Multi Object Adaptive Cruise Control

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Multi-object Adaptive Cruise Control

Author : Rainer Möbus
Publisher :
ISBN 13 : 9783832519582
Total Pages : 199 pages
Book Rating : 4.5/5 (195 download)

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Book Synopsis Multi-object Adaptive Cruise Control by : Rainer Möbus

Download or read book Multi-object Adaptive Cruise Control written by Rainer Möbus and published by . This book was released on 2008 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis the development and implementation of a multi-object adaptive cruise control (ACC) system is presented. A sensor fusion configuration as well as object tracking and sensor fusion algorithms are presented to obtain a thorough representation of the traffic scene ahead of an ACC-controlled vehicle.The sensor fusion configuration includes a 77GHz radar sensor and an IR laser sensor for object detection. A monocular CCD camera system is employed for lane recognition and the lane assignment of the detected objects. Experimental results of all presented algorithms are given.The control model and the control objectives of a multi-object ACC system are presented. The multi-object ACC problem is looked at as a constrained optimal control problem incorporating the dynamics of the traffic scene, the driver's desire to cruise at a certain velocity, the lane assignment of the other road users, the objective of respecting certain minimum distances to other road users and to adapt the velocity to the flow of the other road users. Additionally, overtaking a preceding vehicle on the right can be avoided. The choice of the relevant object is implicitly determined by the cost function and the optimization criteria. Constraints imposed by physical limitations as well as by comfort and safety considerations can be included and a receding horizon control strategy is applied.The multi-object ACC problem is looked at as a constrained finite time optimal control (CFTOC) problem with a mixed logical dynamical (MLD) system description. With an efficient way to represent and evaluate the explicit solution to the corresponding multi-parametric mixed integer quadratic program, it is possible to include all desired control objectives in the problem formulation and still obtain an explicit solution suitable for real-time operation. Simulation results of this multi-object ACC control approach are presented and the controller is compared to a reference ACC controller. With the efficient controller representation the multi-object ACC controller is implemented on the ECU of a standard production platform vehicle to confirm the simulation results in real traffic.

Multiple Target Tracking in the Adaptive Cruise Control Environment Using Multiple Models and Probabilistic Data Association

Author : Derek Stanley Caveney
Publisher :
ISBN 13 :
Total Pages : 100 pages
Book Rating : 4.:/5 (52 download)

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Book Synopsis Multiple Target Tracking in the Adaptive Cruise Control Environment Using Multiple Models and Probabilistic Data Association by : Derek Stanley Caveney

Download or read book Multiple Target Tracking in the Adaptive Cruise Control Environment Using Multiple Models and Probabilistic Data Association written by Derek Stanley Caveney and published by . This book was released on 2001 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hybrid Systems: Computation and Control

Author : Oded Maler
Publisher : Springer Science & Business Media
ISBN 13 : 3540009132
Total Pages : 569 pages
Book Rating : 4.5/5 (4 download)

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Book Synopsis Hybrid Systems: Computation and Control by : Oded Maler

Download or read book Hybrid Systems: Computation and Control written by Oded Maler and published by Springer Science & Business Media. This book was released on 2003-03-18 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitues the refereed proceedings of the 6th International Workshop on Hybrid Systems: Computation and Control, HSCC 2003, held in Prague, Czech Republic, in April 2003. The 36 revised full papers presented were carefully reviewed and selected from 75 submissions. All current issues in hybrid systems are addressed including formal methods for analysis and control, computational tools, as well as innovative applications in various fields such as automotive control, the immune system, electrical circuits, operating systems, and human brains.

Hybrid Systems: Computation and Control

Author : Freek Wiedijk
Publisher : Springer
ISBN 13 : 354036580X
Total Pages : 569 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Hybrid Systems: Computation and Control by : Freek Wiedijk

