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Advanced Driver Intention Inference

Advanced Driver Intention Inference
  • Author : Yang Xing,Chen Lv,Dongpu Cao
  • Publisher :Unknown
  • Release Date :2020-05
  • Total pages :350
  • ISBN : 0128191139
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Summary : Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely, the driver intention inference. The book contains the state-of-art knowledge on the construction of driver intention inference system, providing a better understanding on how the human driver intention mechanism will contribute to a more naturalistic on-board decision system for automated vehicles. Features examples of using machine learning/deep learning to build industry products Depicts future trends for driver behavior detection and driver intention inference Discuss traffic context perception techniques that predict driver intentions such as Lidar and GPS

Advanced Driver Intention Inference

Advanced Driver Intention Inference
  • Author : Yang Xing,Chen Lv,Dongpu Cao
  • Publisher :Unknown
  • Release Date :2020-03-15
  • Total pages :258
  • ISBN : 9780128191149
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Summary : Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely, the driver intention inference. The book contains the state-of-art knowledge on the construction of driver intention inference system, providing a better understanding on how the human driver intention mechanism will contribute to a more naturalistic on-board decision system for automated vehicles. Features examples of using machine learning/deep learning to build industry products Depicts future trends for driver behavior detection and driver intention inference Discuss traffic context perception techniques that predict driver intentions such as Lidar and GPS

Advanced Vehicle Control

Advanced Vehicle Control
  • Author : Johannes Edelmann,Manfred Plöchl,Peter E. Pfeffer
  • Publisher :Unknown
  • Release Date :2016-12-19
  • Total pages :726
  • ISBN : 9781351966719
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Summary : The AVEC symposium is a leading international conference in the fields of vehicle dynamics and advanced vehicle control, bringing together scientists and engineers from academia and automotive industry. The first symposium was held in 1992 in Yokohama, Japan. Since then, biennial AVEC symposia have been established internationally and have considerably contributed to the progress of technology in automotive research and development. In 2016 the 13th International Symposium on Advanced Vehicle Control (AVEC’16) was held in Munich, Germany, from 13th to 16th of September 2016. The symposium was hosted by the Munich University of Applied Sciences. AVEC’16 puts a special focus on automatic driving, autonomous driving functions and driver assist systems, integrated control of interacting control systems, controlled suspension systems, active wheel torque distribution, and vehicle state and parameter estimation. 132 papers were presented at the symposium and are published in these proceedings as full paper contributions. The papers review the latest research developments and practical applications in highly relevant areas of vehicle control, and may serve as a reference for researchers and engineers.

Learning and Inferring Human Intentions

Learning and Inferring Human Intentions
  • Author : Anup Doshi
  • Publisher :Unknown
  • Release Date :2010
  • Total pages :155
  • ISBN : 1124382593
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Summary : The focus of this research is on the challenges of using multi-sensory, multi-modal data focused on drivers and their environment, to infer the cognitive states and intentions of the driver. We propose several relevant research tasks including behavioral attention and priming analysis, cue selection, and data fusion and model development. Ultimately we arm an Intelligent Driver Assistance System with such information in order to improve decision making, safety, and comfort. Specifically, the objective of this research is to build a holistic driver intent inference system by (1) observing and understanding the most reliable visible behaviors, characteristics, and environmental cues that indicate driver intentions, and (2) analyzing the interactive nature and performance of real-time learning-based driver assistance systems. The thesis makes contributions to, and documents research interactivity between, the fields of electrical engineering, signal processing, cognitive science, human-computer interaction and psychology. The advantage of including human intent information in assistive feedback is found to be substantial, especially for reducing risk in safety-critical situations in driving and other task-oriented scenarios. The contributions of this research could be extended to applications in Advanced Driver Assistance Systems, Assistive Living, and Smart Meeting Rooms.

Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions

Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions
  • Author : Harald Waschl,Ilya Kolmanovsky,Frank Willems
  • Publisher :Unknown
  • Release Date :2018-06-28
  • Total pages :223
  • ISBN : 9783319915692
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Summary : This book describes different methods that are relevant to the development and testing of control algorithms for advanced driver assistance systems (ADAS) and automated driving functions (ADF). These control algorithms need to respond safely, reliably and optimally in varying operating conditions. Also, vehicles have to comply with safety and emission legislation. The text describes how such control algorithms can be developed, tested and verified for use in real-world driving situations. Owing to the complex interaction of vehicles with the environment and different traffic participants, an almost infinite number of possible scenarios and situations that need to be considered may exist. The book explains new methods to address this complexity, with reference to human interaction modelling, various theoretical approaches to the definition of real-world scenarios, and with practically-oriented examples and contributions, to ensure efficient development and testing of ADAS and ADF. Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions is a collection of articles by international experts in the field representing theoretical and application-based points of view. As such, the methods and examples demonstrated in the book will be a valuable source of information for academic and industrial researchers, as well as for automotive companies and suppliers.

