The 2005 Darpa Grand Challenge

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The 2005 DARPA Grand Challenge

Martin Buehler,Karl Iagnemma,Sanjiv Singh
The 2005 DARPA Grand Challenge Book PDF

Author : Martin Buehler,Karl Iagnemma,Sanjiv Singh
Publisher : Springer Science & Business Media
Page : 1103 pages
File Size : 49,9 Mb
Release : 2007-09-06
Category : Technology & Engineering
ISBN : 9783540734284

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The 2005 DARPA Grand Challenge by Martin Buehler,Karl Iagnemma,Sanjiv Singh Pdf

The DARPA Grand Challenge was a landmark in the field of robotics: a race by autonomous vehicles through 132 miles of rough Nevada terrain. It showcased exciting and unprecedented capabilities in robotic perception, navigation, and control. The event took place in October 2005 and drew teams of competitors from academia and industry, as well as many garage hobbyists. This book presents fifteen technical papers that describe each team's driverless vehicle, race strategy, and insights. As a whole, they present the state of the art in autonomous vehicle technology and offer a glimpse of future technology for tomorrow’s driverless cars.

The 2005 DARPA Grand Challenge

Martin Buehler,Karl Iagnemma,Sanjiv Singh
The 2005 DARPA Grand Challenge Book PDF

Author : Martin Buehler,Karl Iagnemma,Sanjiv Singh
Publisher : Springer
Page : 522 pages
File Size : 53,6 Mb
Release : 2009-09-02
Category : Technology & Engineering
ISBN : 3540840427

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The 2005 DARPA Grand Challenge by Martin Buehler,Karl Iagnemma,Sanjiv Singh Pdf

The DARPA Grand Challenge was a landmark in the field of robotics: a race by autonomous vehicles through 132 miles of rough Nevada terrain. It showcased exciting and unprecedented capabilities in robotic perception, navigation, and control. The event took place in October 2005 and drew teams of competitors from academia and industry, as well as many garage hobbyists. This book presents fifteen technical papers that describe each team's driverless vehicle, race strategy, and insights. As a whole, they present the state of the art in autonomous vehicle technology and offer a glimpse of future technology for tomorrow’s driverless cars.

The DARPA Urban Challenge

Martin Buehler,Karl Iagnemma,Sanjiv Singh
The DARPA Urban Challenge Book PDF

Author : Martin Buehler,Karl Iagnemma,Sanjiv Singh
Publisher : Springer Science & Business Media
Page : 651 pages
File Size : 46,5 Mb
Release : 2009-11-11
Category : Technology & Engineering
ISBN : 9783642039904

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The DARPA Urban Challenge by Martin Buehler,Karl Iagnemma,Sanjiv Singh Pdf

By the dawn of the new millennium, robotics has undergone a major transformation in scope and dimensions. This expansion has been brought about by the maturity of the field and the advances in its related technologies. From a largely dominant industrial focus, robotics has been rapidly expanding into the challenges of the human world. The new generation of robots is expected to safely and dependably co-habitat with humans in homes, workplaces, and communities, providing support in services, entertainment, education, healthcare, manufacturing, and assistance. Beyond its impact on physical robots, the body of knowledge robotics has produced is revealing a much wider range of applications reaching across diverse research areas and scientific disciplines, such as: biomechanics, haptics, neurosciences, virtual simulation, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are proving an abundant source of stimulation and insights for the field of robotics. It is indeed at the intersection of disciplines that the most striking advances happen. The goal of the series of Springer Tracts in Advanced Robotics (STAR) is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their significance and quality. It is our hope that the wider dissemination of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing field.

