Visibility Analysis and Sensor Planning in Dynamic Environments 1st edition by Anurag Mittal, Larry Davis ISBN 3540219842 9783540219842

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ISBN 10:       3540219842
ISBN 13: 978-3540219842
Author:    Anurag Mittal, Larry S. Davis     
 

Visibility Analysis and Sensor Planning in Dynamic Environments 1st Table of contents:

1. Introduction

   • 1.1 Background and Motivation
   • 1.2 The Importance of Visibility in Dynamic Environments
   • 1.3 Challenges in Sensor Planning for Dynamic Systems
   • 1.4 Objectives and Contributions of the Paper
   • 1.5 Structure of the Paper

2. Related Work

   • 2.1 Overview of Visibility Analysis Techniques
   • 2.2 Sensor Planning and Placement Algorithms
   • 2.3 Dynamic Environments: Models and Challenges
   • 2.4 Applications in Robotics, Surveillance, and Autonomous Systems
   • 2.5 Limitations of Existing Approaches

3. Fundamentals of Visibility Analysis

   • 3.1 Definition and Types of Visibility
   • 3.2 Computational Geometry Approaches to Visibility
   • 3.3 Algorithms for Computing Visibility in Static and Dynamic Scenes
   • 3.4 Visibility Graphs and Their Applications
   • 3.5 Visibility Metrics: Coverage, Line of Sight, and Range

4. Modeling Dynamic Environments

   • 4.1 Types of Dynamic Environments (e.g., Moving Objects, Changing Conditions)
   • 4.2 Real-Time Updates and Adaptation in Dynamic Scenarios
   • 4.3 Predictive Models for Environmental Changes
   • 4.4 Interaction Between Sensors and Dynamic Elements
   • 4.5 Dynamic Obstacles and Their Impact on Visibility

5. Sensor Planning Techniques

   • 5.1 Goals and Objectives of Sensor Placement
   • 5.2 Classical Sensor Placement Algorithms
   • 5.3 Multi-Sensor Systems and Fusion Techniques
   • 5.4 Optimization Methods for Sensor Placement
   • 5.5 Dynamic Reconfiguration of Sensors in Response to Environment Changes

6. Integrating Visibility Analysis with Sensor Planning

   • 6.1 Visibility-Aware Sensor Placement Algorithms
   • 6.2 Adaptive Planning for Changing Environments
   • 6.3 Real-Time Sensor Adjustments and Decision-Making
   • 6.4 Handling Uncertainty and Imperfect Sensor Data
   • 6.5 Strategies for Improving Visibility in Dynamic Scenarios

7. Algorithms for Dynamic Visibility and Sensor Planning

   • 7.1 Dynamic Visibility Graph Construction
   • 7.2 Efficient Sensor Re-Positioning in Real-Time
   • 7.3 Optimization for Multi-Objective Sensor Planning
   • 7.4 Handling Time Constraints and Real-Time Computation
   • 7.5 Performance of Algorithms in Large-Scale Environments

8. Experimental Setup and Evaluation

   • 8.1 Simulation Environment and Dataset Description
   • 8.2 Evaluation Metrics: Coverage, Efficiency, and Response Time
   • 8.3 Benchmarking Sensor Planning Algorithms in Dynamic Environments
   • 8.4 Comparison of Proposed Methods with Existing Approaches
   • 8.5 Results from Experiments in Various Real-World Scenarios

9. Results and Discussion

   • 9.1 Visual and Quantitative Results of Sensor Planning
   • 9.2 Impact of Dynamic Changes on Sensor Efficiency
   • 9.3 Comparison of Visibility-Aware Planning vs. Traditional Methods
   • 9.4 Sensitivity Analysis: Effect of Environmental Dynamics
   • 9.5 Discussion on Scalability and Computational Complexity

10. Applications

• 10.1 Autonomous Robotics: Navigation and Surveillance
• 10.2 Environmental Monitoring and Disaster Response
• 10.3 Smart Cities: Surveillance and Infrastructure Monitoring
• 10.4 Industrial Automation and Remote Sensing
• 10.5 Military and Defense: Strategic Sensor Deployment

11. Challenges and Future Directions

    • 11.1 Real-Time Sensor Adaptation in Highly Dynamic Environments
    • 11.2 Robustness to Sensor Failures and Environmental Uncertainty
    • 11.3 Multi-Agent Sensor Planning in Collaborative Systems
    • 11.4 Integration with Machine Learning for Predictive Modeling
    • 11.5 Future Research Directions in Dynamic Visibility and Sensor Planning

12. Conclusion

    • 12.1 Summary of Contributions and Key Findings
    • 12.2 Practical Implications of Visibility-Aware Sensor Planning
    • 12.3 Closing Remarks and Future Work

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