Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems

Preface
Contents
Acronyms
1 Introduction
	1.1 Background
		1.1.1 Motivation
		1.1.2 Challenges
	1.2 Objectives of This Book
	1.3 Preview of Chapters
	References
2 Technical Background
	2.1 Vehicle Model
		2.1.1 UGV Model
		2.1.2 UAV Model
	2.2 Fleet Configuration
		2.2.1 Description
		2.2.2 Several Common Configurations
		2.2.3 Optimal Configuration
	2.3 Collaborative Localization
		2.3.1 Infrastructure-Based Localization
		2.3.2 Infrastructure-Free Localization
	2.4 Fleet Keeping and Reconstruction
		2.4.1 Fleet Keeping
		2.4.2 Fleet Reconstruction
		2.4.3 Cohesion Maintenance
		2.4.4 Visibility Maintenance
	2.5 Collision Avoidance
		2.5.1 Map-Based Collision Avoidance
		2.5.2 Reactive Collision Avoidance
	References
3 Anchor-Based Flexible Fleet Maneuvering in Open Environments
	3.1 Introduction
	3.2 Problem Formulation
		3.2.1 Vehicle Model
		3.2.2 Fleet Configuration
		3.2.3 Problem Statement
	3.3 Approach
		3.3.1 Anchor-Based Localization
		3.3.2 Flexible Fleet Planning and Control
		3.3.3 Intra-Fleet Information Sharing
	3.4 Validation
		3.4.1 Experimental Setup
		3.4.2 Experimental Results
	3.5 Conclusions
	References
4 Map-Based Virtual-Structure Fleet Maneuvering in Cluttered Environments
	4.1 Introduction
	4.2 Problem Formulation
		4.2.1 Vehicle Model
		4.2.2 Fleet Configuration
		4.2.3 System Constraints
		4.2.4 Problem Statement
	4.3 Approach
		4.3.1 Map-Based Localization
		4.3.2 Multi-objective Fleet Planning and Control
		4.3.3 Intra-Fleet Information Sharing
	4.4 Validation
		4.4.1 Experimental Setup
		4.4.2 Experimental Results
	4.5 Conclusions
	References
5 Vision-Based Leader-Follower Queue Maneuvering in Unknown Cluttered Environments
	5.1 Introduction
	5.2 Problem Formulation
		5.2.1 Vehicle Model
		5.2.2 Fleet Configuration
		5.2.3 System Constraints
		5.2.4 Leader-Loss Situation
		5.2.5 Problem Statement
	5.3 Approach
		5.3.1 Vision Detection and Fleet Keeping
		5.3.2 Unknown Obstacle Avoidance
		5.3.3 Leader-Loss Reaction
	5.4 Validation
		5.4.1 Experimental Setup
		5.4.2 Experimental Results
	5.5 Conclusions
	References
6 Vision-Based Flexible Fleet Maneuvering in Unknown Cluttered Environments
	6.1 Introduction
	6.2 Problem Formulation
		6.2.1 Vehicle Model
		6.2.2 Fleet Configuration
		6.2.3 System Constraints
		6.2.4 Problem Statement
	6.3 Approach
		6.3.1 Vision-Based Pose Estimation
		6.3.2 Flexible Fleet Planning
		6.3.3 Multi-objective Resolution
		6.3.4 Intra-Fleet Information Sharing
	6.4 Validation
		6.4.1 Experimental Setup
		6.4.2 Experimental Results
	6.5 Conclusions
	References
7 Map Matching Based Leader-Follower Path Retracing in Infrastructure-Free Environments
	7.1 Introduction
	7.2 Problem Formulation
		7.2.1 Vehicle Model
		7.2.2 Fleet Configuration
		7.2.3 Problem Statement
	7.3 Approach
		7.3.1 Map Matching Based Relative Localization
		7.3.2 Fleet Motion Planning and Control
		7.3.3 Intra-Fleet Information Sharing
	7.4 Validation
		7.4.1 Experimental Setup
		7.4.2 Experimental Results
	7.5 Conclusions
	References
8 Multi-UAV Optimal Fleet Flying for Air Patrol in Constrained Environments
	8.1 Introduction
	8.2 Problem Formulation
		8.2.1 Vehicle Model
		8.2.2 Fleet Configuration
		8.2.3 Communication Network
		8.2.4 Problem Statement
	8.3 Approach
		8.3.1 Configuration Design
		8.3.2 Reference Generation
		8.3.3 Trajectory Replanning
		8.3.4 A2G and A2A Information Sharing
	8.4 Validation
		8.4.1 Simulation Setup
		8.4.2 Simulation Results
	8.5 Conclusions
	References
9 Conclusion
	9.1 Summary
	9.2 Open Challenges