Decision Making, Planning, and Control Strategies for Intelligent Vehicles:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing AG
2020
|
| Schriftenreihe: | Synthesis Lectures on Advances in Automotive Technology Ser
|
| Schlagworte: | |
| Beschreibung: | 1 Online-Ressource (135 Seiten) |
| ISBN: | 9783031015069 |
Internformat
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| 245 | 1 | 0 | |a Decision Making, Planning, and Control Strategies for Intelligent Vehicles |
| 264 | 1 | |a Cham |b Springer International Publishing AG |c 2020 | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 Online-Ressource (135 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Synthesis Lectures on Advances in Automotive Technology Ser | |
| 505 | 8 | |a Cover -- Copyright page -- Title page -- Contents -- Acknowledgments -- Introduction -- Brief Introductions on Trajectory Planning for Intelligent Vehicles -- The Rapidly Exploring Random Tree (RRT) Method -- Intelligent Swarm Algorithm -- Brief Introductions on Trajectory Following Control -- Classical Transfer Function Model -- Single-Point Preview-Following Model -- Multi-Point Preview-Following Model -- Human-Automation Cooperative Driving -- Summary -- Decision Making for Intelligent Vehicles -- Introduction -- Decision-Making Methods -- Finite State Machine for Decision Making -- Dynamic Game for Decision Making -- Imitation Learning for Decision Making -- Decision Making by Deep Q-Learning -- Markov Decision Process -- Deep Q-Network (DQN) -- Case Study -- Summary -- Path and Speed Planning for Intelligent Vehicles -- Premiere -- Geometric Model of the Structured Road -- Harmonic Artificial Potential Function -- Natural Cubic Spline -- Path Planning with Elastic Bands -- Hazard Potential Construction -- Elastic Bands -- Solution of the Elastic Bands -- Study Cases -- Path Planning with Harmonic Potentials for Obstacle Avoidance -- Optimal Path Planning with Natural Cubic Splines -- The Traveled Distance -- The Curvature -- Path Heading -- Path-Planning Solution for Specific Maneuvers -- Speed Planning Under the Non-Following Scenario -- Speed Planning by the Multi-Object Optimization Based on High-Order Polynomials -- Speed Planning by the Natural Cubic Spline and Convex Optimization -- Case Study -- Speed Planning in the Case of Car Following -- Conclusions -- Robust Trajectory Tracking Methods for Intelligent Vehicles -- Longitudinal Velocity-Tracking Controller -- Robust SMC Steering Controller -- Trajectory Tracking by the Linearized Time-Varying MPC -- Nonlinear 5DOF Vehicle Model and Tire Model -- Model Linearization and Optimization | |
| 505 | 8 | |a Case Study -- Summary -- Control Strategies for Human-Automation Cooperative Driving Systems -- Driving Intention Recognition -- Data Collecting Experiment and Processing -- Support Vector Machine -- iMLCU Method -- Situation Assessment -- Driving Safety Field -- TTC-Based Evaluation -- Game-Based Cooperative Driving Strategy -- Non-cooperative Nash Equilibrium -- Dynamic Authority Allocation Strategy -- Case Study -- Fuzzy-Based Cooperative Driving Strategy -- Framework Illustration -- Performance Index -- Driver's Driving Intention and Desired Maneuver -- Fuzzy-Based Strategy -- Case Study -- Summary -- Bibliography -- Authors' Biographies | |
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| 700 | 1 | |a Zhao, Song |e Sonstige |4 oth | |
| 700 | 1 | |a Song, Xiaolin |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Cao, Haotian |t Decision Making, Planning, and Control Strategies for Intelligent Vehicles |d Cham : Springer International Publishing AG,c2020 |z 9783031003783 |
| 912 | |a ZDB-30-PQE | ||
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Datensatz im Suchindex
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| author | Cao, Haotian |
| author_facet | Cao, Haotian |
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| author_sort | Cao, Haotian |
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| building | Verbundindex |
| bvnumber | BV048323260 |
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| contents | Cover -- Copyright page -- Title page -- Contents -- Acknowledgments -- Introduction -- Brief Introductions on Trajectory Planning for Intelligent Vehicles -- The Rapidly Exploring Random Tree (RRT) Method -- Intelligent Swarm Algorithm -- Brief Introductions on Trajectory Following Control -- Classical Transfer Function Model -- Single-Point Preview-Following Model -- Multi-Point Preview-Following Model -- Human-Automation Cooperative Driving -- Summary -- Decision Making for Intelligent Vehicles -- Introduction -- Decision-Making Methods -- Finite State Machine for Decision Making -- Dynamic Game for Decision Making -- Imitation Learning for Decision Making -- Decision Making