Road Terrain Classification Technology For Autonomous Vehicle

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Road Terrain Classification Technology for Autonomous Vehicle

Author : Shifeng Wang
Publisher : Springer
Page : 97 pages
File Size : 42,5 Mb
Release : 2019-03-15
Category : Technology & Engineering
ISBN : 9789811361555

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Road Terrain Classification Technology for Autonomous Vehicle by Shifeng Wang Pdf

This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors’ classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible.

Learning to Drive

Author : David Michael Stavens
Publisher : Stanford University
Page : 104 pages
File Size : 42,8 Mb
Release : 2011
Category : Electronic
ISBN : STANFORD:pb661px9942

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Learning to Drive by David Michael Stavens Pdf

Every year, 1.2 million people die in automobile accidents and up to 50 million are injured. Many of these deaths are due to driver error and other preventable causes. Autonomous or highly aware cars have the potential to positively impact tens of millions of people. Building an autonomous car is not easy. Although the absolute number of traffic fatalities is tragically large, the failure rate of human driving is actually very small. A human driver makes a fatal mistake once in about 88 million miles. As a co-founding member of the Stanford Racing Team, we have built several relevant prototypes of autonomous cars. These include Stanley, the winner of the 2005 DARPA Grand Challenge and Junior, the car that took second place in the 2007 Urban Challenge. These prototypes demonstrate that autonomous vehicles can be successful in challenging environments. Nevertheless, reliable, cost-effective perception under uncertainty is a major challenge to the deployment of robotic cars in practice. This dissertation presents selected perception technologies for autonomous driving in the context of Stanford's autonomous cars. We consider speed selection in response to terrain conditions, smooth road finding, improved visual feature optimization, and cost effective car detection. Our work does not rely on manual engineering or even supervised machine learning. Rather, the car learns on its own, training itself without human teaching or labeling. We show this "self-supervised" learning often meets or exceeds traditional methods. Furthermore, we feel self-supervised learning is the only approach with the potential to provide the very low failure rates necessary to improve on human driving performance.

Autonomous Ground Vehicles

Author : Ümit Özgüner,Tankut Acarman,Keith Alan Redmill
Publisher : Artech House
Page : 289 pages
File Size : 54,8 Mb
Release : 2011
Category : Technology & Engineering
ISBN : 9781608071937

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Autonomous Ground Vehicles by Ümit Özgüner,Tankut Acarman,Keith Alan Redmill Pdf

In the near future, we will witness vehicles with the ability to provide drivers with several advanced safety and performance assistance features. Autonomous technology in ground vehicles will afford us capabilities like intersection collision warning, lane change warning, backup parking, parallel parking aids, and bus precision parking. Providing you with a practical understanding of this technology area, this innovative resource focuses on basic autonomous control and feedback for stopping and steering ground vehicles.Covering sensors, estimation, and sensor fusion to percept the vehicle motion and surrounding objects, this unique book explains the key aspects that makes autonomous vehicle behavior possible. Moreover, you find detailed examples of fusion and Kalman filtering. From maps, path planning, and obstacle avoidance scenarios...to cooperative mobility among autonomous vehicles, vehicle-to-vehicle communication, and vehicle-to-infrastructure communication, this forward-looking book presents the most critical topics in the field today.

The DARPA Urban Challenge

Author : Martin Buehler,Karl Iagnemma,Sanjiv Singh
Publisher : Springer Science & Business Media
Page : 651 pages
File Size : 40,6 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.

Terrain Classification for Autonomous Ground Vehicles Using a 2D Laser Stripe-based Structured Light Sensor

Author : Liang Lu
Publisher : Unknown
Page : 128 pages
File Size : 47,9 Mb
Release : 2008
Category : Electronic
ISBN : OCLC:310361176

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Terrain Classification for Autonomous Ground Vehicles Using a 2D Laser Stripe-based Structured Light Sensor by Liang Lu Pdf

ABSTRACT: To increase autonomous ground vehicle (AGV) safety and efficiency on outdoor terrains the control system should have settings for individual terrains. A first step in such a terrain-dependent control system is classification of the terrain upon which the AGV is traversing. This paper considers vision-based terrain classification for the path directly in front of the vehicle (

Pan-African Artificial Intelligence and Smart Systems

Author : Telex Magloire Ngatched Nkouatchah,Isaac Woungang,Jules-Raymond Tapamo,Serestina Viriri
Publisher : Springer Nature
Page : 441 pages
File Size : 53,8 Mb
Release : 2023-02-20
Category : Computers
ISBN : 9783031252716

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Pan-African Artificial Intelligence and Smart Systems by Telex Magloire Ngatched Nkouatchah,Isaac Woungang,Jules-Raymond Tapamo,Serestina Viriri Pdf

This book constitutes the refereed post-conference proceedings of the Second International Conference on Pan-African Intelligence and Smart Systems, PAAISS 2022, which was held in Dakar, Senegal, in November 2022. The 27 revised full papers presented were carefully selected from 70 submissions. The theme of PAAISS 2022 was: ​IoT and Enabling Smart System Technologies, Special Topics of African Interest, Artificial Intelligence Theory and Methods, Artificial Intelligence Applications in Medicine, Remote sensing and AI in Agriculture, AI applications and Smart Systems technologies, Affective Computing, Intelligent Transportation systems.

