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Cooperative Situation Awareness in Transportation [Taschenbuch]

Matthias Röckl


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Inhaltsverzeichnis

1 Introduction
1.1 Intelligent Transportation Systems
1.2 Cooperative Situation Awareness in Road Transport
1.3 Outline
2 Situation Modelling
2.1 System Design
2.2 Situation Model
2.2.1 State Representation
2.2.2 Coherence Representation
2.2.3 Graphical Notation
2.3 Inference
2.3.1 Prediction
2.3.2 Abduction
2.3.3 Bayes Factor and Weight of Evidence
2.3.4 Inference in probabilistic causal networks
2.4 Comparison to alternative situation models
2.4.1 Formal Logics
2.4.2 Neural Networks
2.4.3 Data Mining
2.5 Concluding remarks and evaluation
3 Forward Integration: From Evidence to Decisions
3.1 System Model
3.2 Temporal Situation Dynamics
3.3 Perception
3.3.1 State Space Dynamics
3.3.2 Single-target Multi-sensor Fusion
3.3.3 Multi-target Multi-sensor Fusion
3.4 Decision-making
3.4.1 Action Decisions
3.4.2 Value Functions
3.4.3 Rational decision-making under uncertainty
3.5 Concluding remarks and evaluation
4 Backward Integration: Decisions for optimized evidence exchange
4.1 Information Dissemination
4.2 Information Gathering
4.3 Information Forwarding
4.4 Concluding remarks and evaluation
5 Cooperative Adaptive Cruise Control
5.1 Objectives and Impact
5.2 Requirements
5.2.1 Functional Requirements
5.2.2 Non-functional Requirements
5.3 Measurement, state transition and decision-making models
5.3.1 Measurement Model
5.3.2 State Transition Models
5.3.3 Decision-making Model
5.4 Prototype Implementation
5.4.1 Particle Filter
5.4.2 CODAR Architecture
5.4.3 CACC System Con
guration
5.5 Concluding remarks and evaluation
6 Evaluation
6.1 Simulation Environment
6.1.1 Sensor Simulation
6.1.2 Scenarios
6.2 Simulation Results
6.2.1 Runtime Performance
6.2.2 Improved Situation Estimation
6.2.3 Improved Decision-making
6.2.4 Improved Communications
7 Conclusion
7.1 Summary
7.2 Outlook
References
Glossary
Index

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