Road Terrain Classification Technology For Autonomous Vehicle PDF Download
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| Author | : Shifeng Wang |
| Publisher | : Springer |
| Total Pages | : 97 |
| Release | : 2019-03-15 |
| Genre | : Technology & Engineering |
| ISBN | : 981136155X |
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.
| Author | : Taylor S. Hodgdon |
| Publisher | : |
| Total Pages | : 35 |
| Release | : 2021 |
| Genre | : Automated vehicles |
| ISBN | : |
Download Automated Terrain Classification for Vehicle Mobility in Off-road Conditions Book in PDF, ePub and Kindle
| Author | : Ümit Özgüner |
| Publisher | : Artech House |
| Total Pages | : 289 |
| Release | : 2011 |
| Genre | : Technology & Engineering |
| ISBN | : 1608071936 |
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.
| Author | : David Michael Stavens |
| Publisher | : Stanford University |
| Total Pages | : 104 |
| Release | : 2011 |
| Genre | : |
| ISBN | : |
Download Learning to Drive Book in PDF, ePub and Kindle
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.
| Author | : Shifeng Wang |
| Publisher | : |
| Total Pages | : 290 |
| Release | : 19?? |
| Genre | : All terrain vehicles |
| ISBN | : |
Download Multiple-sensor Based Approach for Road Terrain Classification Book in PDF, ePub and Kindle
| Author | : Martin Buehler |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 651 |
| Release | : 2009-11-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3642039901 |
Download The DARPA Urban Challenge Book in PDF, ePub and Kindle
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.
| Author | : Telex Magloire Ngatched Nkouatchah |
| Publisher | : Springer Nature |
| Total Pages | : 441 |
| Release | : 2023-02-20 |
| Genre | : Computers |
| ISBN | : 3031252713 |
Download Pan-African Artificial Intelligence and Smart Systems Book in PDF, ePub and Kindle
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.
| Author | : Wolfram Burgard |
| Publisher | : IOS Press |
| Total Pages | : 440 |
| Release | : 2008 |
| Genre | : Computers |
| ISBN | : 1586038877 |
Download Intelligent Autonomous Systems 10 Book in PDF, ePub and Kindle
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.
| Author | : Liang Lu |
| Publisher | : |
| Total Pages | : |
| Release | : 2008 |
| Genre | : |
| ISBN | : |
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 (
| Author | : Shaoshan Liu |
| Publisher | : Morgan & Claypool Publishers |
| Total Pages | : 198 |
| Release | : 2017-10-25 |
| Genre | : Computers |
| ISBN | : 1681730081 |
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.
