Download or read book Vision in Vehicles VII written by I.D. Brown and published by North Holland. This book was released on 1999-12-31 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Seventh International Conference series on Vision in Vehicles was held in Marseilles in September 1997. This event was run in conjunction with the Applied Vision Association, the Ergonomics Society and with the participation of INRETS (Institut National de Recherche sur les Transports et leur Sécurité). This volume presents the selected and edited proceedings. The papers at the conference were ordered into sessions, from driver-specific aspects to interfacing with the new in-vehicle systems. These sessions are mirrored in the ordering of the chapters. The conference is long established and regularly draws representatives from the key international research centres working in this popular and diverse transportation area.
Download or read book Computer Vision in Vehicle Technology written by Antonio M. López and published by John Wiley & Sons. This book was released on 2017-04-17 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified view of the use of computer vision technology for different types of vehicles Computer Vision in Vehicle Technology focuses on computer vision as on-board technology, bringing together fields of research where computer vision is progressively penetrating: the automotive sector, unmanned aerial and underwater vehicles. It also serves as a reference for researchers of current developments and challenges in areas of the application of computer vision, involving vehicles such as advanced driver assistance (pedestrian detection, lane departure warning, traffic sign recognition), autonomous driving and robot navigation (with visual simultaneous localization and mapping) or unmanned aerial vehicles (obstacle avoidance, landscape classification and mapping, fire risk assessment). The overall role of computer vision for the navigation of different vehicles, as well as technology to address on-board applications, is analysed. Key features: Presents the latest advances in the field of computer vision and vehicle technologies in a highly informative and understandable way, including the basic mathematics for each problem. Provides a comprehensive summary of the state of the art computer vision techniques in vehicles from the navigation and the addressable applications points of view. Offers a detailed description of the open challenges and business opportunities for the immediate future in the field of vision based vehicle technologies. This is essential reading for computer vision researchers, as well as engineers working in vehicle technologies, and students of computer vision.
Download or read book Vision in Vehicles VI written by A. Gale and published by North Holland. This book was released on 1998-12-17 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The original concept for the Vision in Vehicle series of international conferences was born from discussions within the Applied Vision Association which led eventually to the first conference being held in 1985. Ten years of progress later and this volume presents the selected and edited proceedings of the Sixth International Conference on Vision in Vehicles (VIV6) which was held at the University of Derby, 13-16 September 1995. The meeting was organised in association with the Applied Vision Association and the Ergonomics Society. The conference is unique in the eclectic mix of disciplines which are attracted to the meetings and this enables research inssues to be considered in very broad contexts.
Download or read book Vision in Vehicles II written by Alastair G. Gale and published by . This book was released on 1988 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer Vision for Autonomous Vehicles written by Joel Janai and published by . This book was released on 2020 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have witnessed enormous progress in AI-related fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the field as a beginner. While several survey papers on particular sub-problems have appeared, no comprehensive survey on problems, datasets, and methods in computer vision for autonomous vehicles has been published. This monograph attempts to narrow this gap by providing a survey on the state-of-the-art datasets and techniques. Our survey includes both the historically most relevant literature as well as the current state of the art on several specific topics, including recognition, reconstruction, motion estimation, tracking, scene understanding, and end-to-end learning for autonomous driving. Towards this goal, we analyze the performance of the state of the art on several challenging benchmarking datasets, including KITTI, MOT, and Cityscapes. Besides, we discuss open problems and current research challenges. To ease accessibility and accommodate missing references, we also provide a website that allows navigating topics as well as methods and provides additional information.
Download or read book Computer Vision for Driver Assistance written by Mahdi Rezaei and published by Springer. This book was released on 2017-02-06 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems. While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles. Computer Vision for Driver Assistance is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics in modern vehicle design.
