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In this DRIVE Labs episode, we show how DRIVE IX perceives driver attention, activity, emotion, behavior, posture, speech, gesture and mood. Driver perception is a key aspect of the platform that enables the AV system to ensure a driver is alert and paying attention to the road. It also enables the AI system to perform cockpit functions that are more intuitive and intelligent.

Handling intersections autonomously presents a complex set of challenges for self-driving cars. Earlier in the DRIVE Labs series, we demonstrated how we detect intersections, traffic lights and traffic signs with the WaitNet DNN. And how we classify traffic light state and traffic sign type with the LightNet and SignNet DNNs. In this episode, we go further to show how NVIDIA uses AI to perceive the variety of intersection structures that an autonomous vehicle could encounter on a daily drive.

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This special edition DRIVE Labs episode shows how NVIDIA DRIVE AV Software combines the essential building blocks of perception, localization, and planning/control to drive autonomously on public roads around our headquarters in Santa Clara, Calif.

In the latest edition of NVIDIA DRIVE Dispatch, learn about generating 4D reconstruction from a single drive as well as PredictionNet, a deep neural network (DNN) that can be used for predicting future behavior and trajectories of road agents in autonomous vehicle applications. We also take a look at testing for the New Car Assessment Program (NCAP) with NVIDIA DRIVE Sim.

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