Probabilistic Robotics

Sebastian Thrun,Wolfram Burgard,Dieter Fox
Probabilistic Robotics Book PDF

Author : Sebastian Thrun,Wolfram Burgard,Dieter Fox
Publisher : MIT Press
Page : 668 pages
File Size : 50,7 Mb
Release : 2005-08-19
Category : Technology & Engineering
ISBN : 9780262201629

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Probabilistic Robotics by Sebastian Thrun,Wolfram Burgard,Dieter Fox Pdf

An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue

Matthew Spenko,Stephen Buerger,Karl Iagnemma
The DARPA Robotics Challenge Finals Humanoid Robots To The Rescue Book PDF

Author : Matthew Spenko,Stephen Buerger,Karl Iagnemma
Publisher : Springer
Page : 684 pages
File Size : 47,8 Mb
Release : 2018-04-09
Category : Technology & Engineering
ISBN : 9783319746661

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The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue by Matthew Spenko,Stephen Buerger,Karl Iagnemma Pdf

The DARPA Robotics Challenge was a robotics competition that took place in Pomona, California USA in June 2015. The competition was the culmination of 33 months of demanding work by 23 teams and required humanoid robots to perform challenging locomotion and manipulation tasks in a mock disaster site. The challenge was conceived as a response to the Japanese Fukushima nuclear disaster of March 2011. The Fukushima disaster was seen as an ideal candidate for robotic intervention since the risk of exposure to radiation prevented human responders from accessing the site. This volume, edited by Matthew Spenko, Stephen Buerger, and Karl Iagnemma, includes commentary by the organizers, overall analysis of the results, and documentation of the technical efforts of 15 competing teams. The book provides an important record of the successes and failures involved in the DARPA Robotics Challenge and provides guidance for future needs to be addressed by policy makers, funding agencies, and the robotics research community. Many of the papers in this volume were initially published in a series of special issues of the Journal of Field Robotics. We have proudly collected versions of those papers in this STAR volume.

Machine Learning: ECML 2006

Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoulou
Machine Learning ECML 2006 Book PDF

Author : Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoulou
Publisher : Springer
Page : 851 pages
File Size : 48,5 Mb
Release : 2006-09-21
Category : Computers
ISBN : 9783540460565

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Machine Learning: ECML 2006 by Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoulou Pdf

This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held, jointly with PKDD 2006. The book presents 46 revised full papers and 36 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers present a wealth of new results in the area and address all current issues in machine learning.

Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles

Alexander Schaub
Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles Book PDF

Author : Alexander Schaub
Publisher : Springer
Page : 267 pages
File Size : 40,9 Mb
Release : 2017-07-18
Category : Technology & Engineering
ISBN : 9783658190873

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Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles by Alexander Schaub Pdf

Alexander Schaub examines how a reactive instinctive behavior, similar to instinctive reactions as incorporated by living beings, can be achieved for intelligent mobile robots to extend the classic reasoning approaches. He identifies possible applications for reactive approaches, as they enable a fast response time, increase robustness and have a high abstraction ability, even though reactive methods are not universally applicable. The chosen applications are obstacle avoidance and relative positioning – which can also be utilized for navigation – and a combination of both. The implementation of reactive instinctive behaviors for the identified tasks is then validated in simulation together with real world experiments.

The DARPA Model for Transformative Technologies: Perspectives on the U.S. Defense Advanced Research Projects Agency

William Boone Bonvillian,Richard Van Atta,Patrick Windham
The DARPA Model for Transformative Technologies Perspectives on the U S Defense Advanced Research Projects Agency Book PDF

Author : William Boone Bonvillian,Richard Van Atta,Patrick Windham
Publisher : Open Book Publishers
Page : 306 pages
File Size : 49,7 Mb
Release : 2020-01-09
Category : Technology & Engineering
ISBN : 9781783747948

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The DARPA Model for Transformative Technologies: Perspectives on the U.S. Defense Advanced Research Projects Agency by William Boone Bonvillian,Richard Van Atta,Patrick Windham Pdf

