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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

Publisher: Springer

ISBN: 9783319915692

Category: Technology & Engineering

Page: 223

View: 704

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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.

ADAS and Automated Driving

ADAS and Automated Driving

Author: Plato Pathrose

Publisher: SAE International

ISBN: 9781468604139

Category: Transportation

Page: 279

View: 277

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The day will soon come when you will be able to verbally communicate with a vehicle and instruct it to drive to a location. The car will navigate through street traffic and take you to your destination without additional instruction or effort on your part. Today, this scenario is still in the future, but the automotive industry is racing to toward the finish line to have automated driving vehicles deployed on our roads. ADAS and Automated Driving: A Practical Approach to Verification and Validation focuses on how automated driving systems (ADS) can be developed from concept to a product on the market for widescale public use. It covers practically viable approaches, methods, and techniques with examples from multiple production programs across different organizations. The author provides an overview of the various Advanced Driver Assistance Systems (ADAS) and ADS currently being developed and installed in vehicles. The technology needed for large-scale production and public use of fully autonomous vehicles is still under development, and the creation of such technology is a highly innovative area of the automotive industry. This text is a comprehensive reference for anyone interested in a career focused on the verification and validation of ADAS and ADS. The examples included in the volume provide the reader foundational knowledge and follow best and proven practices from the industry. Using the information in ADAS and Automated Driving, you can kick start your career in the field of ADAS and ADS.

From AI to Autonomous and Connected Vehicles

From AI to Autonomous and Connected Vehicles

Author: Abdelaziz Bensrhair

Publisher: John Wiley & Sons

ISBN: 9781119855484

Category: Computers

Page: 288

View: 505

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The main topic of this book is the recent development of on-board advanced driver-assistance systems (ADAS), which we can already tell will eventually contribute to the autonomous and connected vehicles of tomorrow. With the development of automated mobility, it becomes necessary to design a series of modules which, from the data produced by on-board or remote information sources, will enable the construction of a completely automated driving system. These modules are perception, decision and action. State-of-the-art AI techniques and their potential applications in the field of autonomous vehicles are described. Perception systems, focusing on visual sensors, the decision module and the prototyping, testing and evaluation of ADAS systems are all presented for effective implementation on autonomous and connected vehicles. This book also addresses cooperative systems, such as pedestrian detection, as well as the legal issues in the use of autonomous vehicles in open environments.

Automated Driving and Driver Assistance Systems

Automated Driving and Driver Assistance Systems

Author: Tom Denton

Publisher: Routledge

ISBN: 0367265591

Category:

Page: 146

View: 650

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Automated vehicles are set to transform the world. Automated driving vehicles are here already and undergoing serious testing in several countries around the world. This book explains the technologies in language that is easy to understand and accessible to all readers. It covers the subject from several angles but in particular shows the links to existing ADAS technologies already in use in all modern vehicles. There is a lot of hype in the media at the moment about autonomous or driverless cars, and while some manufacturers expect to have vehicles available from 2020, they will not soon take over and it will be some time before they are commonplace. However, it is very important to be ready for the huge change of direction that automated driving will take. This is the first book of its type available and complements Tom Denton's other books.

Unsettled Issues on HD Mapping Technology for Autonomous Driving and ADAS.

Unsettled Issues on HD Mapping Technology for Autonomous Driving and ADAS.

Author: Felix Leach

Publisher:

ISBN: 1468604406

Category: Automated vehicles

Page:

View: 546

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Current advanced driver-assistance systems (ADAS) and automated driving systems (ADS) rely on high-definition (HD) maps to enable a range of features and functions. These maps can be viewed as an additional sensor from an ADAS or ADS perspective as they impact overall system confidence, reduce system computational resource needs, help improve comfort and convenience, and ultimately contribute to system safety. However, HD mapping technology presents multiple challenges to the automotive industry. Unsettled Issues on HD Mapping Technology for Autonomous Driving and ADAS identifies the current unsettled issues that need to be addressed to reach the full potential of HD maps for ADAS and ADS technology and suggests some possible solutions for initial map creation, map change detection and updates, and map safety levels.

