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Controlled Autonomous Vehicle Drift Maneuvering
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Book Synopsis Controlled Autonomous Vehicle Drift Maneuvering by : Mohamed Lamine Kaba
Download or read book Controlled Autonomous Vehicle Drift Maneuvering written by Mohamed Lamine Kaba and published by . This book was released on 2019 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drifting is an extreme maneuver which brings a vehicle into a relatively unstable and often hard to control configuration. Yet, it is an often necessary maneuver completed by professional race car drivers; or to a limited extent, regular drivers aiming to regain control of their vehicle during bad road/weather conditions (e.g. vehicle skidding during snow). The study of autonomous vehicles during drifting can give insights into how to improve standard safety systems for both modern automobiles, as well as future autonomous vehicles, which must self-maneuver through such "obstacles".
Book Synopsis Planning and Control of Drift Maneuvers with the Berkeley Autonomous Race Car by : Jon Matthew Gonzales
Download or read book Planning and Control of Drift Maneuvers with the Berkeley Autonomous Race Car written by Jon Matthew Gonzales and published by . This book was released on 2018 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: In competitive sporting events, drivers operate vehicles at the limits of handling, with near full rear tire saturation. Expert drivers intentionally drift their vehicles around corners to turn the vehicle quickly. These drivers operate their vehicles in a way that is contrary to the way safety system in automotive electronic control units are designed. By investigating and understanding the physics and operating principles of these maneuvers, it may be possible to enhance safety features in automotive control systems for collision avoidance, as well as enable sports cars to autonomously perform drift within the context of racing. The main focus of this dissertation is on planning and control of drift maneuvers, in particular, steady state drift, drift parking, and drift cornering. Secondly, with the growth of research and engineering in the domain of autonomous vehicles, the dissertation also focuses on the design and development of a robotic platform called the Berkeley Autonomous Race Car (BARC). The platform is based on a 1/10-scale remote control vehicle equipped with computing hardware and a suite of sensors that make it suitable for research and instruction. The project aims to provide a low-cost, open-source testbed option for researchers and instructors interested in autonomous vehicles. The methods and algorithms provided in the first part of the dissertation are experimentally validated on the BARC platform.
Book Synopsis Autonomous Vehicle Maneuvering at the Limit of Friction by : Victor Fors
Download or read book Autonomous Vehicle Maneuvering at the Limit of Friction written by Victor Fors and published by Linköping University Electronic Press. This book was released on 2020-10-23 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Without a driver to fall back on, a fully self-driving car needs to be able to handle any situation it can encounter. With the perspective of future safety systems, this research studies autonomous maneuvering at the tire-road friction limit. In these situations, the dynamics is highly nonlinear, and the tire-road parameters are uncertain. To gain insights into the optimal behavior of autonomous safety-critical maneuvers, they are analyzed using optimal control. Since analytical solutions of the studied optimal control problems are intractable, they are solved numerically. An optimization formulation reveals how the optimal behavior is influenced by the total amount of braking. By studying how the optimal trajectory relates to the attainable forces throughout a maneuver, it is found that maximizing the force in a certain direction is important. This is like the analytical solutions obtained for friction-limited particle models in earlier research, and it is shown to result in vehicle behavior close to the optimal also for a more complex model. Based on the insights gained from the optimal behavior, controllers for autonomous safety maneuvers are developed. These controllers are based on using acceleration-vector references obtained from friction-limited particle models. Exploiting that the individual tire forces tend to be close to their friction limits, the desired tire slip angles are determined for a given acceleration-vector reference. This results in controllers capable of operating at the limit of friction at a low computational cost and reduces the number of vehicle parameters used. For straight-line braking, ABS can intervene to reduce the braking distance without prior information about the road friction. Inspired by this, a controller that uses the available actuation according to the least friction necessary to avoid a collision is developed, resulting in autonomous collision avoidance without any estimation of the tire–road friction. Investigating time-optimal lane changes, it is found that a simple friction-limited particle model is insufficient to determine the desired acceleration vector, but including a jerk limit to account for the yaw dynamics is sufficient. To enable a tradeoff between braking and avoidance with a more general obstacle representation, the acceleration-vector reference is computed in a receding-horizon framework. The controllers developed in this thesis show great promise with low computational cost and performance not far from that obtained offline by using numerical optimization when evaluated in high-fidelity simulation.