Artificial Intelligence for Autonomous Vehicles

Author : Sathiyaraj Rajendran,Munish Sabharwal,Yu-Chen Hu,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : John Wiley & Sons
Page : 208 pages
File Size : 41,5 Mb
Release : 2024-02-27
Category : Computers
ISBN : 9781119847632

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Artificial Intelligence for Autonomous Vehicles by Sathiyaraj Rajendran,Munish Sabharwal,Yu-Chen Hu,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles. There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations are exclusively focused on non-traditional programming approaches and depend on machine learning techniques, which are part of AI. There are multiple issues that AI needs to resolve for us to achieve a reliable and safe driverless technology. The purpose of this book is to find effective solutions to make autonomous vehicles a reality, presenting their challenges and endeavors. The major contribution of this book is to provide a bundle of AI solutions for driverless technology that can offer a safe, clean, and more convenient riskless mode of transportation.

Intelligent Autonomous Systems 10

Author : Wolfram Burgard
Publisher : IOS Press
Page : 440 pages
File Size : 50,9 Mb
Release : 2008
Category : Computers
ISBN : 9781586038878

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Intelligent Autonomous Systems 10 by Wolfram Burgard Pdf

The International Conference on Intelligent Autonomous Systems (IAS) conference brings together leading researchers interested in all aspects of autonomy and adaptivity of artificial systems. This book contains the proceedings of the tenth IAS in Baden Baden, Germany.

Autonomous Road Vehicle Path Planning and Tracking Control

Author : Levent Guvenc,Bilin Aksun-Guvenc,Sheng Zhu,Sukru Yaren Gelbal
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 51,9 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.

Technology Development for Army Unmanned Ground Vehicles

Author : National Research Council,Division on Engineering and Physical Sciences,Board on Army Science and Technology,Committee on Army Unmanned Ground Vehicle Technology
Publisher : National Academies Press
Page : 180 pages
File Size : 45,7 Mb
Release : 2003-02-01
Category : Technology & Engineering
ISBN : 9780309086202

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Technology Development for Army Unmanned Ground Vehicles by National Research Council,Division on Engineering and Physical Sciences,Board on Army Science and Technology,Committee on Army Unmanned Ground Vehicle Technology Pdf

Unmanned ground vehicles (UGV) are expected to play a key role in the Army's Objective Force structure. These UGVs would be used for weapons platforms, logistics carriers, and reconnaissance, surveillance, and target acquisition among other things. To examine aspects of the Army's UGV program, assess technology readiness, and identify key issues in implementing UGV systems, among other questions, the Deputy Assistant Secretary of the Army for Research and Technology asked the National Research Council (NRC) to conduct a study of UGV technologies. This report discusses UGV operational requirements, current development efforts, and technology integration and roadmaps to the future. Key recommendations are presented addressing technical content, time lines, and milestones for the UGV efforts.

Field and Service Robotics

Author : Alonzo Kelly,Karl Iagnemma,Andrew Howard
Publisher : Springer
Page : 514 pages
File Size : 49,7 Mb
Release : 2010-07-15
Category : Technology & Engineering
ISBN : 9783642134081

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Field and Service Robotics by Alonzo Kelly,Karl Iagnemma,Andrew Howard Pdf

Robotics is undergoing a major transformation in scope and dimension. From a largely dominant industrial focus, robotics is rapidly expanding into human en- ronments and vigorously engaged in its new challenges. Interacting with, assi- ing, serving, and exploring with humans, the emerging robots will increasingly touch people and their lives. Beyond its impact on physical robots, the body of knowledge robotics has p- duced is revealing a much wider range of applications reaching across diverse research areas and scientific disciplines, such as: biomechanics, haptics, neuros- ences, 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 int- section of disciplines that the most striking advances happen. The Springer Tracts in Advanced Robotics (STAR) is devoted to bringing to the research community the latest advances in the robotics field on the basis of their significance and quality. Through a wide and timely dissemination of critical - search developments in robotics, our objective with this series is to promote more exchanges and collaborations among the researchers in the community and c- tribute to further advancements in this rapidly growing field.

Autonomous Vehicles

Author : Steven Van Uytsel,Danilo Vasconcellos Vargas
Publisher : Springer Nature
Page : 229 pages
File Size : 41,9 Mb
Release : 2020-12-21
Category : Law
ISBN : 9789811592553

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Autonomous Vehicles by Steven Van Uytsel,Danilo Vasconcellos Vargas Pdf

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.

Unmanned Ground Vehicle Technology

Author : Anonim
Publisher : Unknown
Page : 810 pages
File Size : 50,8 Mb
Release : 2005
Category : Robots
ISBN : UOM:39015058302251

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Unmanned Ground Vehicle Technology by Anonim Pdf

Autonomous Vehicles and Systems

Author : Ishwar K. Sethi
Publisher : CRC Press
Page : 464 pages
File Size : 46,6 Mb
Release : 2024-02-06
Category : Technology & Engineering
ISBN : 9781003810674

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Autonomous Vehicles and Systems by Ishwar K. Sethi Pdf

This book captures multidisciplinary research encompassing various facets of autonomous vehicle systems (AVS) research and developments. The AVS field is rapidly moving towards realization with numerous advances continually reported. The contributions to this field come from widely varying branches of knowledge, making it a truly multidisciplinary area of research and development. The topics covered in the book include: AI and deep learning for AVS Autonomous steering through deep neural networks Adversarial attacks and defenses on autonomous vehicles Gesture recognition for vehicle control Multi-sensor fusion in autonomous vehicles Teleoperation technologies for AVS Simulation and game theoretic decision making for AVS Path following control system design for AVS Hybrid cloud and edge solutions for AVS Ethics of AVS

Autonomous Vehicles for Safer Driving

Author : Ronald K Jurgen
Publisher : SAE International
Page : 142 pages
File Size : 40,6 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.