Fail-operational Safety Architecture for ADAS/AD Systems and a Model-driven Approach for Dependent Failure Analysis

Fail-operational Safety Architecture for ADAS/AD Systems and a Model-driven Approach for Dependent Failure Analysis

Author: Bülent Sari

Publisher: Springer Nature

ISBN: 9783658294229

Category: Technology & Engineering

Page: 147

View: 475

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Bülent Sari deals with the various fail-operational safety architecture methods developed with consideration of domain ECUs containing multicore processors and describes the model-driven approaches for the development of the safety lifecycle and the automated DFA. The methods presented in this study provide fail-operational system architecture and safety architecture for both conventional domains such as powertrains and for ADAS/AD systems in relation to the processing chain from sensors to actuators. ​About the Author: Bülent Sari works as a functional safety expert for autonomous driving projects. His doctoral thesis was supervised at the Institute of Internal Combustion Engines and Automotive Engineering, University of Stuttgart, Germany. He is a technical lead for not only functional safety in vehicles, but also for SOTIF, embracing the ISO 26262 standard as well as ISO PAS 21448. In this role, he coordinates and organizes the safety case execution of several product groups within different divisions of ZF.

Decision-making Techniques for Autonomous Vehicles

Decision-making Techniques for Autonomous Vehicles

Author: Jorge Villagra

Publisher: Elsevier

ISBN: 0323983391

Category: Technology & Engineering

Page: 0

View: 316

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Decision-making Techniques for Autonomous Vehicles provides a general overview of control and decision-making tools that could be used in autonomous vehicles. Motion prediction and planning tools are presented, along with the use of machine learning and adaptability to improve performance of algorithms in real scenarios. The book then examines how driver monitoring and behavior analysis are used produce comprehensive and predictable reactions in automated vehicles. The book ultimately covers regulatory and ethical issues to consider for implementing correct and robust decision-making. This book is for researchers as well as Masters and PhD students working with autonomous vehicles and decision algorithms.

Multi-Agent Safety

Multi-Agent Safety

Author: Juan Pimentel

Publisher: SAE International

ISBN: 9780768002195

Category: Technology & Engineering

Page: 208

View: 889

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Safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles since safety has driven some of the most complex requirements in the development of self-driving vehicles. Recent fatal accidents involving self-driving vehicles have uncovered issues in the way some automated vehicle companies approach the design, testing, verification, and validation of their products. Traditionally, automotive safety follows functional safety concepts as detailed in the standard ISO 26262. However, automated driving safety goes beyond this standard and includes other safety concepts such as safety of the intended functionality (SOTIF) and multi-agent safety. Multi-Agent Safety addresses the concept of safety for self-driving vehicles through the inclusion of 10 recent and highly relevent SAE technical papers. Topics that these papers feature include vehicle interaction with other vehicles, pedestrians, bicyclists, and other road objects. As the second title in a series on automated vehicle safety, each will contain introductory content by the Editor with 10 SAE technical papers specifically chosen to illuminate the specific safety topic of that book.

Criticality Assessment of Simulation Based AV/ADAS Test Scenarios

Criticality Assessment of Simulation Based AV/ADAS Test Scenarios

Author: Bo Shian Chen

Publisher:

ISBN: OCLC:1351999778

Category: Automated vehicles

Page: 0

View: 975

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With a fast-paced growth of Automated Driving Systems (ADV) and Advanced Driver Assistance Systems (ADAS), simulation-based validation and verification (V&V) has become an essential way to validate the reliability of the safety algorithms and components before performing the field tests. Virtual driving scenarios typically consist of trajectories of surrounding agents, road geometry, environmental effects, lighting conditions, etc. It is necessary to identify the specific region in the scenario parameter space, that makes the scenario 'critical' such that the ADS features could play an essential role to help the driver avoid accidents. The criticality of the scenario could depend on multiple parameters, such as ego vehicle speed, vehicle dynamics, and other actor’s trajectories. However, the definition of criticality should be independent of the ADS controller or driver models. In this thesis, we propose a novel approach to compute criticality using concepts from optimal control which does not require driver models or any specific controller. The key concept is that the value function obtained from the optimal control solution is an indicator of relative ease in the maneuver and the probability of a safe result. The uniqueness of this concept is that the value function is an outcome of optimal ADS control, and it incorporates crash probability and difficulty of maneuver. Moreover, this approach incorporates modeling uncertainty and stochasticity in perception and localization. In this thesis we demonstrate the approach using three optimal control algorithms namely, dynamic programming (DP), Markov Decision Process iii (MDP), and Reinforcement Learning (RL). This approach has three key phases- 1) develop logical scenarios under several highway situations based on the real crash data, 2) develop an optimal control-based strategy to generate safety-critical simulation scenarios for autonomous vehicle obstacle avoidance maneuvers, and 3) extend the approach further to incorporate modeling uncertainties and calculate the crash probability or the value function. To better demonstrate the proposed approach, an obstacle avoidance driving scenario has been used as an example in this thesis.

Automated Driving

Automated Driving

Author: Daniel Watzenig

Publisher: Springer

ISBN: 9783319318950

Category: Technology & Engineering

Page: 620

View: 218

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The main topics of this book include advanced control, cognitive data processing, high performance computing, functional safety, and comprehensive validation. These topics are seen as technological bricks to drive forward automated driving. The current state of the art of automated vehicle research, development and innovation is given. The book also addresses industry-driven roadmaps for major new technology advances as well as collaborative European initiatives supporting the evolvement of automated driving. Various examples highlight the state of development of automated driving as well as the way forward. The book will be of interest to academics and researchers within engineering, graduate students, automotive engineers at OEMs and suppliers, ICT and software engineers, managers, and other decision-makers.

HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design

HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design

Author: Heidi Krömker

Publisher: Springer Nature

ISBN: 9783030505233

Category: Computers

Page: 455

View: 217

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This two-volume set LNCS 12212 and 12213 constitutes the refereed proceedings of the Second International Conference on HCI in Mobility, Transport, and Automotive Systems, MobiTAS 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in Copenhagen, Denmark, in July, 2020.* A total of 1439 full papers and 238 posters have been carefully reviewed and accepted for publication in HCII 2020. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. MobiTAS 2020 includes a total of 59 papers and they are organized in the following topical sections: Part I, Automated Driving and In-Vehicle Experience Design: UX topics in automated driving, and designing in-vehicle experiences. Part II, Driving Behavior, Urban and Smart Mobility: studies on driving behavior, and urban and smart mobility. *The conference was held virtually due to the COVID-19 pandemic.

Unsettled Technology Areas in Autonomous Vehicle Test and Validation

Unsettled Technology Areas in Autonomous Vehicle Test and Validation

Author: Rahul Razdan

Publisher: Sae Edge Research Report

ISBN: 1468600982

Category: Computers

Page: 32

View: 523

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Automated driving system (ADS) technology and ADS-enabled/operated vehicles - commonly referred to as automated vehicles and autonomous vehicles (AVs) - have the potential to impact the world as significantly as the internal combustion engine. Successful ADS technologies could fundamentally transform the automotive industry, civil planning, the energy sector, and more. Rapid progress is being made in artificial intelligence (AI), which sits at the core of and forms the basis of ADS platforms. Consequently, autonomous capabilities such as those afforded by advanced driver assistance systems (ADAS) and other automation solutions are increasingly becoming available in the marketplace. To achieve highly or fully automated or autonomous capabilities, a major leap forward in the validation of these ADS technologies is required. Without this critical cog, helping to ensure the safety and reliability of these systems and platforms, the full capabilities of ADS technology will not be realized. This paper explores the ADS validation challenge by reviewing existing approaches and examining the effectiveness of those approaches, presenting critical techniques required to bring safe and effective solutions to market, discussing unsettled topics, and suggesting next steps for industry stakeholders to consider as they work to advance the ADS ecosystem. NOTE: SAE EDGE(TM) Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE(TM) Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. SAE EDGE(TM) Research Reports are not intended to resolve the issues they identify or close any topic to further scrutiny.