Review Article
Performance Evaluation of Onboard Processing Capability Reduction in Cooperative Vehicles Using 5G and Artificial Intelligence
Table 1
Advantages of using deep neural networks in cooperative navigation.
| Advantage | Explanation |
| Autonomous learning capability | Enables vehicles to learn to navigate in complex environments | Decision-making optimization | Allows optimization of vehicle decisions based on perceived information, improving efficiency and accuracy | Integration of multiple sources of information | Effective integration of information from a variety of sources to improve understanding of the environment | Adaptability to changing environments | Models can adapt to changes in the environment and adjust vehicle behavior in real time | Improved robustness to uncertainty | Enables the creation of behavioral policies that help vehicles make more robust and adaptive decisions in uncertain or noisy environments | Efficiency in state space exploration | Compact and efficient state space representations can be learned, facilitating exploration and learning | Reduction in the need for manual feature engineering | Automatically learn useful features from raw data, thereby avoiding unnecessary manual feature design |
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