Book Synopsis Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems by : Yuanzhe Wang
Download or read book Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems written by Yuanzhe Wang and published by Springer Nature. This book was released on 2022-09-21 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents theoretical foundations and technical implementation guidelines for multi-vehicle fleet maneuvering, which can be implemented by readers and can also be a basis for future research. As a research monograph, this book presents fundamental concepts, theories, and technologies for localization, motion planning, and control of multi-vehicle systems, which can be a reference book for researchers and graduate students from different levels. As a technical guide, this book provides implementation guidelines, pseudocode, and flow diagrams for practitioners to develop their own systems. Readers should have a preliminary knowledge of mobile robotics, state estimation and automatic control to fully understand the contents in this book. To make this book more readable and understandable, extensive experimental results are presented to support each chapter.
Book Synopsis VEHICLE DYNAMICS MODELING FOR AUTONOMOUS DRIFTING AND CLOTHOID BASED WAYPOINT INTERPOLATION by :
Download or read book VEHICLE DYNAMICS MODELING FOR AUTONOMOUS DRIFTING AND CLOTHOID BASED WAYPOINT INTERPOLATION written by and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : The advent of autonomous vehicles necessitates a redefinition of road safety regulations, considering a controller can possess better driving skills than an average person. The work presented here partly focuses on a vehicle dynamics model development to help imitate and control vehicle drifting maneuvers. As we see, a professional driver drifting through the traffic while keeping the car safe, it can be utilized to avoid accidents at high speeds, if required. Although drifting can produce higher yaw rates than the regular driving regime, these control capabilities have not yet been exploited in the current automotive control systems. Therefore, this report focuses on developing a vehicle dynamics model to simulate the drifting of an autonomous vehicle that utilizes this high yaw rate property. Drifting control capabilities will increase the vehicle's ability to avoid collisions scenarios where higher than typical yaw rates are required. The other part of the report uses vehicle kinematics equations to generate feasible path planning algorithms for any autonomous vehicle. If we constraint these vehicle kinematics equations for linearly varying curvature of the path, they are called Clothoid curves. This linearly varying curvature is analogous to having a continuous lateral acceleration on the vehicle while cornering, i.e., avoiding jerks. Here, Clothoids are used for the interpolation of waypoints along the path. A mission planner defines waypoints a few meters apart from each other; then, GPS coordinates are used to check whether the vehicle is following these waypoints correctly. Therefore, waypoint interpolation is required for continuous feed of track coordinates to the controller to make faster corrections for the cross-track error and not to wait every time for a low rate GPS signal. Also, the Clothoid curves are used in road construction, thus also provides the ability to create a road model along with a vehicle model which can further be used for better state estimation.
Book Synopsis Optimal Braking Patterns and Forces in Autonomous Safety-Critical Maneuvers by : Victor Fors
Download or read book Optimal Braking Patterns and Forces in Autonomous Safety-Critical Maneuvers written by Victor Fors and published by Linköping University Electronic Press. This book was released on 2019-05-02 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: The trend of more advanced driver-assistance features and the development toward autonomous vehicles enable new possibilities in the area of active safety. With more information available in the vehicle about the surrounding traffic and the road ahead, there is the possibility of improved active-safety systems that make use of this information for stability control in safety-critical maneuvers. Such a system could adaptively make a trade-off between controlling the longitudinal, lateral, and rotational dynamics of the vehicle in such a way that the risk of collision is minimized. To support this development, the main aim of this licentiate thesis is to provide new insights into the optimal behavior for autonomous vehicles in safety-critical situations. The knowledge gained have the potential to be used in future vehicle control systems, which can perform maneuvers at-the-limit of vehicle capabilities. Stability control of a vehicle in autonomous safety-critical at-the-limit maneuvers is analyzed by the use of optimal control. Since analytical solutions of the studied optimal control problems are intractable, they are discretized and solved numerically. A formulation of an optimization criterion depending on a single interpolation parameter is introduced, which results in a continuous family of optimal coordinated steering and braking patterns. This formulation provides several new insights into the relation between different braking patterns for vehicles in at-the-limit maneuvers. The braking patterns bridge the gap between optimal lane-keeping control and optimal yaw control, and have the potential to be used for future active-safety systems that can adapt the level of braking to the situation at hand. A new illustration named attainable force volumes is introduced, which effectively shows how the trajectory of a vehicle maneuver relates to the attainable forces over the duration of the maneuver. It is shown that the optimal behavior develops on the boundary surface of the attainable force volume. Applied to lane-keeping control, this indicates a set of control principles similar to those analytically obtained for friction-limited particle models in earlier research, but is shown to result in vehicle behavior close to the globally optimal solution also for more complex models and scenarios.
