Assessing the Status of Autonomous Vehicles Innovation Using Patent Data

Assessing the Status of Autonomous Vehicles Innovation Using Patent Data PDF Author: Mamy Traore
Publisher:
ISBN:
Category : Automated vehicles
Languages : en
Pages : 59

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Book Description
"The transportation industry is undergoing an unprecedented revolution as researchers in the field expect the adoption of autonomous vehicles (AV) in a not-too-distant future. Even though there is no fully automated vehicle on the road currently, several features of driver’s assistance (e.g., lane departure warning, rear cameras, blind-spot warning) are integrated into most of the recent vehicles. It is therefore fundamental for industry leaders and policymakers to comprehend the state-of-the-art of AV innovation. The main purpose of this study is to assess the current status of AV innovations in the U.S. market. My analysis, based on more than 2,000 patents retrieved from the United States Patent and Trademark Office’s (USPTO) PatentsView database, has five main findings. First, there is a significant increase in autonomous vehicle patents approved by USPTO since 2010. Between 2010 to 2018, the number of patents increased by about 18 folds from 27 to 516. Secondly, in terms of AV innovators, the new entrant high-tech companies are taking over the incumbent automakers in the AV technologies. Third, industries involved in AV innovation have unequal levels of development in different technology sectors and fields. High-tech companies are leading in smart environment technologies. The incumbent automakers had an established predominance in the vehicle platform technologies. Fourth, of all the patents approved by the USPTO, about two-thirds are held by US companies, and one third held by foreign companies primarily from Asia and Europe. Fifth, in the US, California is the epicenter of AV innovation with nearly 40 percent of US patents. Michigan holds 18 percent of the total, given the presence of traditional automobile manufacturers including Ford and GM."--Abstract.

Assessing the Status of Autonomous Vehicles Innovation Using Patent Data

Assessing the Status of Autonomous Vehicles Innovation Using Patent Data PDF Author: Mamy Traore
Publisher:
ISBN:
Category : Automated vehicles
Languages : en
Pages : 59

Get Book Here

Book Description
"The transportation industry is undergoing an unprecedented revolution as researchers in the field expect the adoption of autonomous vehicles (AV) in a not-too-distant future. Even though there is no fully automated vehicle on the road currently, several features of driver’s assistance (e.g., lane departure warning, rear cameras, blind-spot warning) are integrated into most of the recent vehicles. It is therefore fundamental for industry leaders and policymakers to comprehend the state-of-the-art of AV innovation. The main purpose of this study is to assess the current status of AV innovations in the U.S. market. My analysis, based on more than 2,000 patents retrieved from the United States Patent and Trademark Office’s (USPTO) PatentsView database, has five main findings. First, there is a significant increase in autonomous vehicle patents approved by USPTO since 2010. Between 2010 to 2018, the number of patents increased by about 18 folds from 27 to 516. Secondly, in terms of AV innovators, the new entrant high-tech companies are taking over the incumbent automakers in the AV technologies. Third, industries involved in AV innovation have unequal levels of development in different technology sectors and fields. High-tech companies are leading in smart environment technologies. The incumbent automakers had an established predominance in the vehicle platform technologies. Fourth, of all the patents approved by the USPTO, about two-thirds are held by US companies, and one third held by foreign companies primarily from Asia and Europe. Fifth, in the US, California is the epicenter of AV innovation with nearly 40 percent of US patents. Michigan holds 18 percent of the total, given the presence of traditional automobile manufacturers including Ford and GM."--Abstract.

Measuring Innovation in the Autonomous Vehicle Technology

Measuring Innovation in the Autonomous Vehicle Technology PDF Author: Maryam Zehtabchi
Publisher: WIPO
ISBN:
Category : Law
Languages : en
Pages : 36

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Book Description
Automotive industry is going through a technological shock. Multiple intertwined technological advances (autonomous vehicle, connect vehicles and mobility-as-a-Service) are creating new rules for an industry that had not changed its way of doing business for almost a century. Key players from the tech and traditional automobile sectors – although with different incentives – are pooling resources to realize the goal of self-driving cars. AV innovation by auto and tech companies’ innovation is still largely home based, however, there is some shifting geography at the margin. AV and other related technologies are broadening the automotive innovation landscape, with several IT-focused hotspots – which traditionally were not at the center of automotive innovation – gaining prominence.

Driverless Car Technology

Driverless Car Technology PDF Author:
Publisher: LexInnova Technologies, LLC
ISBN:
Category : Law
Languages : en
Pages : 24

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Book Description
Driverless cars represent a disruptive technological change in transportation as we know it. These vehicles are capable of sensing, navigating, and communicating with their external surroundings without any human intervention. They leverage various technologies including imaging, radar, laser optics, and GPS to navigate through dynamically changing road environments. In this report, we analyze the Intellectual Property (Patents) landscape of driverless car technology. Our analysis reveals key aspects relating to innovation in this technology, including filing trends, top assignees, their portfolio strength, and geographical coverage.

