Patent Landscape Report on Autonomous Car-Control Mechanism/Driverless-Car

Introduction

This patent landscape report categorizes and graphically analyzes research trends around the mechanisms, anti-collision system and braking technologies used by a driverless car from various perspectives and highlights the key companies involved.

IP Analysis

This Patent Landscape/Analysis Report on Autonomous Car-Control Mechanism / Driverless car will showcase the filing trend, top companies, research activity around the world, technology landscape and much more. Details report can be found on Patent iNSIGHT Pro websites reports section.

Filing Trend

What has been the publication trend for Driverless car?

The chart below shows number of filings for driverless cars during the last 30 years. The number of filings has steadily increased since 2000 with a minor fall in the number of filings during 2008-2009.

The overall trend has seen constant rise in the number of filings with sudden rise from the year 2011. From 40 filings in the year 1986 to nearly 700 in 2013, driverless cars have seen tremendous increase.

It’s clear the current activity around these technologies is likely to continue seeing more innovation in the near future.

Patent Filing Trend_Driver-less Car

Top Companies

The top companies in Autonomous Car-Control Mechanism are:

1. TOYOTA MOTOR CORP
2. NISSAN MOTOR CO LTD
3. ROBERT BOSCH GMBH
4. HONDA MOTOR CO LTD
5. DENSO CORP
6. GM GLOBAL TECHNOLOGIES
7. HYUNDAI MOTOR CO
8. MANDO CORP
9. MAZDA MOTORS
10. DAIMLER AG

11. FORD GLOBAL TECH LLC
12. HYUNDAI MOBIS CO LTD
13. AISIN SEIKI CO LTD
14. VOLKSWAGEN AG
15. CONTINENTAL TEVES AG
16. BMW AG
17. FUJI HEAVY INDUSTRIES
18. MITSUBISHI MOTORS
19. HITACHI LTD
20. VALEO SCHALTER UND SENSOREN GMBH

The complete Assignee table is available in the Excel file here.

Research activity around the world

The below map represents the geographical filing of patents relating to driverless car technology. The table below ranks top priority countries and helps provide an indication of where innovation in this area is originating.
Toyota which is the leading entity in driverless car technology makes Japan the leading country in this field with 3089 families followed by Germany (1432) and US (915). The strength of the coloring represents the proportion of patent publications.

Research_activity_acrossworld_driverless_car

Technology Landscape

The contour map below represents key concepts for different companies across various mechanisms used in a driverless car.

Clusters for Cruise Control and Propulsion and the records relating speed of the vehicle namely Wheel Speed Sensor and Steering are close to each other as there is high degree of relevance between the records present in those types of methods. The patents represented by dots were coloured by company.

Contour

The entire report is available for download here: Patent Landscaping – Biochips

Customization of Patent iNSIGHT Pro for seamless patent research & analysis workflows.

Patent iNSIGHT Pro is a comprehensive patent analysis platform we launched in 2006 which allows users to accelerate their processes in patent analysis and scientific literature research. Designed with advanced text mining algorithms it brings out data insights in minutes which would have otherwise taken days for researchers.  Designed with inputs from leaders in patent research, Patent iNSIGHT Pro has been used extensively by a number of organisations across the intellectual property domain and been an important platform for patent analysis, insights and reporting. While the platform is a complete standalone ready to implement and use solution, we’ve often had requests from customers who have used Patent iNSIGHT Pro as one component of a much wider set of patent research and analysis tools to customise the software and have it blend seamlessly into the existing research workflow.

A great example of this would be a reference to a project we undertook to help a leading biotech company based out of India, by customising Patent iNSIGHT Pro as closely to the internal requirements of the client and resolve some challenges they had. The existing solution used by the biotech firm was expensive and many of the advanced features and functionalities required a steep learning curve for the users. The solution was not easily customisable and could not provide reports tuned to the requirements of every department. The high cost of the product along with the complexity of the processes failed to justify the ROI from the investment at the end of the subscription period which posed a challenge to the IPR team in the selection of an alternative.

Patent iNSIGHT Pro had an upper hand being equipped with powerful analysis and mapping capabilities, being easy to use for the end users cutting the learning curve. It had been developed with constant feedback from expert patent researchers and as a result, understands the workflows of the IPR teams. Most importantly for this particular company, the ability to enable quick customisation according to IPR Team’s specific workflow requirements had been met. This lead to quick integration of the software to suit research process and requirements in the existing workflow.

After understanding the IPR’s teams requirements for Patent iNSIGHT Pro, the Gridlogics software development team initiated a customisation project with a remarkably quick turnaround time.

Some of the key functions of the application developed for our Biotech client are:

a) Search integration automation

b) Precise categorization and segmentation of patents to identify key concepts and groups within large patents sets

c)Fast and efficient relationship analyser that allows for bibliometric and white paper analysis

d) Multi functional reporting capabilities

e) Dash boarding and one click generation of maps and charts from matrices.

The customised version of Patent iNSIGHT Pro for the client has drastically reduced research and analysis process time, since deployment at the client’s side. The IPR team finds the process more user friendly, it seamlessly integrates with existing functions and processes and overheads on training and integration is minimal. It’s also managed to reduce the chances of human error by the IPR Team by automating key functions that were initially done manually.

By customising Patent iNSIGHTS Pro’s powerful analysis and visualization capabilities our client was able to  deploy a highly customised analytical engine that reduced work flow time consumption and justified the investment in the overall solution.

 

Why Consider Custom Software Development for Intellectual Property Workflows Within Your Organization?

Over the years we’ve worked with a number of enterprises and organizations that are driven by intellectual property and have considerable teams specialized in IP and patent data linked processes. Most of these organizations had developed their own systems and workflows for analysing and processing intellectual property documents and patent data over time based on how their teams were structured and how they preferred to work with IP data internally. It would often involve the use of multiple patent databases, multiple analysis tools, often spreadsheets, different software and a certain workflow which was defined.

To a team member who is an integral part of the system, it may all seem like it’s a well oiled machine and it all works well but to an outsider coming into the organization, it’s a multitude of various software tools, data sources, applications and processes which may not have been designed as a one-size-fits-all solution and not specifically tailored for the structure and workflow of this particular organization.

Custom software development for intellectual property workflows often helps integrate all the scattered data sources, tools and processes into a seamless, more efficient system tailored to the specific way your IP management and patent analysis team functions. It can help.

a)      Have your software system customized and developed around your processes and workflows rather than have an out of the box software which is designed for generic organizations or even multiple software addressing only some part of the overall requirement.

b)      Reduce inefficiencies caused by juggling multiple software tools used together in order to get things done that don’t seamlessly function together.

c)        Incorporate your organizations best practices, learnings and systems into the way your IP management or patent data software is designed and developed so it is built on what works best for your organization.

d)      Simplify the overall process by developing a system that has only the features and functions that are critical and leave out what is not relevant.

e)      Reduce long term costs by having a tailor made software system which is highly efficient, cuts waste and boosts productivity.

While the intellectual property and patent data domain have a number of great software products and applications readily available, in certain situations it could well worth taking a step back and considering if custom software development to tailor your software to your specific organizational needs may be the right way to go. It may be a short term investment towards long term improvements in the way IP data is managed within the organization.