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1. Overview
2. Landmark Navigation
- Block Diagram
- Block Diagram
3. Indoor Map Representation
- IndoorGML - Indoor Geographic Markup Language
- Cellular Space Model
- Map generation Tool
- IndoorGML - Indoor Geographic Markup Language
4. Path Planning
- Mobile Platform Model
- Algorithms
- Mobile Platform Model
5. Simulation and Results
- Simulation Using VREP
- Analysis
- Prototype
- Future work
- Simulation Using VREP
References
1. Overview
2. Landmark Navigation
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| Differential Equations | |
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Matrix Form: | |
| Kinematic Constraints |
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Algorithm
| A* Algorithm | Time Enhanced A* Algorithm |
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Prototypes
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Future
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AnalysisAnalysis
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Temporal Analysis
Test 1: Example of an overtaking. Two robots, 1 and 2, follow in the same direction with the same speed. Vehicle 2 overtakes the vehicle 1.Test2: Example of two paths without intersections.
Test3: Example of the intersection of two Robots, followed by the passage and overtake of vehicle 2 by the vehicle 1.
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- Vehicle Crossing
Using A* Using Time Enhanced A*
- The implemented algorithms handles these problems in different ways. The Time enhanced A* Algorithm considers path planning and coordination simultaneously.
- The path of each vehicle is calculated according to the paths of the other vehicles. In this sense, the coordination between robots is ensured.
- The vehicles’ path is restricted to the predefined segments, while the Time enhanced A* gives the vehicle the flexibility to navigate in all free cells.
- Considering that the Time enhanced A* Algorithm includes time and movements of the other vehicles on their paths’ calculation, overtaking is allowed.
- It’s possible to conclude that the Time enhanced A* Algorithm is more flexible in the generation of paths, because the calculated paths can be adjusted according to their cost, obstacles and the other Robot movements
Prototypes
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Future
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References
1 U.S. Government. National Space-Based Positioning, Navigation, and Timing Coordination Office’s GPS information, 2010.
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