by Deep Q-Learning -- Markov Decision Process -- Deep Q-Network (DQN) -- Case Study -- Summary -- Path and Speed Planning for Intelligent Vehicles -- Premiere -- Geometric Model of the Structured Road -- Harmonic Artificial Potential Function -- Natural Cubic Spline -- Path Planning with Elastic Bands -- Hazard Potential Construction -- Elastic Bands -- Solution of the Elastic Bands -- Study Cases -- Path Planning with Harmonic Potentials for Obstacle Avoidance -- Optimal Path Planning with Natural Cubic Splines -- The Traveled Distance -- The Curvature -- Path Heading -- Path-Planning Solution for Specific Maneuvers -- Speed Planning Under the Non-Following Scenario -- Speed Planning by the Multi-Object Optimization Based on High-Order Polynomials -- Speed Planning by the Natural Cubic Spline and Convex Optimization -- Case Study -- Speed Planning in the Case of Car Following -- Conclusions -- Robust Trajectory Tracking Methods for Intelligent Vehicles -- Longitudinal Velocity-Tracking Controller -- Robust SMC Steering Controller -- Trajectory Tracking by the Linearized Time-Varying MPC -- Nonlinear 5DOF Vehicle Model and Tire Model -- Model Linearization and Optimization Case Study -- Summary -- Control Strategies for Human-Automation Cooperative Driving Systems -- Driving Intention Recognition -- Data Collecting Experiment and Processing -- Support Vector Machine -- iMLCU Method -- Situation Assessment -- Driving Safety Field -- TTC-Based Evaluation -- Game-Based Cooperative Driving Strategy -- Non-cooperative Nash Equilibrium -- Dynamic Authority Allocation Strategy -- Case Study -- Fuzzy-Based Cooperative Driving Strategy -- Framework Illustration -- Performance Index -- Driver's Driving Intention and Desired Maneuver -- Fuzzy-Based Strategy -- Case Study -- Summary -- Bibliography -- Authors' Biographies |
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| format | Electronic eBook |
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| id | DE-604.BV048323260 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T20:12:42Z |
| indexdate | 2024-07-10T09:35:16Z |
| institution | BVB |
| isbn | 9783031015069 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033702556 |
| oclc_num | 1181969897 |
| open_access_boolean | |
| physical | 1 Online-Ressource (135 Seiten) |
| psigel | ZDB-30-PQE |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer International Publishing AG |
| record_format | marc |
| series2 | Synthesis Lectures on Advances in Automotive Technology Ser |
| spelling | Cao, Haotian Verfasser aut Decision Making, Planning, and Control Strategies for Intelligent Vehicles Cham Springer International Publishing AG 2020 ©2020 1 Online-Ressource (135 Seiten) txt rdacontent c rdamedia cr rdacarrier Synthesis Lectures on Advances in Automotive Technology Ser Cover -- Copyright page -- Title page -- Contents -- Acknowledgments -- Introduction -- Brief Introductions on Trajectory Planning for Intelligent Vehicles -- The Rapidly Exploring Random Tree (RRT) Method -- Intelligent Swarm Algorithm -- Brief Introductions on Trajectory Following Control -- Classical Transfer Function Model -- Single-Point Preview-Following Model -- Multi-Point Preview-Following Model -- Human-Automation Cooperative Driving -- Summary -- Decision Making for Intelligent Vehicles -- Introduction -- Decision-Making Methods -- Finite State Machine for Decision Making -- Dynamic Game for Decision Making -- Imitation Learning for Decision Making -- Decision Making by Deep Q-Learning -- Markov Decision Process -- Deep Q-Network (DQN) -- Case Study -- Summary -- Path and Speed Planning for Intelligent Vehicles -- Premiere -- Geometric Model of the Structured Road -- Harmonic Artificial Potential Function -- Natural Cubic Spline -- Path Planning with Elastic Bands -- Hazard Potential Construction -- Elastic Bands -- Solution of the Elastic Bands -- Study Cases -- Path Planning with Harmonic Potentials for Obstacle Avoidance -- Optimal Path Planning with Natural Cubic Splines -- The Traveled Distance -- The Curvature -- Path Heading -- Path-Planning Solution for Specific Maneuvers -- Speed Planning Under the Non-Following Scenario -- Speed Planning by the Multi-Object Optimization Based on High-Order Polynomials -- Speed Planning by the Natural Cubic Spline and Convex Optimization -- Case Study -- Speed Planning in the Case of Car Following -- Conclusions -- Robust Trajectory Tracking Methods for Intelligent Vehicles -- Longitudinal Velocity-Tracking Controller -- Robust SMC Steering Controller -- Trajectory Tracking by the Linearized Time-Varying MPC -- Nonlinear 5DOF Vehicle Model and Tire Model -- Model Linearization and Optimization Case Study -- Summary -- Control Strategies for Human-Automation Cooperative Driving Systems -- Driving