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