Autonomous Vehicles, Volume 1

Autonomous Vehicles, Volume 1 PDF Author: Romil Rawat
Publisher: John Wiley & Sons
ISBN: 1119871964
Category : Technology & Engineering
Languages : en
Pages : 324

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Book Description
AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

The Routledge Companion to Technology Management

The Routledge Companion to Technology Management PDF Author: Tugrul Daim
Publisher: Taylor & Francis
ISBN: 1000596664
Category : Business & Economics
Languages : en
Pages : 691

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Book Description
Bringing together an international range of expertise, this comprehensive Companion to Technology Management is designed to facilitate the development of management frameworks adaptable for a wide range of organizations, as well as an overview of the development and integration of technology in advanced and emerging economies. Research-based and drawing on a range of practical tools and international cases, it covers the diverse spectrum of the challenges of technology management and how to approach them: I Fundamentals of Technology Management provides an overview of the fundamental aspects of technology management. II Technology Planning focusses on technology-driven organizations, government labs and universities. III Technology Evaluation includes evaluation and assessment, adoption and forecasting through management tools. IV Technology Development and Transfer includes integration, marketing and intellectual property management. V Managing Technological Innovations addresses policy, open innovation and technology entrepreneurship. VI Society and Technology Management focusses on social issues which impact technology and its management. VII New Technologies and Emerging Regions includes blockchain, biotechnologies and smart cities. This Companion is an essential comprehensive source of new and emerging approaches for researchers and advanced students in engineering and technology management, as well as professionals seeking an authoritative global reference source.

Autonomous Driving

Autonomous Driving PDF Author: Markus Maurer
Publisher: Springer
ISBN: 3662488477
Category : Technology & Engineering
Languages : en
Pages : 698

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Book Description
This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".

Smart Vehicles for Communication, Volume 2

Smart Vehicles for Communication, Volume 2 PDF Author: Romil Rawat
Publisher: John Wiley & Sons
ISBN: 1394152256
Category : Technology & Engineering
Languages : en
Pages : 356

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Book Description
AUTONOMOUS VEHICLES The companion to Autonomous Vehicles Volume 1: Using Machine Intelligence, this second volume in the two-volume set covers intelligent techniques utilized for designing, controlling, and managing vehicular systems based on advanced algorithms of computing like machine learning, artificial intelligence, data analytics, and Internet of Things (IoT) with prediction approaches to avoid accidental damages, security threats, and theft. Besides communicating with other vehicles, self-driving cars connected to a 5G network will also be able to communicate with different infrastructure elements that make up our roads and other transportation and communication systems. Similarly, an unmanned aerial vehicle (UAV), an aircraft without any human pilot, crew, or passengers on board, can operate under remote control by a human operator, as a remotely-piloted aircraft (RPA), or with various degrees of autonomy. These include autopilot assistance and fully autonomous aircraft that have no provision for human intervention. Transportation is a necessary, but often painful process. With fully autonomous driving, passengers will be freed to accomplish their own goals, turning the dead hours of driving into fruitful hours of learning, working, engaging, and relaxing. Similarly, UAVs can perform functions that human-operated aircraft cannot, whether because of the environment or high-risk situations. The purpose of the book is to present the needs, designs, and applications of autonomous vehicles. The topics covered range from mechanical engineering to computer science engineering, both areas playing vital roles in programming, managing, generating alerts, and GPS position, artificial intelligence-based prediction of path and events, as well as other high-tech tools, are covered in this book, as well. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Using Patent Analysis to Explore the Development of Autonomous Driving Technology

Using Patent Analysis to Explore the Development of Autonomous Driving Technology PDF Author: Zi-Hao Ong
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Autonomous Vehicles

Autonomous Vehicles PDF Author: A. Mary Sowjanya
Publisher: John Wiley & Sons
ISBN: 1119871956
Category : Technology & Engineering
Languages : en
Pages : 324

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Book Description
AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Autonomous Vehicles

Autonomous Vehicles PDF Author: Steven Van Uytsel
Publisher: Springer Nature
ISBN: 9811592551
Category : Law
Languages : en
Pages : 229

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Book Description
This edited book aims to address challenges facing the deployment of autonomous vehicles. Autonomous vehicles were predicted to hit the road by 2017. Even though a high degree of automation may have been achieved, vehicles that can drive autonomously under all circumstances are not yet commercially available, and the predictions have been adjusted. Now, experts even say that we are still decades away from fully autonomous vehicles. In this volume, the authors form a multidisciplinary team of experts to discuss some of the reasons behind this delay. The focus is on three areas: business, technology, and law. The authors discuss how the traditional car manufacturers have to devote numerous resources to the development of a new business model, in which the sole manufacturing of vehicles may no longer be sufficient. In addition, the book seeks to introduce how technological challenges are creating a shift toward connected autonomous vehicles. Further, it provides insight into how regulators are responding to the insufficiently tested technology and how lawyers try to answer the liability question for accidents with these autonomous vehicles.