Book Synopsis In Complete Control; Simultaneous Path, Speed and Sideslip Angle Control of a Drifting Automobile by : Tushar Goel
Download or read book In Complete Control; Simultaneous Path, Speed and Sideslip Angle Control of a Drifting Automobile written by Tushar Goel and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professional drivers can control their vehicle's position, speed and orientation with an incredible amount of precision even when the open loop dynamics are unstable. They do so by leveraging their understanding of the vehicle's behavior and simultaneous coordination of the vehicle's inputs. As autonomous vehicles are developed, they should be able to drive just as well as professional drivers to ensure successful navigation of emergency scenarios involving unintended rear tire saturation on the road. With that goal, this thesis presents improvements to the existing state of the art of autonomous vehicle drift control supported by experiments using a heavily modified 1981 DMC DeLorean, MARTY. We first present a novel technique to achieve a fully actuated system while drifting. Drawing inspiration from professional drivers, we use brakes along with steering and drive torque simultaneously and convert the system into a fully actuated one. Equilibrium analysis leveraging this simultaneous actuation confirms the expansion of the existing drift equilibria for a given curvature from a curve on the speed-sideslip plane to an area. Similarly, a tangent space analysis confirms that front braking adds another dimension to the available state derivatives; from a surface in the under-actuated case, to a volume. This represents a significant increase in the set of trajectories available to a drifting vehicle, and also an avenue to reliably reduce energy from the system while maintaining control of the vehicle's sideslip and position. Leveraging this fully actuated system, we then present an architecture capable of following a path, while tracking a desired sideslip and speed. The formulation builds upon the existing state of the are of drift control by incorporating speed tracking and precisely coordinating the three inputs. Experimental results using MARTY verify independent control over the position, speed and sideslip through a variety of trajectories while operating within the limits of actuation. They also highlight some limitations when operating at the limits of actuation. These limitations lead to the development of a novel application of nonlinear model predictive control for drifting. The model predictive control framework directly addresses the challenges of arbitrary error dynamics and actuator saturation as the vehicle model and actuation limits are easily embedded in the framework itself. The prediction horizon is capable of trading off between the different objectives when required similar to a professional driver. Experimental results illustrate significantly improved path tracking performance over the existing state of the art. They further demonstrate successful selective prioritization of different objectives. The controller can navigate difficult dynamic trajectories at the limits of actuation where the previous controller exhibited degraded performance. Finally, an augmented nonlinear model predictive control framework expands the operational domain of the vehicle to include the ability to track drift transitions. These highly dynamic maneuvers switch the direction of travel from left to right or vice versa and require operation in highly transient regions of the state space. Successful tracking of `Figure 8' trajectories verifies the expanded operational domain. Comparisons with the original formulation highlight the importance of the augmentations. Designing Figure 8 trajectories which leverage additional braking actuation has the potential to improve performance, however, requires additional model fidelity to be implemented. These contributions significantly increase the operational domain of a drifting vehicle, improve tracking performance, and mitigate the adverse effects of actuator saturation. They extend the applicability of drift controllers to common vehicles on the road which have much more limited actuation than purpose built drift cars. We hope that these contributions will form the basis of advanced safety systems and help improve vehicle safety.
Book Synopsis Advanced Vehicle Control by : Johannes Edelmann
Download or read book Advanced Vehicle Control written by Johannes Edelmann and published by CRC Press. This book was released on 2016-12-19 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Autonomous Control Systems and Vehicles by : Kenzo Nonami
Download or read book Autonomous Control Systems and Vehicles written by Kenzo Nonami and published by Springer Science & Business Media. This book was released on 2013-05-30 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Intelligent Unmanned Systems 2011 was organized by the International Society of Intelligent Unmanned Systems and locally by the Center for Bio-Micro Robotics Research at Chiba University, Japan. The event was the 7th conference continuing from previous conferences held in Seoul, Korea (2005, 2006), Bali, Indonesia (2007), Nanjing, China (2008), Jeju, Korea (2009), and Bali, Indonesia (2010). ICIUS 2011 focused on both theory and application, primarily covering the topics of robotics, autonomous vehicles, intelligent unmanned technologies, and biomimetics. We invited seven keynote speakers who dealt with related state-of-the-art technologies including unmanned aerial vehicles (UAVs) and micro air vehicles (MAVs), flapping wings (FWs), unmanned ground vehicles (UGVs), underwater vehicles (UVs), bio-inspired robotics, advanced control, and intelligent systems, among others. This book is a collection of excellent papers that were updated after presentation at ICIUS2011. All papers that form the chapters of this book were reviewed and revised from the perspective of advanced relevant technologies in the field. The aim of this book is to stimulate interactions among researchers active in the areas pertinent to intelligent unmanned systems.