Educating Everybody's Children

Educating Everybody's Children
  • Author : Robert W. Cole W. Cole
  • Publisher :Unknown
  • Release Date :2008-06-15
  • Total pages :295
  • ISBN : 9781416612490
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Summary : Designed to promote reflection, discussion, and action among the entire learning community, Educating Everybody's Children encapsulates what research has revealed about successfully addressing the needs of students from economically, ethnically, culturally, and linguistically diverse groups and identifies a wide range of effective principles and instructional strategies. Although good teaching works well with all students, educators must develop an extensive repertoire of instructional tools to meet the varying needs of students from diverse backgrounds. Those tools and the knowledge base behind them are the foundation of this expanded and revised second edition of Educating Everybody's Children. Each strategy discussed in the book includes classroom examples and a list of the research studies that support it. The most important thing we have learned as a result of the education reform movement is that student achievement stands or falls on the motivation and skills of teachers. We must ensure that all teachers are capable of delivering a standards‐based curriculum that describes what students should know and be able to do, and that these standards are delivered by means of a rich and engaging "pedagogy of plenty." By these two acts we can ensure that all schools will be ready and able to educate everybody's children.

Adaptive and Natural Computing Algorithms

Adaptive and Natural Computing Algorithms
  • Author : Marco Tomassini,Alberto Antonioni,Fabio Daolio,Pierre Buesser
  • Publisher :Unknown
  • Release Date :2013-04-12
  • Total pages :506
  • ISBN : 9783642372131
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Summary : The book constitutes the refereed proceedings of the 11th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2013, held in Lausanne, Switzerland, in April 2013. The 51 revised full papers presented were carefully reviewed and selected from a total of 91 submissions. The papers are organized in topical sections on neural networks, evolutionary computation, soft computing, bioinformatics and computational biology, advanced computing, and applications.

Large-Scale Inference

Large-Scale Inference
  • Author : Bradley Efron
  • Publisher :Unknown
  • Release Date :2012-11-29
  • Total pages :229
  • ISBN : 9781139492133
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Summary : We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical methods. Taking an empirical Bayes approach, Bradley Efron, inventor of the bootstrap, shows how information accrues across problems in a way that combines Bayesian and frequentist ideas. Estimation, testing and prediction blend in this framework, producing opportunities for new methodologies of increased power. New difficulties also arise, easily leading to flawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques. Emphasis is on the inferential ideas underlying technical developments, illustrated using a large number of real examples.

Proceedings of the International Symposium on Advanced Vehicle Control 1994

Proceedings of the International Symposium on Advanced Vehicle Control 1994
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :1994
  • Total pages :229
  • ISBN : PSU:000025955453
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Summary :

Probabilistic Graphical Models

Probabilistic Graphical Models
  • Author : Daphne Koller,Nir Friedman
  • Publisher :Unknown
  • Release Date :2009-07-31
  • Total pages :1270
  • ISBN : 9780262258357
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Summary : A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

The Prevention and Treatment of Missing Data in Clinical Trials

The Prevention and Treatment of Missing Data in Clinical Trials
  • Author : National Research Council,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Handling Missing Data in Clinical Trials
  • Publisher :Unknown
  • Release Date :2011-01-21
  • Total pages :162
  • ISBN : 9780309158145
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Summary : Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and control groups, balancing out, on average, distributions of known and unknown factors among the participants. Unfortunately, these studies often lack a substantial percentage of data. This missing data reduces the benefit provided by the randomization and introduces potential biases in the comparison of the treatment groups. Missing data can arise for a variety of reasons, including the inability or unwillingness of participants to meet appointments for evaluation. And in some studies, some or all of data collection ceases when participants discontinue study treatment. Existing guidelines for the design and conduct of clinical trials, and the analysis of the resulting data, provide only limited advice on how to handle missing data. Thus, approaches to the analysis of data with an appreciable amount of missing values tend to be ad hoc and variable. The Prevention and Treatment of Missing Data in Clinical Trials concludes that a more principled approach to design and analysis in the presence of missing data is both needed and possible. Such an approach needs to focus on two critical elements: (1) careful design and conduct to limit the amount and impact of missing data and (2) analysis that makes full use of information on all randomized participants and is based on careful attention to the assumptions about the nature of the missing data underlying estimates of treatment effects. In addition to the highest priority recommendations, the book offers more detailed recommendations on the conduct of clinical trials and techniques for analysis of trial data.