Download or read book Hybrid Systems: Computation and Control written by Freek Wiedijk and published by Springer. This book was released on 2003-07-01 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the Sixth Workshop on Hybrid Systems: Computation and Control (HSCC 2003), which was held in Prague, during April 3–5, 2003. The Hybrid Systems workshops attract researchers interested in the modeling, analysis, control, and implementation of systems which involve the interaction of both discrete and continuous state dynamics. The newest results and latest developments in hybrid system models, formal methods for analysis and control, computational tools, as well as new applications and examples are presented at these annual meetings. The Sixth Workshop continued the series of workshops held in Grenoble, France (HART’97), Berkeley, California, USA (HSCC’98), Nijmegen, The Neth- lands (HSCC’99), Pittsburgh, Pennsylvania, USA (HSCC 2000), Rome, Italy (HSCC 2001), and Stanford, California, USA (HSCC 2002). Proceedings of these workshops have been published by Springer-Verlag in the Lecture Notes in C- puter Science (LNCS) series. This year we assembled a technical program committee with a broad expertise in formal methods in computer science, control theory, applied mathematics, and arti?cial intelligence. We received a set of 75 high-quality submitted papers. After detailed review and discussion of these papers by the program committee, 36 papers were accepted for presentation at the workshop, and the ?nal versions of these papers appear in this volume.

Automotive Model Predictive Control

Author : Luigi Del Re
Publisher : Springer Science & Business Media
ISBN 13 : 1849960704
Total Pages : 291 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Automotive Model Predictive Control by : Luigi Del Re

Download or read book Automotive Model Predictive Control written by Luigi Del Re and published by Springer Science & Business Media. This book was released on 2010-03-11 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met. Accordingly, automotive control has been increasing its authority and responsibility – at the price of complexity and di?cult tuning. The progressive evolution has been mainly ledby speci?capplicationsandshorttermtargets,withthe consequencethat automotive control is to a very large extent more heuristic than systematic. Product requirements are still increasing and new challenges are coming from potentially huge markets like India and China, and against this ba- ground there is wide consensus both in the industry and academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and tuning times and possibly costs. Model predictive control is a kind of model-based control design approach which has experienced a growing success since the middle of the 1980s for “slow” complex plants, in particular of the chemical and process industry. In the last decades, severaldevelopments haveallowedusing these methods also for “fast”systemsandthis hassupporteda growinginterestinitsusealsofor automotive applications, with several promising results reported. Still there is no consensus on whether model predictive control with its high requi- ments on model quality and on computational power is a sensible choice for automotive control.

Hybrid Systems: Computation and Control

Author : Joao Hespanha
Publisher : Springer Science & Business Media
ISBN 13 : 3540331700
Total Pages : 595 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Hybrid Systems: Computation and Control by : Joao Hespanha

Download or read book Hybrid Systems: Computation and Control written by Joao Hespanha and published by Springer Science & Business Media. This book was released on 2006-03-20 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Workshop on Hybrid Systems: Computation and Control, HSCC 2006, held in Santa Barbara, CA, USA in March 2006. The 39 revised full papers presented together with the abstracts of 3 invited talks were carefully reviewed and selected from 79 submissions. Among the topics addressed are tools for analysis and verification, control and optimization, modeling, engineering applications, and emerging directions in programming language support and implementation. The papers focus on modeling, analysis, and implementation of dynamic and reactive systems involving both discrete and continuous behaviors.

Interacting Multiple Algorithm for Estimation and Control

Author : Saurabh Prabhat
Publisher :
ISBN 13 :
Total Pages : 144 pages
Book Rating : 4.:/5 (613 download)

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Book Synopsis Interacting Multiple Algorithm for Estimation and Control by : Saurabh Prabhat

Download or read book Interacting Multiple Algorithm for Estimation and Control written by Saurabh Prabhat and published by . This book was released on 2004 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hybrid Systems : Computation and Control

Author :
Publisher :
ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Hybrid Systems : Computation and Control by :

Download or read book Hybrid Systems : Computation and Control written by and published by . This book was released on 2003 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Predictive Approaches to Control of Complex Systems

Author : Gorazd Karer
Publisher : Springer
ISBN 13 : 3642339476
Total Pages : 261 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Predictive Approaches to Control of Complex Systems by : Gorazd Karer