Book Synopsis Human-Like Decision Making and Control for Autonomous Driving by : Peng Hang
Download or read book Human-Like Decision Making and Control for Autonomous Driving written by Peng Hang and published by CRC Press. This book was released on 2022-07-25 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.
Book Synopsis Deep Learning for Autonomous Vehicle Control by : Sampo Kuutti
Download or read book Deep Learning for Autonomous Vehicle Control written by Sampo Kuutti and published by Morgan & Claypool Publishers. This book was released on 2019-08-08 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: The next generation of autonomous vehicles will provide major improvements in traffic flow, fuel efficiency, and vehicle safety. Several challenges currently prevent the deployment of autonomous vehicles, one aspect of which is robust and adaptable vehicle control. Designing a controller for autonomous vehicles capable of providing adequate performance in all driving scenarios is challenging due to the highly complex environment and inability to test the system in the wide variety of scenarios which it may encounter after deployment. However, deep learning methods have shown great promise in not only providing excellent performance for complex and non-linear control problems, but also in generalizing previously learned rules to new scenarios. For these reasons, the use of deep neural networks for vehicle control has gained significant interest. In this book, we introduce relevant deep learning techniques, discuss recent algorithms applied to autonomous vehicle control, identify strengths and limitations of available methods, discuss research challenges in the field, and provide insights into the future trends in this rapidly evolving field.
Book Synopsis Neural Network Control of Vehicles by : Igor Astrov
Download or read book Neural Network Control of Vehicles written by Igor Astrov and published by Nova Science Publishers. This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In the past few years, considerable interest has been shown and relevant resources have been devoted to the design, development and operation of autonomous aerial, underwater, and sea surface vehicles. The possibility of removing human pilots from danger and the size and cost advantages of autonomous vehicles are indeed attractive, but often have to be compared with the performance that can be attained by human-piloted vehicles, in terms of mission capabilities, efficiency and flexibility. The operation of an autonomous vehicle in an unknown, dynamic and potentially hostile environment is a very complex problem, especially when the autonomous vehicle is required to use its full maneuvering capabilities and to react in real time to changes in the operational environment. A common way of dealing with highly complex systems is via a hierarchical decomposition of the activities to be performed by the autonomous vehicles. However, only limited results can be obtained with this method. Another method is to design a hybrid control system that offers safety and performance guarantees by use of neural control technique. Neural networks appear to offer a new, promising direction toward better understanding of the most difficult control problems that have previously been very difficult or impossible to solve. This book provides basic approaches for the modeling and simulation of neural control systems using the MATLAB/Simulink environment for various types of vehicles, emphasizing realistic dynamics with numerous examples. These types of vehicles include experimental aircraft, self-guided missiles, unmanned miniature helicopters, autonomous underwater vehicles, and more"--
Book Synopsis Autonomous Vehicle Technology by : James M. Anderson
Download or read book Autonomous Vehicle Technology written by James M. Anderson and published by Rand Corporation. This book was released on 2014-01-10 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.
Book Synopsis Autonomous Vehicle Obstacle Avoidance Maneuvers by :
Download or read book Autonomous Vehicle Obstacle Avoidance Maneuvers written by and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : Full market penetration for autonomous vehicle requires complete solutions for operation during winter driving conditions. This work addresses three key issues relevant to the dynamic response of an autonomous vehicle when faced with reduced friction due to snow and ice on the road when attempting a double lane change obstacle avoidance maneuver. Two low friction scenarios as well as an improvement to simulation methods are presented. The first low friction scenario an autonomous vehicle may encounter is one in which the road surface friction coefficient is incorrectly assumed to be dry pavement. This scenario could occur in the presence of clear ice on the road which is undetectable by the vehicle until it begins traversing the effected area. In this case, the vehicle must react in a way which maintains vehicle control during the maneuver by adapting to the loss of tractive force at the wheels. This work presents a method for altering the look ahead distance of the common pure pursuit lateral control method for autonomous vehicles. This method stabilizes the vehicle during the maneuvers by dynamically changing the look ahead distance based on cross track error in addition to vehicle velocity. Implementation in the autonomous test vehicle used in this work shows an elimination of off-road occurrences during double lane changes on ice and a 46\% reduction of off-read occurrences during single lane changes. The second low friction scenario an autonomous vehicle may encounter is one in which the road surface friction coefficient is known by the autonomous vehicle through it's own perception or through vehicle to vehicle/infrastructure communication. In this case the vehicle must plan it's path accordingly to ensure the vehicle successfully avoids the obstacle while maintaining control and passenger comfort. This work presents an optimization method which results in a minimum maneuver length across a profile of friction surfaces at a single velocity. This work also investigates the lack of correlation between the autonomous test platform operating on an icy surface and a simulation using a constant coefficient for low friction surfaces. The simulation environment used accurately predicts vehicle dynamic response when simulating operation on dry pavement with a divergence in response on friction values below that of packed snow ($\mu=0.3$). On lower friction surfaces the test vehicle exhibits significant variation in response to steering input. This work presents a stochastic method for representing friction surface in simulation across a grid map to bring simulation vehicle position prediction in line with test vehicle behavior on icy surfaces. This method shows a strong correlation between the simulation and test vehicle during rapid double lane changes and is further validation through the application of previously developed control and path planning methods.
