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The 2005 Darpa Grand Challenge
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Book Synopsis The 2005 DARPA Grand Challenge by : Martin Buehler
Download or read book The 2005 DARPA Grand Challenge written by Martin Buehler and published by Springer Science & Business Media. This book was released on 2007-09-06 with total page 1103 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The 2005 DARPA Grand Challenge by : Martin Buehler
Download or read book The 2005 DARPA Grand Challenge written by Martin Buehler and published by Springer. This book was released on 2009-09-02 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The DARPA Urban Challenge by : Martin Buehler
Download or read book The DARPA Urban Challenge written by Martin Buehler and published by Springer Science & Business Media. This book was released on 2009-11-11 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning: ECML 2006 by : Johannes Fürnkranz
Download or read book Machine Learning: ECML 2006 written by Johannes Fürnkranz and published by Springer Science & Business Media. This book was released on 2006-09-19 with total page 873 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Probabilistic Robotics by : Sebastian Thrun
Download or read book Probabilistic Robotics written by Sebastian Thrun and published by MIT Press. This book was released on 2005-08-19 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue by : Matthew Spenko
Download or read book The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue written by Matthew Spenko and published by Springer. This book was released on 2018-04-09 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The DARPA Model for Transformative Technologies: Perspectives on the U.S. Defense Advanced Research Projects Agency by : William Boone Bonvillian
Download or read book The DARPA Model for Transformative Technologies: Perspectives on the U.S. Defense Advanced Research Projects Agency written by William Boone Bonvillian and published by Open Book Publishers. This book was released on 2020-01-09 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Autonomous Vehicle Technology by : James M. Anderson
Download or read book Autonomous Vehicle Technology written by James M. Anderson and published by Rand Corporation. This book was released on 2014-01-10 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.
Book Synopsis Applied Deep Learning and Computer Vision for Self-Driving Cars by : Sumit Ranjan
Download or read book Applied Deep Learning and Computer Vision for Self-Driving Cars written by Sumit Ranjan and published by Packt Publishing Ltd. This book was released on 2020-08-14 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book FastSLAM written by Michael Montemerlo and published by Springer. This book was released on 2007-04-27 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking.
Book Synopsis Intelligent Unmanned Ground Vehicles by : Martial H. Hebert
Download or read book Intelligent Unmanned Ground Vehicles written by Martial H. Hebert and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Unmanned Ground Vehicles describes the technology developed and the results obtained by the Carnegie Mellon Robotics Institute in the course of the DARPA Unmanned Ground Vehicle (UGV) project. The goal of this work was to equip off-road vehicles with computer-controlled, unmanned driving capabilities. The book describes contributions in the area of mobility for UGVs including: tools for assembling complex autonomous mobility systems; on-road and off-road navigation; sensing techniques; and route planning algorithms. In addition to basic mobility technology, the book covers a number of integrated systems demonstrated in the field in realistic scenarios. The approaches presented in this book can be applied to a wide range of mobile robotics applications, from automated passenger cars to planetary exploration, and construction and agricultural machines. Intelligent Unmanned Ground Vehicles shows the progress that was achieved during this program, from brittle specially-built robots operating under highly constrained conditions, to groups of modified commercial vehicles operating in tough environments. One measure of progress is how much of this technology is being used in other applications. For example, much of the work in road-following, architectures and obstacle detection has been the basis for the Automated Highway Systems (AHS) prototypes currently under development. AHS will lead to commercial prototypes within a few years. The cross-country technology is also being used in the development of planetary rovers with a projected launch date within a few years. The architectural tools built under this program have been used in numerous applications, from an automated harvester to an autonomous excavator. The results reported in this work provide tools for further research development leading to practical, reliable and economical mobile robots.
