NVIDIA DRIVE

Vehicle uses sensor data (cameras, LiDAR, radar) for perception.

NVIDIA DRIVE AGX processes sensor data to create a 3D representation of the environment.

AI models predict the behavior of other vehicles and pedestrians.

Path planning algorithms generate safe and efficient trajectories.

Vehicle control system executes the planned trajectory.

Vehicle uses high-resolution maps and real-time sensor data for localization.

AI models detect and classify various objects (pedestrians, vehicles, traffic lights).

Reasoning-based models anticipate pedestrian behavior and plan accordingly.

Vehicle navigates intersections and manages complex traffic scenarios.

Vehicle avoids obstacles and maintains a safe distance from other road users.

Vehicle identifies available parking spots using sensor data.

Path planning algorithms generate a safe and efficient parking trajectory.

Vehicle precisely maneuvers into the parking spot without human intervention.

Vehicle adjusts its position to ensure proper alignment within the parking spot.

Remote operator monitors the vehicle's sensor data and AI predictions.

In case of uncertainty, the operator can remotely control the vehicle.

Vehicle transmits data to the cloud for analysis and improvement of AI models.

Remote monitoring ensures safe and reliable operation in edge cases.

Vehicle plans the optimal route to the delivery location.

Vehicle navigates to the destination using sensor data and maps.

Vehicle parks safely at the delivery location.

Vehicle notifies the recipient and allows them to retrieve the package.

Vehicle returns to the distribution center.