Download or read book Vision in Vehicles V written by Alastair G. Gale and published by . This book was released on 1996 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Vision in Vehicles VI written by A. Gale and published by North Holland. This book was released on 1998-12-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The original concept for the Vision in Vehicle series of international conferences was born from discussions within the Applied Vision Association which led eventually to the first conference being held in 1985. Ten years of progress later and this volume presents the selected and edited proceedings of the Sixth International Conference on Vision in Vehicles (VIV6) which was held at the University of Derby, 13-16 September 1995. The meeting was organised in association with the Applied Vision Association and the Ergonomics Society. The conference is unique in the eclectic mix of disciplines which are attracted to the meetings and this enables research inssues to be considered in very broad contexts.
Download or read book Vision in Vehicles II written by A.G. Gale and published by North Holland. This book was released on 1988-06 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: An integrated approach to the problems of vision and vehicle control is presented in this volume. Current work on all aspects of vision and its relationship to vehicle design is reported on, including the internal and external design of vehicles, visual displays, and the perceptual and cognitive capabilities of the controller of the vehicle. Environmental influences, the effects of alcohol, and visual standards are among the topics discussed. All types of vehicles (including ships and combat aircraft) are considered, though the majority of papers deal with automobiles and their drivers.
Download or read book Hands On Vision and Behavior for Self Driving Cars written by Luca Venturi and published by Packt Publishing Ltd. This book was released on 2020-10-23 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to learning visual perception for self-driving cars for computer vision and autonomous system engineers Key FeaturesExplore the building blocks of the visual perception system in self-driving carsIdentify objects and lanes to define the boundary of driving surfaces using open-source tools like OpenCV and PythonImprove the object detection and classification capabilities of systems with the help of neural networksBook Description The visual perception capabilities of a self-driving car are powered by computer vision. The work relating to self-driving cars can be broadly classified into three components - robotics, computer vision, and machine learning. This book provides existing computer vision engineers and developers with the unique opportunity to be associated with this booming field. You will learn about computer vision, deep learning, and depth perception applied to driverless cars. The book provides a structured and thorough introduction, as making a real self-driving car is a huge cross-functional effort. As you progress, you will cover relevant cases with working code, before going on to understand how to use OpenCV, TensorFlow and Keras to analyze video streaming from car cameras. Later, you will learn how to interpret and make the most of lidars (light detection and ranging) to identify obstacles and localize your position. You’ll even be able to tackle core challenges in self-driving cars such as finding lanes, detecting pedestrian and crossing lights, performing semantic segmentation, and writing a PID controller. By the end of this book, you’ll be equipped with the skills you need to write code for a self-driving car running in a driverless car simulator, and be able to tackle various challenges faced by autonomous car engineers. What you will learnUnderstand how to perform camera calibrationBecome well-versed with how lane detection works in self-driving cars using OpenCVExplore behavioral cloning by self-driving in a video-game simulatorGet to grips with using lidarsDiscover how to configure the controls for autonomous vehiclesUse object detection and semantic segmentation to locate lanes, cars, and pedestriansWrite a PID controller to control a self-driving car running in a simulatorWho this book is for This book is for software engineers who are interested in learning about technologies that drive the autonomous car revolution. Although basic knowledge of computer vision and Python programming is required, prior knowledge of advanced deep learning and how to use sensors (lidar) is not needed.
