Analysis – US6859148
    Prominent Autonomous Vehicle Projects and Partnerships
    Notable Mergers
    Prominent Startups
  • Summary
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