Book Synopsis Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles by : Alexander Schaub
Download or read book Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles written by Alexander Schaub and published by Springer. This book was released on 2017-07-18 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Laser That's Changing the World by : Todd Neff
Download or read book The Laser That's Changing the World written by Todd Neff and published by . This book was released on 2018 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tells the story of a laser technology that will have a big impact on society and the brilliant innovators responsible for its developmentLidar--a technology evolved from radar, but using laser light rather than microwaves--has found an astounding range of applications, none more prominent than its crucial role in enabling self-driving cars. This accessible introduction to a fascinating and increasingly vital technology focuses on the engaging human stories of lidar's innovators as they advance and adapt it to better understand air, water, ice and Earth - not to mention mapping Mars and Mercury, spotting incoming nuclear warheads, and avoiding pedestrians and cyclists on city streets.Award-winning science writer Todd Neff invites readers behind the scenes to meet some of the great innovators who have explored and expanded the uses of this amazing technology: people like MIT scientist Louis Smullin, whose lidar bounced light off the moon soon after the laser's invention; Allan Carswell, who plumbed the shallows of Lake Erie en route to developing the aerial lidar now essential for coastal mapping and hurricane damage assessment; Red Whittaker, the field robotics pioneer who was putting lidar on his autonomous contraptions as early as the 1980s; and David Hall, whose laser sombrero on a Toyota Tundra gave birth to modern automotive lidar.These are just some of the stories Neff tells before looking ahead to a future that could bring lidar to unpiloted air taxis, to the contaminated pipes of the U.S. nuclear weapons complex, and to satellites capable of pinpointing greenhouse gas sources from orbit. As the author makes clear, the sky is no limit with lidar, which promises to make our world safer, healthier, and vastly more interesting.
Book Synopsis Implications of Modern Decision Science for Military Decision-support Systems by : Paul K. Davis
Download or read book Implications of Modern Decision Science for Military Decision-support Systems written by Paul K. Davis and published by Rand Corporation. This book was released on 2005 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: A selective review of modern decision science and implications for decision-support systems. The study suggests ways to synthesize lessons from research on heuristics and biases with those from "naturalistic research." It also discusses modern tools, such as increasingly realistic simulations, multiresolution modeling, and exploratory analysis, which can assist decisionmakers in choosing strategies that are flexible, adaptive, and robust.
Book Synopsis Sensing, Intelligence, Motion by : Vladimir J. Lumelsky
Download or read book Sensing, Intelligence, Motion written by Vladimir J. Lumelsky and published by John Wiley & Sons. This book was released on 2005-11-28 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leap forward in the field of robotics Until now, most of the advances in robotics have taken place instructured environments. Scientists and engineers have designedhighly sophisticated robots, but most are still only able tooperate and move in predetermined, planned environments designedspecifically for the robots and typically at very high cost. Thisnew book takes robotics to the next level by setting forth thetheory and techniques needed to achieve robotic motion inunstructured environments. The ability to move and operate in anarbitrary, unplanned environment will lead to automating a widerange of new robotic tasks, such as patient care, toxic sitecleanup, and planetary exploration. The approach that opens the door for robots to handle unstructuredtasks is known as Sensing-Intelligence-Motion (SIM), which drawsfrom research in topology, computational complexity, controltheory, and sensing hardware. Using SIM as an underlyingfoundation, the author's carefully structured presentation isdesigned to: * Formulate the challenges of sensor-based motion planning and thenbuild a theoretical foundation for sensor-based motion planningstrategies * Investigate promising algorithmic strategies for mobile robotsand robot arm manipulators, in both cases addressing motionplanning for the whole robot body * Compare robot performance to human performance in sensor-basedmotion planning to gain better insight into the challenges of SIMand help build synergistic human-robot teams for tele-operationtasks. It is both exciting and encouraging to discover that robotperformance decisively exceeds human performance in certain tasksrequiring spatial reasoning, even when compared to trainedoperators * Review sensing hardware that is necessary to realize the SIMparadigm Some 200 illustrations, graphic sketches, and photos are includedto clarify key issues, develop and validate motion planningapproaches, and demonstrate full systems in operation. As the first book fully devoted to robot motion planning inunstructured environments, Sensing, Intelligence, Motion is amust-read for engineers, scientists, and researchers involved inrobotics. It will help them migrate robots from highly specializedapplications in factories to widespread use in society whereautonomous robot motion is needed.
Book Synopsis Autonomous Road Vehicle Path Planning and Tracking Control by : Levent Guvenc
Download or read book Autonomous Road Vehicle Path Planning and Tracking Control written by Levent Guvenc and published by John Wiley & Sons. This book was released on 2021-12-06 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Driven written by Alex Davies and published by Simon and Schuster. This book was released on 2022-01-18 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in hardcover in 2021 by Simon & Schuster.