Download or read book Vision in Vehicles written by Alastair G. Gale and published by . This book was released on 1986 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Vision in Vehicles V written by I.D. Brown and published by North Holland. This book was released on 1996-09-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on the proceedings of the Fifth International Conference on Vision in Vehicles. The aim of the conference series is to enable international researchers from different disciplines to meet and exchange ideas on the current state-of-the-art of all aspects related to vehicles and vehicle controllers. This is perceived as encompassing the internal and external design of a vehicle, the environment in which vehicles move, as well as the visual, perceptual and cognitive limitations of the vehicle controller. All types of vehicles (including underground mining vehicles, helicopters, trains and motorcycles) are considered, though the majority of papers deal with automobiles and their drivers. The conference keynote address Automated Highways: A Vision of the Future, which was presented by John Bloomfield, set the tone for the meeting. The proceedings, as contained in this volume, begin in a similar vein with chapters considering Simulation Studies of Driver Performance, followed by a section on Visual Processing and Collision Avoidance. Cognitive issues are addressed in several chapters detailing recent work on Cognitive Aspects of Visual Information Processing. The growing use of information technology is covered in two subsequent sections concerning firstly, the Visual Requirements of In-Vehicle Guidance Systems and secondly, Driver Support Systems. Environmental factors are discussed in a separate section, as is driver's own visual impairment. The final section concerns Arousal and Performance and discusses alcohol effects on driving ability. Vision in Vehicles V, with contributions by experts from a diverse range of disciplines, including optometrists, psychologists, physiologists, human factors specialists and engineers, will undoubtedly stimulate the progression of research in this area.
Download or read book Vision based Vehicle Guidance written by Ichiro Masaki and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a growing social interest in developing vision-based vehicle guidance systems for improving traffic safety and efficiency and the environment. Ex amples of vision-based vehicle guidance systems include collision warning systems, steering control systems for tracking painted lane marks, and speed control systems for preventing rear-end collisions. Like other guidance systems for aircraft and trains, these systems are ex pected to increase traffic safety significantly. For example, safety improve ments of aircraft landing processes after the introduction of automatic guidance systems have been reported to be 100 times better than prior to installment. Although the safety of human lives is beyond price, the cost for automatic guidance could be compensated by decreased insurance costs. It is becoming more important to increase traffic safety by decreasing the human driver's load in our society, especially with an increasing population of senior people who continue to drive. The second potential social benefit is the improvement of traffic efficiency by decreasing the spacing between vehicles without sacrificing safety. It is reported, for example, that four times the efficiency is expected if the spacing between cars is controlled automatically at 90 cm with a speed of 100 kmjh compared to today's typical manual driving. Although there are a lot of tech nical, psychological, and social issues to be solved before realizing the high density jhigh-speed traffic systems described here, highly efficient highways are becoming more important because of increasing traffic congestion.
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 Vision in Vehicles III written by I.D. Brown and published by North Holland. This book was released on 1991-03-25 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a new interdisciplinary work which presents the proceedings of the third international conference on Vision in Vehicles, the aim of which was to provide an international forum for the exchange of information on current work on all aspects of vision and its relationship to vehicle design. This includes both the internal and external design of the vehicle and its environmental displays, as well as the perceptual and cognitive capabilities of the vehicle controllers.
Download or read book Vision and Navigation written by Charles E. Thorpe and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile robots are playing an increasingly important role in our world. Remotely operated vehicles are in everyday use for hazardous tasks such as charting and cleaning up hazardous waste spills, construction work of tunnels and high rise buildings, and underwater inspection of oil drilling platforms in the ocean. A whole host of further applications, however, beckons robots capable of autonomous operation without or with very little intervention of human operators. Such robots of the future will explore distant planets, map the ocean floor, study the flow of pollutants and carbon dioxide through our atmosphere and oceans, work in underground mines, and perform other jobs we cannot even imagine; perhaps even drive our cars and walk our dogs. The biggest technical obstacles to building mobile robots are vision and navigation-enabling a robot to see the world around it, to plan and follow a safe path through its environment, and to execute its tasks. At the Carnegie Mellon Robotics Institute, we are studying those problems both in isolation and by building complete systems. Since 1980, we have developed a series of small indoor mobile robots, some experimental, and others for practical applicationr Our outdoor autonomous mobile robot research started in 1984, navigating through the campus sidewalk network using a small outdoor vehicle called the Terregator. In 1985, with the advent of DARPA's Autonomous Land Vehicle Project, we constructed a computer controlled van with onboard sensors and researchers. In the fall of 1987, we began the development of a six-legged Planetary Rover.
Download or read book Vision in Vehicles VI written by Alastair G. Gale and published by . This book was released on 1998 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt:
