Terrain Classification For Autonomous Ground Vehicles Using A 2d Laser Stripe Based Structured Light Sensor PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Terrain Classification For Autonomous Ground Vehicles Using A 2d Laser Stripe Based Structured Light Sensor PDF full book. Access full book title Terrain Classification For Autonomous Ground Vehicles Using A 2d Laser Stripe Based Structured Light Sensor.

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

Terrain Classification for Autonomous Ground Vehicles Using a 2D Laser Stripe-based Structured Light Sensor
Author: Liang Lu
Publisher:
Total Pages:
Release: 2008
Genre:
ISBN:
GET BOOK

Download Terrain Classification for Autonomous Ground Vehicles Using a 2D Laser Stripe-based Structured Light Sensor Book in PDF, ePub and Kindle

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 (

Road Terrain Classification Technology for Autonomous Vehicle

Road Terrain Classification Technology for Autonomous Vehicle
Author: Shifeng Wang
Publisher: Springer
Total Pages: 97
Release: 2019-03-15
Genre: Technology & Engineering
ISBN: 981136155X
GET BOOK

Download Road Terrain Classification Technology for Autonomous Vehicle Book in PDF, ePub and Kindle

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.

Roadside Video Data Analysis

Roadside Video Data Analysis
Author: Brijesh Verma
Publisher: Springer
Total Pages: 209
Release: 2017-04-28
Genre: Technology & Engineering
ISBN: 9811045399
GET BOOK

Download Roadside Video Data Analysis Book in PDF, ePub and Kindle

This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems. It describes system architectures and methodologies that are specifically built upon learning concepts for roadside video data processing, and offers a detailed analysis of the segmentation, feature extraction and classification processes. Lastly, it demonstrates the applications of roadside video data analysis including scene labelling, roadside vegetation classification and vegetation biomass estimation in fire risk assessment.

Recent Advances in Robotics and Automation

Recent Advances in Robotics and Automation
Author: Gourab Sen Gupta
Publisher: Springer
Total Pages: 342
Release: 2013-05-23
Genre: Technology & Engineering
ISBN: 3642373879
GET BOOK

Download Recent Advances in Robotics and Automation Book in PDF, ePub and Kindle

There isn’t a facet of human life that has not been touched and influenced by robots and automation. What makes robots and machines versatile is their computational intelligence. While modern intelligent sensors and powerful hardware capabilities have given a huge fillip to the growth of intelligent machines, the progress in the development of algorithms for smart interaction, collaboration and pro-activeness will result in the next quantum jump. This book deals with the recent advancements in design methodologies, algorithms and implementation techniques to incorporate intelligence in robots and automation systems. Several articles deal with navigation, localization and mapping of mobile robots, a problem that engineers and researchers are grappling with all the time. Fuzzy logic, neural networks and neuro-fuzzy based techniques for real world applications have been detailed in a few articles. This edited volume is targeted to present the latest state-of-the-art computational intelligence techniques in Robotics and Automation. It is a compilation of the extended versions of the very best papers selected from the many that were presented at the 5th International Conference on Automation, Robotics and Applications (ICARA 2011) which was held in Wellington, New Zealand from 6-8 December, 2011. Scientists and engineers who work with robots and automation systems will find this book very useful and stimulating.

Intelligent Robotics and Applications

Intelligent Robotics and Applications
Author: Xin-Jun Liu
Publisher: Springer Nature
Total Pages: 853
Release: 2021-10-17
Genre: Computers
ISBN: 3030890988
GET BOOK

Download Intelligent Robotics and Applications Book in PDF, ePub and Kindle

The 4-volume set LNAI 13013 – 13016 constitutes the proceedings of the 14th International Conference on Intelligent Robotics and Applications, ICIRA 2021, which took place in Yantai, China, during October 22-25, 2021. The 299 papers included in these proceedings were carefully reviewed and selected from 386 submissions. They were organized in topical sections as follows: Robotics dexterous manipulation; sensors, actuators, and controllers for soft and hybrid robots; cable-driven parallel robot; human-centered wearable robotics; hybrid system modeling and human-machine interface; robot manipulation skills learning; micro_nano materials, devices, and systems for biomedical applications; actuating, sensing, control, and instrumentation for ultra-precision engineering; human-robot collaboration; robotic machining; medical robot; machine intelligence for human motion analytics; human-robot interaction for service robots; novel mechanisms, robots and applications; space robot and on-orbit service; neural learning enhanced motion planning and control for human robot interaction; medical engineering.