Intention Recognition -- Data Collecting Experiment and Processing -- Support Vector Machine -- iMLCU Method -- Situation Assessment -- Driving Safety Field -- TTC-Based Evaluation -- Game-Based Cooperative Driving Strategy -- Non-cooperative Nash Equilibrium -- Dynamic Authority Allocation Strategy -- Case Study -- Fuzzy-Based Cooperative Driving Strategy -- Framework Illustration -- Performance Index -- Driver's Driving Intention and Desired Maneuver -- Fuzzy-Based Strategy -- Case Study -- Summary -- Bibliography -- Authors' Biographies Motor vehicles-Automatic control Electronic books Li, Mingjun Sonstige oth Zhao, Song Sonstige oth Song, Xiaolin Sonstige oth Erscheint auch als Druck-Ausgabe Cao, Haotian Decision Making, Planning, and Control Strategies for Intelligent Vehicles Cham : Springer International Publishing AG,c2020 9783031003783 |
| spellingShingle | Cao, Haotian Decision Making, Planning, and Control Strategies for Intelligent Vehicles Cover -- Copyright page -- Title page -- Contents -- Acknowledgments -- Introduction -- Brief Introductions on Trajectory Planning for Intelligent Vehicles -- The Rapidly Exploring Random Tree (RRT) Method -- Intelligent Swarm Algorithm -- Brief Introductions on Trajectory Following Control -- Classical Transfer Function Model -- Single-Point Preview-Following Model -- Multi-Point Preview-Following Model -- Human-Automation Cooperative Driving -- Summary -- Decision Making for Intelligent Vehicles -- Introduction -- Decision-Making Methods -- Finite State Machine for Decision Making -- Dynamic Game for Decision Making -- Imitation Learning for Decision Making -- Decision Making by Deep Q-Learning -- Markov Decision Process -- Deep Q-Network (DQN) -- Case Study -- Summary -- Path and Speed Planning for Intelligent Vehicles -- Premiere -- Geometric Model of the Structured Road -- Harmonic Artificial Potential Function -- Natural Cubic Spline -- Path Planning with Elastic Bands -- Hazard Potential Construction -- Elastic Bands -- Solution of the Elastic Bands -- Study Cases -- Path Planning with Harmonic Potentials for Obstacle Avoidance -- Optimal Path Planning with Natural Cubic Splines -- The Traveled Distance -- The Curvature -- Path Heading -- Path-Planning Solution for Specific Maneuvers -- Speed Planning Under the Non-Following Scenario -- Speed Planning by the Multi-Object Optimization Based on High-Order Polynomials -- Speed Planning by the Natural Cubic Spline and Convex Optimization -- Case Study -- Speed Planning in the Case of Car Following -- Conclusions -- Robust Trajectory Tracking Methods for Intelligent Vehicles -- Longitudinal Velocity-Tracking Controller -- Robust SMC Steering Controller -- Trajectory Tracking by the Linearized Time-Varying MPC -- Nonlinear 5DOF Vehicle Model and Tire Model -- Model Linearization and Optimization Case Study -- Summary -- Control Strategies for Human-Automation Cooperative Driving Systems -- Driving Intention Recognition -- Data Collecting Experiment and Processing -- Support Vector Machine -- iMLCU Method -- Situation Assessment -- Driving Safety Field -- TTC-Based Evaluation -- Game-Based Cooperative Driving Strategy -- Non-cooperative Nash Equilibrium -- Dynamic Authority Allocation Strategy -- Case Study -- Fuzzy-Based Cooperative Driving Strategy -- Framework Illustration -- Performance Index -- Driver's Driving Intention and Desired Maneuver -- Fuzzy-Based Strategy -- Case Study -- Summary -- Bibliography -- Authors' Biographies Motor vehicles-Automatic control |
| title | Decision Making, Planning, and Control Strategies for Intelligent Vehicles |
| title_auth | Decision Making, Planning, and Control Strategies for Intelligent Vehicles |
| title_exact_search | Decision Making, Planning, and Control Strategies for Intelligent Vehicles |
| title_exact_search_txtP | Decision Making, Planning, and Control Strategies for Intelligent Vehicles |
| title_full | Decision Making, Planning, and Control Strategies for Intelligent Vehicles |
| title_fullStr | Decision Making, Planning, and Control Strategies for Intelligent Vehicles |
| title_full_unstemmed | Decision Making, Planning, and Control Strategies for Intelligent Vehicles |
| title_short | Decision Making, Planning, and Control Strategies for Intelligent Vehicles |
| title_sort | decision making planning and control strategies for intelligent vehicles |
| topic | Motor vehicles-Automatic control |
| topic_facet | Motor vehicles-Automatic control |
| work_keys_str_mv | AT caohaotian decisionmakingplanningandcontrolstrategiesforintelligentvehicles AT limingjun decisionmakingplanningandcontrolstrategiesforintelligentvehicles AT zhaosong decisionmakingplanningandcontrolstrategiesforintelligentvehicles AT songxiaolin decisionmakingplanningandcontrolstrategiesforintelligentvehicles |