The Book of Why

The Book of Why
  • Author : Judea Pearl,Dana Mackenzie
  • Publisher :Unknown
  • Release Date :2018-05-15
  • Total pages :432
  • ISBN : 9780465097616
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Summary : A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.

Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems

Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems
  • Author : Otto, Carola
  • Publisher :Unknown
  • Release Date :2014-07-29
  • Total pages :258
  • ISBN : 9783731500735
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Summary :

Probabilistic Reasoning in Intelligent Systems

Probabilistic Reasoning in Intelligent Systems
  • Author : Judea Pearl
  • Publisher :Unknown
  • Release Date :2014-06-28
  • Total pages :552
  • ISBN : 9780080514895
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Summary : Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic. The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information. Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Getting the Picture

Getting the Picture
  • Author : Dave Nash
  • Publisher :Unknown
  • Release Date :2011-06-15
  • Total pages :112
  • ISBN : 0857003151
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Summary : Young people with communication difficulties often struggle in social situations, as without adequate inference, narrative and sequencing skills, correctly interpreting and responding to other people can be a real challenge. This fully photocopiable resource has been designed to improve these skills in the way this population can often learn best – visually. This book is brimming with thought-provoking illustrations of different people in different places, all of which are accompanied by a series of questions designed to encourage prediction and inference skills. Participants are asked to consider everything from who the person in the picture is, what they might be doing, and where they might be going, to how they may be feeling and why. Questions can either be completed individually or brainstormed as a group, and there are three types of illustration to work with – single person, picture sequence, or large scenes containing several interactions. The final section teaches important sequencing skills by providing muddled picture narratives that need to be ordered. This book will be a valuable tool for speech and language therapists/pathologists, occupational therapists, special educators, parents and anybody else looking to help young people with communication difficulties to understand and connect with the world around them.

How the Mind Explains Behavior

How the Mind Explains Behavior
  • Author : Bertram F. Malle
  • Publisher :Unknown
  • Release Date :2006-08-11
  • Total pages :324
  • ISBN : 0262250357
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Summary : In this provocative monograph, Bertram Malle describes behavior explanations as having a dual nature—as being both cognitive and social acts—and proposes a comprehensive theoretical model that integrates the two aspects. When people try to understand puzzling human behavior, they construct behavior explanations, which are a fundamental tool of social cognition. But, Malle argues, behavior explanations exist not only in the mind; they are also overt verbal actions used for social purposes. When people explain their own behavior or the behavior of others, they are using the explanation to manage a social interaction—by offering clarification, trying to save face, or casting blame. Malle's account makes clear why these two aspects of behavior explanation exist and why they are closely linked; along the way, he illustrates the astonishingly sophisticated and subtle patterns of folk behavior explanations. Malle begins by reviewing traditional attribution theories and their simplified portrayal of behavior explanation. A more realistic portrayal, he argues, must be grounded in the nature, function, and origins of the folk theory of mind—the conceptual framework underlying people's grasp of human behavior and its connection to the mind. Malle then presents a theory of behavior explanations, focusing first on their conceptual structure and then on their psychological construction. He applies this folk-conceptual theory to a number of questions, including the communicative functions of behavior explanations, and the differences in explanations given for self and others as well as for individuals and groups. Finally, he highlights the strengths of the folk-conceptual theory of explanation over traditional attribution theory and points to future research applications.

Automotive Buzz, Squeak and Rattle

Automotive Buzz, Squeak and Rattle
  • Author : Martin Trapp
  • Publisher :Unknown
  • Release Date :2012
  • Total pages :287
  • ISBN : 9780750684965
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Summary : Overview on Vehicle Buzz, Squeak and Rattle Friction/Sliding Analysis Stick-clip charateristics of leather /artificial leather Material pair testing and instrumentation Full Vehicle Testing Buzz, squeak and rattle shaker test Universal graining to prevent creaking noises with plastic and elastic contact partners Squeak and rattle CAE simulation using FEA Squeakand rattle prevention in the design phase using a pragmatic approach Wear of soft, pliable materials: Real stress scenarios and their simulation Development of squeak and rattle countermeasures through upfront designs Coatings for low-noise body seals.