The authors have done a masterful job of charting the important story of DARPA, one of the key catalysts of technological innovation in US recent history. By plotting the development, achievements and structure of the leading world agency of this kind, this book stimulates new thinking in the field of technological innovation with bearing on how to respond to climate change, pandemics, cyber security and other global problems of our time. The DARPA Model provides a useful guide for governmental agency and policy leaders, and for anybody interested in the role of governments in technological innovation. —Dr. Kent Hughes, Woodrow Wilson International Center for Scholars This volume contains a remarkable collection of extremely insightful articles on the world’s most successful advanced technology agency. Drafted by the leading US experts on DARPA, it provides a variety of perspectives that in turn benefit from being presented together in a comprehensive volume. It reviews DARPA’s unique role in the U.S. innovation system, as well as the challenges DARPA and its clones face today. As the American model is being considered for adoption by a number of countries worldwide, this book makes a welcome and timely contribution to the policy dialogue on the role played by governments in stimulating technological innovation. — Prof. Charles Wessner, Georgetown University The U.S. Defense Advanced Research Projects Agency (DARPA) has played a remarkable role in the creation new transformative technologies, revolutionizing defense with drones and precision-guided munitions, and transforming civilian life with portable GPS receivers, voice-recognition software, self-driving cars, unmanned aerial vehicles, and, most famously, the ARPANET and its successor, the Internet. Other parts of the U.S. Government and some foreign governments have tried to apply the ‘DARPA model’ to help develop valuable new technologies. But how and why has DARPA succeeded? Which features of its operation and environment contribute to this success? And what lessons does its experience offer for other U.S. agencies and other governments that want to develop and demonstrate their own ‘transformative technologies’? This book is a remarkable collection of leading academic research on DARPA from a wide range of perspectives, combining to chart an important story from the Agency’s founding in the wake of Sputnik, to the current attempts to adapt it to use by other federal agencies. Informative and insightful, this guide is essential reading for political and policy leaders, as well as researchers and students interested in understanding the success of this agency and the lessons it offers to others.

Autonomous Road Vehicle Path Planning and Tracking Control

Levent Guvenc,Bilin Aksun-Guvenc,Sheng Zhu,Sukru Yaren Gelbal
Autonomous Road Vehicle Path Planning and Tracking Control Book PDF

Author : Levent Guvenc,Bilin Aksun-Guvenc,Sheng Zhu,Sukru Yaren Gelbal
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 46,5 Mb
Release : 2021-12-06
Category : Technology & Engineering
ISBN : 9781119747963

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Autonomous Road Vehicle Path Planning and Tracking Control by Levent Guvenc,Bilin Aksun-Guvenc,Sheng Zhu,Sukru Yaren Gelbal Pdf

Discover the latest research in path planning and robust path tracking control In Autonomous Road Vehicle Path Planning and Tracking Control, a team of distinguished researchers delivers a practical and insightful exploration of how to design robust path tracking control. The authors include easy to understand concepts that are immediately applicable to the work of practicing control engineers and graduate students working in autonomous driving applications. Controller parameters are presented graphically, and regions of guaranteed performance are simple to visualize and understand. The book discusses the limits of performance, as well as hardware-in-the-loop simulation and experimental results that are implementable in real-time. Concepts of collision and avoidance are explained within the same framework and a strong focus on the robustness of the introduced tracking controllers is maintained throughout. In addition to a continuous treatment of complex planning and control in one relevant application, the Autonomous Road Vehicle Path Planning and Tracking Control includes: A thorough introduction to path planning and robust path tracking control for autonomous road vehicles, as well as a literature review with key papers and recent developments in the area Comprehensive explorations of vehicle, path, and path tracking models, model-in-the-loop simulation models, and hardware-in-the-loop models Practical discussions of path generation and path modeling available in current literature In-depth examinations of collision free path planning and collision avoidance Perfect for advanced undergraduate and graduate students with an interest in autonomous vehicles, Autonomous Road Vehicle Path Planning and Tracking Control is also an indispensable reference for practicing engineers working in autonomous driving technologies and the mobility groups and sections of automotive OEMs.

Driven

Alex Davies
Driven Book PDF

Author : Alex Davies
Publisher : Simon and Schuster
Page : 304 pages
File Size : 50,8 Mb
Release : 2022-01-18
Category : Business & Economics
ISBN : 9781501199455

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Driven by Alex Davies Pdf

Originally published in hardcover in 2021 by Simon & Schuster.