Download or read book Predictive Approaches to Control of Complex Systems written by Gorazd Karer and published by Springer. This book was released on 2012-09-20 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: A predictive control algorithm uses a model of the controlled system to predict the system behavior for various input scenarios and determines the most appropriate inputs accordingly. Predictive controllers are suitable for a wide range of systems; therefore, their advantages are especially evident when dealing with relatively complex systems, such as nonlinear, constrained, hybrid, multivariate systems etc. However, designing a predictive control strategy for a complex system is generally a difficult task, because all relevant dynamical phenomena have to be considered. Establishing a suitable model of the system is an essential part of predictive control design. Classic modeling and identification approaches based on linear-systems theory are generally inappropriate for complex systems; hence, models that are able to appropriately consider complex dynamical properties have to be employed in a predictive control algorithm. This book first introduces some modeling frameworks, which can encompass the most frequently encountered complex dynamical phenomena and are practically applicable in the proposed predictive control approaches. Furthermore, unsupervised learning methods that can be used for complex-system identification are treated. Finally, several useful predictive control algorithms for complex systems are proposed and their particular advantages and drawbacks are discussed. The presented modeling, identification and control approaches are complemented by illustrative examples. The book is aimed towards researches and postgraduate students interested in modeling, identification and control, as well as towards control engineers needing practically usable advanced control methods for complex systems.

Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking

Author : Grinberg, Michael
Publisher : KIT Scientific Publishing
ISBN 13 : 3731507811
Total Pages : 296 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking by : Grinberg, Michael

Download or read book Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking written by Grinberg, Michael and published by KIT Scientific Publishing. This book was released on 2018-08-10 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Hybrid Systems Control

Author : Jan Lunze
Publisher : Cambridge University Press
ISBN 13 : 0521765056
Total Pages : 583 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis Handbook of Hybrid Systems Control by : Jan Lunze

Download or read book Handbook of Hybrid Systems Control written by Jan Lunze and published by Cambridge University Press. This book was released on 2009-10-15 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sets out core theory and reviews new methods and applications to show how hybrid systems can be modelled and understood.

Multi Sensor Multi Object Tracking in Autonomous Vehicles

Author : Surya Kollazhi Manghat
Publisher :
ISBN 13 :
Total Pages : 96 pages
Book Rating : 4.:/5 (127 download)

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Book Synopsis Multi Sensor Multi Object Tracking in Autonomous Vehicles by : Surya Kollazhi Manghat

Download or read book Multi Sensor Multi Object Tracking in Autonomous Vehicles written by Surya Kollazhi Manghat and published by . This book was released on 2019 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self driving cars becoming more popular nowadays, which transport with it's own intelligence and take appropriate actions at adequate time. Safety is the key factor in driving environment. A simple fail of action can cause many fatalities. Computer Vision has major part in achieving this, it help the autonomous vehicle to perceive the surroundings. Detection is a very popular technique in helping to capture the surrounding for an autonomous car. At the same time tracking also has important role in this by providing dynamic of detected objects. Autonomous cars combine a variety of sensors such as RADAR, LiDAR, sonar, GPS, odometry and inertial measurement units to perceive their surroundings. Driver-assistive technologies like Adaptive Cruise Control, Forward Collision Warning system (FCW) and Collision Mitigation by Breaking (CMbB) ensure safety while driving. Perceiving the information from environment include setting up sensors on the car. These sensors will collect the data it sees and this will be further processed for taking actions. The sensor system can be a single sensor or multiple sensor. Different sensors have different strengths and weaknesses which makes the combination of them important for technologies like Autonomous Driving. Each sensor will have a limit of accuracy on it's readings, so multi sensor system can help to overcome this defects. This thesis is an attempt to develop a multi sensor multi object tracking method to perceive the surrounding of the ego vehicle. When the Object detection gives information about the presence of objects in a frame, Object Tracking goes beyond simple observation to more useful action of monitoring objects. The experimental results conducted on KITTI dataset indicate that our proposed state estimation system for Multi Object Tracking works well in various challenging environments.

