Enhance AI car's decision-making process

[Konseptt]

Enhance the sensors_system and car_nn_controlled_system functions in src/car.rs and add new functions in src/nn.rs to incorporate data fusion, machine learning, and reinforcement learning techniques.

• src/car.rs

  • Enhance the sensors_system function to use data fusion techniques for combining data from multiple sensors.
  • Implement machine learning models to analyze sensor data and predict potential obstacles or hazards in real-time within the sensors_system function.
  • Add functions fuse_sensor_data and predict_obstacles for data fusion and obstacle prediction.

• src/nn.rs

  • Add functions for data fusion techniques to combine data from multiple sensors.
  • Implement machine learning models for real-time analysis of sensor data and prediction of potential obstacles or hazards.
  • Integrate reinforcement learning algorithms for training the AI to find optimal paths based on past experiences and feedback.

• Cargo.toml

  • Add dependencies for machine learning and reinforcement learning libraries: ndarray, ndarray-rand, ndarray-npy, ndarray-linalg, serde, serde_json, and ron.

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