Embedded Robotics

Thomas Bräunl
Embedded Robotics Book PDF

Author : Thomas Bräunl
Publisher : Springer Science & Business Media
Page : 536 pages
File Size : 47,9 Mb
Release : 2008-09-10
Category : Computers
ISBN : 9783540705338

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Embedded Robotics by Thomas Bräunl Pdf

"This book presents a unique examination of mobile robots and embedded systems, from introductory to intermediate level. It is structured in three parts, dealing with Embedded Systems (hardware and software design, actuators, sensors, PID control, multitasking), Mobile Robot Design (driving, balancing, walking, and flying robots), and Mobile Robot Applications (mapping, robot soccer, genetic algorithms, neural networks, behavior-based systems, and simulation)." "The book is organized for ease of use, with side-texts, and lots of figures, photographs, and worked example programs. A complementary web site offers free download of the RoBIOS operating system, example programs, online documentation, and a simulator." "The book is written as a text for courses in computer science, computer engineering, IT, electronic engineering, and mechatronics, as well as a guide for robot hobbyists and researchers."--BOOK JACKET.

Robots, Drones, UAVs and UGVs for Operation and Maintenance

Diego Galar,Uday Kumar,Dammika Seneviratne
Robots Drones UAVs and UGVs for Operation and Maintenance Book PDF

Author : Diego Galar,Uday Kumar,Dammika Seneviratne
Publisher : CRC Press
Page : 576 pages
File Size : 54,8 Mb
Release : 2020-05-07
Category : Technology & Engineering
ISBN : 9780429839177

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Robots, Drones, UAVs and UGVs for Operation and Maintenance by Diego Galar,Uday Kumar,Dammika Seneviratne Pdf

Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long distances, and can be divided into clusters or segments that provide different levels of functionality subject to different loads, degradations and environmental conditions, and their efficient management is necessary. The aim of the book is to give comprehensive understanding about the use of autonomous vehicles (context of robotics) for the utilization of inspection and maintenance activities in industrial asset management in different accessibility and hazard levels. The usability of deploying inspection vehicles in an autonomous manner is explained with the emphasis on integrating the total process. Key Features Aims for solutions for maintenance and inspection problems provided by robotics, drones, unmanned air vehicles and unmanned ground vehicles Discusses integration of autonomous vehicles for inspection and maintenance of industrial assets Covers the industrial approach to inspection needs and presents what is needed from the infrastructure end Presents the requirements for robot designers to design an autonomous inspection and maintenance system Includes practical case studies from industries

Autonomous Vehicles for Safer Driving

Ronald K Jurgen
Autonomous Vehicles for Safer Driving Book PDF

Author : Ronald K Jurgen
Publisher : SAE International
Page : 142 pages
File Size : 41,7 Mb
Release : 2013-04-16
Category : Technology & Engineering
ISBN : 9780768080391

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Autonomous Vehicles for Safer Driving by Ronald K Jurgen Pdf

Self-driving cars are no longer in the realm of science fiction, thanks to the integration of numerous automotive technologies that have matured over many years. Technologies such as adaptive cruise control, forward collision warning, lane departure warning, and V2V/V2I communications are being merged into one complex system. The papers in this compendium were carefully selected to bring the reader up to date on successful demonstrations of autonomous vehicles, ongoing projects, and what the future may hold for this technology. It is divided into three sections: overview, major design and test collaborations, and a sampling of autonomous vehicle research projects. The comprehensive overview paper covers the current state of autonomous vehicle research and development as well as obstacles to overcome and a possible roadmap for major new technology developments and collaborative relationships. The section on major design and test collaborations covers Sartre, DARPA contests, and the USDOT and the Crash Avoidance Metrics Partnership-Vehicle Safety Communications (CAMP-VSC2) Consortium. The final section presents seven SAE papers on significant recent and ongoing research by individual companies on a variety of approaches to autonomous vehicles. This book will be of interest to a wide range of readers: engineers at automakers and electronic component suppliers; software engineers; computer systems analysts and architects; academics and researchers within the electronics, computing, and automotive industries; legislators, managers, and other decision-makers in the government highway sector; traffic safety professionals; and insurance and legal practitioners.