Book Synopsis Automated Vehicle Control Beyond the Stability Limits by : Yan Ming Jonathan Goh
Download or read book Automated Vehicle Control Beyond the Stability Limits written by Yan Ming Jonathan Goh and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Automated vehicles can access a much wider range of maneuvers - and therefore, avoid accidents in a larger number of scenarios - by operating safely beyond the stability limits. This thesis presents a series of contributions towards this goal, supported throughout by fully autonomous experiments on MARTY, a heavily-modified 1981 DMC DeLorean. First, we develop a physically insightful controller structure for automated drifting along a general path. In stark contrast with conventional driving scenarios, the speed of the vehicle is not explicitly tracked. Instead, we show that the coupling between lateral and longitudinal dynamics, often regarded as a formidable challenge for human drivers, allows velocity to be regarded as a stable zero dynamic under the imposed control law. This approach is experimentally demonstrated on a slowly-changing trajectory. The thesis then builds upon this result to present the fully autonomous execution of highly dynamic drifting maneuvers. The planning of a 'Figure 8' trajectory is formulated as a nonlinear optimization problem. We show that the key challenge is the loss of independent control over the velocity vector and vehicle body rotation rates that occurs when operating at the limits of the achievable state derivatives. Experiments confirm the effectiveness of modifications to the controller that account for this effect. To confidently venture past the well-known stability limits and utilize these transient maneuvers, however, it is critical to know the bounds on what is achievable. This thesis proposes a novel and intuitive approach for defining such an envelope, namely that the relevant criteria is avoiding the loss of steering authority over the rotational dynamics. The utility of this approach is demonstrated through a pair of experiments with and without a 'supervisor' that modifies the underlying controller. While the vehicle successfully completes the maneuver with the supervisor active, it spins out otherwise. Finally, the effectiveness of this combined approach is showcased though a series of tests on a long sustained drifting course of almost 1 kilometer in length, that includes several highly dynamic transitions, and reaches 40 degrees of sideslip, 2.5 rad/s of yaw rate, and speeds of 50km/h.
Book Synopsis Autonomous Road Vehicle Path Planning and Tracking Control by : Levent Guvenc
Download or read book Autonomous Road Vehicle Path Planning and Tracking Control written by Levent Guvenc and published by John Wiley & Sons. This book was released on 2021-12-06 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the latest research in path planning and robust path tracking control In Autonomous Road Vehicle Path Planning and Tracking Control, a team of distinguished researchers delivers a practical and insightful exploration of how to design robust path tracking control. The authors include easy to understand concepts that are immediately applicable to the work of practicing control engineers and graduate students working in autonomous driving applications. Controller parameters are presented graphically, and regions of guaranteed performance are simple to visualize and understand. The book discusses the limits of performance, as well as hardware-in-the-loop simulation and experimental results that are implementable in real-time. Concepts of collision and avoidance are explained within the same framework and a strong focus on the robustness of the introduced tracking controllers is maintained throughout. In addition to a continuous treatment of complex planning and control in one relevant application, the Autonomous Road Vehicle Path Planning and Tracking Control includes: A thorough introduction to path planning and robust path tracking control for autonomous road vehicles, as well as a literature review with key papers and recent developments in the area Comprehensive explorations of vehicle, path, and path tracking models, model-in-the-loop simulation models, and hardware-in-the-loop models Practical discussions of path generation and path modeling available in current literature In-depth examinations of collision free path planning and collision avoidance Perfect for advanced undergraduate and graduate students with an interest in autonomous vehicles, Autonomous Road Vehicle Path Planning and Tracking Control is also an indispensable reference for practicing engineers working in autonomous driving technologies and the mobility groups and sections of automotive OEMs.
Book Synopsis Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions by : Harald Waschl
Download or read book Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions written by Harald Waschl and published by Springer. This book was released on 2018-06-28 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