Multi-sensor Fusion for Autonomous Driving

Author : Xinyu Zhang
Publisher : Springer Nature
ISBN 13 : 9819932807
Total Pages : 237 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Multi-sensor Fusion for Autonomous Driving by : Xinyu Zhang

Download or read book Multi-sensor Fusion for Autonomous Driving written by Xinyu Zhang and published by Springer Nature. This book was released on with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Association for Multi-Object Visual Tracking

Author : Margrit Betke
Publisher : Springer Nature
ISBN 13 : 3031018168
Total Pages : 110 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data Association for Multi-Object Visual Tracking by : Margrit Betke

Download or read book Data Association for Multi-Object Visual Tracking written by Margrit Betke and published by Springer Nature. This book was released on 2022-05-31 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the human quest for scientific knowledge, empirical evidence is collected by visual perception. Tracking with computer vision takes on the important role to reveal complex patterns of motion that exist in the world we live in. Multi-object tracking algorithms provide new information on how groups and individual group members move through three-dimensional space. They enable us to study in depth the relationships between individuals in moving groups. These may be interactions of pedestrians on a crowded sidewalk, living cells under a microscope, or bats emerging in large numbers from a cave. Being able to track pedestrians is important for urban planning; analysis of cell interactions supports research on biomaterial design; and the study of bat and bird flight can guide the engineering of aircraft. We were inspired by this multitude of applications to consider the crucial component needed to advance a single-object tracking system to a multi-object tracking system—data association. Data association in the most general sense is the process of matching information about newly observed objects with information that was previously observed about them. This information may be about their identities, positions, or trajectories. Algorithms for data association search for matches that optimize certain match criteria and are subject to physical conditions. They can therefore be formulated as solving a "constrained optimization problem"—the problem of optimizing an objective function of some variables in the presence of constraints on these variables. As such, data association methods have a strong mathematical grounding and are valuable general tools for computer vision researchers. This book serves as a tutorial on data association methods, intended for both students and experts in computer vision. We describe the basic research problems, review the current state of the art, and present some recently developed approaches. The book covers multi-object tracking in two and three dimensions. We consider two imaging scenarios involving either single cameras or multiple cameras with overlapping fields of view, and requiring across-time and across-view data association methods. In addition to methods that match new measurements to already established tracks, we describe methods that match trajectory segments, also called tracklets. The book presents a principled application of data association to solve two interesting tasks: first, analyzing the movements of groups of free-flying animals and second, reconstructing the movements of groups of pedestrians. We conclude by discussing exciting directions for future research.

Predictive Cruise Control for Road Vehicles Using Road and Traffic Information

Author : Péter Gáspár
Publisher : Springer
ISBN 13 : 3030041166
Total Pages : 226 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Predictive Cruise Control for Road Vehicles Using Road and Traffic Information by : Péter Gáspár

Download or read book Predictive Cruise Control for Road Vehicles Using Road and Traffic Information written by Péter Gáspár and published by Springer. This book was released on 2018-11-19 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the design of a multi-criteria automated vehicle longitudinal control system as an enhancement of the adaptive cruise control system. It analyses the effects of various parameters on the average traffic speed and the traction force of the vehicles in mixed traffic from a macroscopic point of view, and also demonstrates why research and development in speed control and predictive cruise control is important. The book also summarises the main steps of the system’s robust control design, from the modelling to its synthesis, and discusses both the theoretical background and the practical computation method of the control invariant sets. The book presents the analysis and verification of the system both in a simulation environment and under real-world conditions. By including the systematic design of the predictive cruise control using road and traffic information, it shows how optimization criteria can lead to multiobjective solutions, and the advanced optimization and control design methods required. The book focuses on a particular method by which the unfavourable effect of the traffic flow consideration can be reduced. It also includes simulation examples in which the speed design is performed, while the analysis is carried out in simulation and visualization environments. This book is a valuable reference for researchers and control engineers working on traffic control, vehicle control and control theory. It is also of interest to students and academics as it provides an overview of the strong interaction between the traffic flow and an individual vehicle cruising from both a microscopic and a macroscopic point of view.

Autonomous Intelligent Vehicles

Author : Hong Cheng
Publisher : Springer Science & Business Media
ISBN 13 : 1447122801
Total Pages : 151 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Autonomous Intelligent Vehicles by : Hong Cheng

Download or read book Autonomous Intelligent Vehicles written by Hong Cheng and published by Springer Science & Business Media. This book was released on 2011-11-15 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.

Handbook of Driver Assistance Systems

Author : Hermann Winner
Publisher : Springer
ISBN 13 : 9783319123516
Total Pages : 0 pages
Book Rating : 4.1/5 (235 download)

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Book Synopsis Handbook of Driver Assistance Systems by : Hermann Winner

Download or read book Handbook of Driver Assistance Systems written by Hermann Winner and published by Springer. This book was released on 2015-10-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.