The Real Case for Driverless Mobility

Alain L. Kornhauser,Michael L. Sena
The Real Case for Driverless Mobility Book PDF

Author : Alain L. Kornhauser,Michael L. Sena
Publisher : Elsevier
Page : 278 pages
File Size : 45,5 Mb
Release : 2024-01-26
Category : Law
ISBN : 9780443236860

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The Real Case for Driverless Mobility by Alain L. Kornhauser,Michael L. Sena Pdf

The Real Case for Driverless Mobility: Putting Driverless Vehicles to Use for Those Who Really Need a Ride explores solutions for providing mobility for the unserved/underserved, including those who cannot drive themselves, afford transport alternatives, or who live in areas where neither public nor private transport is offered. The book synthesizes the career-long activities of the authors and the Princeton SmartDrivingCars Summits and assesses whether cars without drivers can deliver an affordable and more effective alternative to mass transit and taxis. A high percentage of the residents in many U.S. cities are poor, and the jobs that remain are often not easily reached by public transit systems which struggle to deliver a minimum level of service with their limited budgets. The SDC Summits were initiated in 2017 by Alain Kornhauser to attempt to address this problem. This book presents the problem and the proposed solution in a form that can be used by a wide audience and help build a constituency, both for the proof of concept and for an eventual implementation in many cities and towns in North America and other parts of the world. Professionals, investors, researchers and students alike will find this book a valuable exploration of how driverless technology can be applied to personal transport that can be used by a large sub-group of the population who are not currently served by automobile transport and are poorly served by public transport solutions. Takes a perspective from the demand side focused on the have-nots and on assessing and designing the technology to start there and grow Looks at how to start small, achieve success, and evolve to scale, with an emphasis on affordability Discusses automated vehicles from a multidisciplinary perspective with each chapter touching on a unique issue related to AVs

Applied Deep Learning and Computer Vision for Self-Driving Cars

Sumit Ranjan,Dr. S. Senthamilarasu
Applied Deep Learning and Computer Vision for Self Driving Cars Book PDF

Author : Sumit Ranjan,Dr. S. Senthamilarasu
Publisher : Packt Publishing Ltd
Page : 320 pages
File Size : 54,8 Mb
Release : 2020-08-14
Category : Computers
ISBN : 9781838647025

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Applied Deep Learning and Computer Vision for Self-Driving Cars by Sumit Ranjan,Dr. S. Senthamilarasu Pdf

Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCV Key FeaturesBuild and train powerful neural network models to build an autonomous carImplement computer vision, deep learning, and AI techniques to create automotive algorithmsOvercome the challenges faced while automating different aspects of driving using modern Python libraries and architecturesBook Description Thanks to a number of recent breakthroughs, self-driving car technology is now an emerging subject in the field of artificial intelligence and has shifted data scientists' focus to building autonomous cars that will transform the automotive industry. This book is a comprehensive guide to use deep learning and computer vision techniques to develop autonomous cars. Starting with the basics of self-driving cars (SDCs), this book will take you through the deep neural network techniques required to get up and running with building your autonomous vehicle. Once you are comfortable with the basics, you'll delve into advanced computer vision techniques and learn how to use deep learning methods to perform a variety of computer vision tasks such as finding lane lines, improving image classification, and so on. You will explore the basic structure and working of a semantic segmentation model and get to grips with detecting cars using semantic segmentation. The book also covers advanced applications such as behavior-cloning and vehicle detection using OpenCV, transfer learning, and deep learning methodologies to train SDCs to mimic human driving. By the end of this book, you'll have learned how to implement a variety of neural networks to develop your own autonomous vehicle using modern Python libraries. What you will learnImplement deep neural network from scratch using the Keras libraryUnderstand the importance of deep learning in self-driving carsGet to grips with feature extraction techniques in image processing using the OpenCV libraryDesign a software pipeline that detects lane lines in videosImplement a convolutional neural network (CNN) image classifier for traffic signal signsTrain and test neural networks for behavioral-cloning by driving a car in a virtual simulatorDiscover various state-of-the-art semantic segmentation and object detection architecturesWho this book is for If you are a deep learning engineer, AI researcher, or anyone looking to implement deep learning and computer vision techniques to build self-driving blueprint solutions, this book is for you. Anyone who wants to learn how various automotive-related algorithms are built, will also find this book useful. Python programming experience, along with a basic understanding of deep learning, is necessary to get the most of this book.