Classification and Modeling of Forested Terrain Using Light Detection And Ranging Sensing

Classification and Modeling of Forested Terrain Using Light Detection And Ranging Sensing
Author: Matthew W. McDaniel
Publisher:
Total Pages: 112
Release: 2010
Genre:
ISBN:
GET BOOK

Download Classification and Modeling of Forested Terrain Using Light Detection And Ranging Sensing Book in PDF, ePub and Kindle

To operate autonomously, unmanned ground vehicles (UGVs) must be able to identify the load-bearing surface of the terrain (i.e. the ground) and obstacles. Current sensing techniques work well for structured environments such as urban areas, where the roads and obstacles are usually highly predictable and well-defined. However, autonomous navigation on forested terrain presents many new challenges due to the variability and lack of structure in natural environments. This thesis presents a novel, robust approach for modeling the ground plane and main tree stems in forests, using 3-D point clouds sensed with LIDAR. Identification of the ground plane is done using a two stage approach. The first stage, a local height-based filter, discards most of the nonground points. The second stage, based on a support vector machine (SVM) classifier, operates on a set of geometrically-defined features to identify which of the remaining points belong to the ground. Finally, a triangulated irregular network (TIN) is created from these points to model the ground plane. Next, main stems are estimated using the results from the estimated ground plane. Candidate main stem data is selected by finding points that lie approximately 130cm above the ground. These points are then clustered using a linkage-based clustering technique. Finally, the stems are modeled by fitting the LIDAR data to 3-D geometric primitives (e.g. cylinders, cones). Experimental results from five forested environments demonstrate the effectiveness of this approach. For ground plane estimation, the overall accuracy of classification was 86.28% and the mean error for the ground model was approximately 4.7 cm. For stem estimation, up to 50% of main stems could be accurately modeled using cones, with a root mean square diameter error of 13.2 cm.

Autonomous Ground Vehicles

Autonomous Ground Vehicles
Author: Ümit Özgüner
Publisher: Artech House
Total Pages: 289
Release: 2011
Genre: Technology & Engineering
ISBN: 1608071936
GET BOOK

Download Autonomous Ground Vehicles Book in PDF, ePub and Kindle

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.

Creating Autonomous Vehicle Systems

Creating Autonomous Vehicle Systems
Author: Shaoshan Liu
Publisher: Morgan & Claypool Publishers
Total Pages: 285
Release: 2017-10-25
Genre: Computers
ISBN: 1681731673
GET BOOK

Download Creating Autonomous Vehicle Systems Book in PDF, ePub and Kindle

This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.

Introduction to Autonomous Mobile Robots, second edition

Introduction to Autonomous Mobile Robots, second edition
Author: Roland Siegwart
Publisher: MIT Press
Total Pages: 473
Release: 2011-02-18
Genre: Computers
ISBN: 0262295091
GET BOOK

Download Introduction to Autonomous Mobile Robots, second edition Book in PDF, ePub and Kindle

The second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms. Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques. This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners. Curriculum developed by Dr. Robert King, Colorado School of Mines, and Dr. James Conrad, University of North Carolina-Charlotte, to accompany the National Instruments LabVIEW Robotics Starter Kit, are available. Included are 13 (6 by Dr. King and 7 by Dr. Conrad) laboratory exercises for using the LabVIEW Robotics Starter Kit to teach mobile robotics concepts.

Airborne and Terrestrial Laser Scanning

Airborne and Terrestrial Laser Scanning
Author: George Vosselman
Publisher: CRC Press
Total Pages: 0
Release: 2010
Genre: Geographic information systems
ISBN: 9781439827987
GET BOOK

Download Airborne and Terrestrial Laser Scanning Book in PDF, ePub and Kindle

Written by a team of international experts, this book provides a comprehensive overview of the major applications of airborne and terrestrial laser scanning. It focuses on principles and methods and presents an integrated treatment of airborne and terrestrial laser scanning technology. After consideration of the technology and processing methods, the book turns to applications, such as engineering, forestry, cultural heritage, extraction of 3D building models, and mobile mapping. This book brings together the various facets of the subject in a coherent text that will be relevant for advanced students, academics and practitioners.