What tasks does ML solve in drones and cars?

In drones and cars, machine learning (ML) addresses key tasks related to perception, decision-making, and control:

• Image processing and recognition: ML helps analyze data from cameras, lidars, and radars to detect and classify objects (pedestrians, other vehicles, traffic signs).

• Behavior prediction: Based on historical data, ML models predict the trajectories of other road users.

• Route planning and decision-making: ML is used to select optimal actions in complex traffic situations, considering safety and efficiency.

• Anomaly detection and diagnostics: ML helps identify malfunctions or unusual situations in vehicle operation.

Thus, ML ensures the autonomy, safety, and adaptability of drone and vehicle control systems.