Deep Learning with PyTorch

Deep Learning with PyTorch
  • Author : Eli Stevens,Luca Antiga,Thomas Viehmann
  • Publisher :Unknown
  • Release Date :2020-08-04
  • Total pages :520
  • ISBN : 9781617295263
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Summary : Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you—and your deep learning skills—become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. Summary Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you—and your deep learning skills—become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. Foreword by Soumith Chintala, Cocreator of PyTorch. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it’s a great skill to have as you expand your career options. It’s easy to get started with PyTorch. It minimizes cognitive overhead without sacrificing the access to advanced features, meaning you can focus on what matters the most - building and training the latest and greatest deep learning models and contribute to making a dent in the world. PyTorch is also a snap to scale and extend, and it partners well with other Python tooling. PyTorch has been adopted by hundreds of deep learning practitioners and several first-class players like FAIR, OpenAI, FastAI and Purdue. About the book Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at ways to improve your results by training with augmented data, make improvements to the model architecture, and perform other fine tuning. What's inside Training deep neural networks Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Exploring code samples in Jupyter Notebooks About the reader For Python programmers with an interest in machine learning. About the author Eli Stevens had roles from software engineer to CTO, and is currently working on machine learning in the self-driving-car industry. Luca Antiga is cofounder of an AI engineering company and an AI tech startup, as well as a former PyTorch contributor. Thomas Viehmann is a PyTorch core developer and machine learning trainer and consultant. consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production

Lord of the Flies

Lord of the Flies
  • Author : William Golding
  • Publisher :Unknown
  • Release Date :2012-03-15
  • Total pages :176
  • ISBN : 9780571267385
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Summary : William Golding's Lord of the Flies is a dystopian classic: 'exciting, relevant and thought-provoking' (Stephen King). When a group of schoolboys are stranded on a desert island, what could go wrong? 'One of my favorite books - I read it every couple of years.' (Suzanne Collins, author of The Hunger Games) A plane crashes on a desert island. The only survivors are a group of schoolboys. By day, they discover fantastic wildlife and dazzling beaches, learning to survive; at night, they are haunted by nightmares of a primitive beast. Orphaned by society, it isn't long before their innocent childhood games devolve into a savage, murderous hunt ... 'Stands out mightily in my memory ... Such a strong statement about the human heart.' (Patricia Cornwell) 'Terrifying and haunting.' (Kingsley Amis) 'Beautifully written, tragic and provocative.' (E. M. Forster) ONE OF THE BBC'S ICONIC 'NOVELS THAT SHAPED OUR WORLD' What readers are saying: 'Every real human being should read this ... This is what we are.' 'It's brilliant, it's captivating, it's thought provoking and brutal and for some, its truly terrifying.' 'It can be read and re-read many times, and every time something new will appear.' 'There is a reason why this is studied at school ... Excellent read.' 'This is one of the few books I've read that I keep on my Kindle to read again.' 'I revisit this every few years and it's always fresh and impressive ... One of the best books I've ever read.'

Preventing Tobacco Use Among Youth and Young Adults

Preventing Tobacco Use Among Youth and Young Adults
  • Author : United States. Public Health Service. Office of the Surgeon General
  • Publisher :Unknown
  • Release Date :2012
  • Total pages :899
  • ISBN : UCBK:C095488540
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Summary : This Surgeon General's report details the causes and the consequences of tobacco use among youth and young adults by focusing on the social, environmental, advertising, and marketing influences that encourage youth and young adults to initiate and sustain tobacco use. This is the first time tobacco data on young adults as a discrete population have been explored in detail. The report also highlights successful strategies to prevent young people from using tobacco.

Handbook of Driver Assistance Systems

Handbook of Driver Assistance Systems
  • Author : Hermann Winner,Stephan Hakuli,Felix Lotz,Christina Singer
  • Publisher :Unknown
  • Release Date :2015-10-15
  • Total pages :700
  • ISBN : 3319123513
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Summary : This fundamental work explains in detail systems for active safety and driver assistance, considering both their structure and their function. These include the well-known standard systems such as Anti-lock braking system (ABS), Electronic Stability Control (ESC) or Adaptive Cruise Control (ACC). But it includes also new systems for protecting collisions protection, for changing the lane, or for convenient parking. The book aims at giving a complete picture focusing on the entire system. First, it describes the components which are necessary for assistance systems, such as sensors, actuators, mechatronic subsystems, and control elements. Then, it explains key features for the user-friendly design of human-machine interfaces between driver and assistance system. Finally, important characteristic features of driver assistance systems for particular vehicles are presented: Systems for commercial vehicles and motorcycles.