NVIDIA DRIVE Labs

Inside look at autonomous vehicle software

The DRIVE Labs video series takes an engineering-focused look at a range of self-driving challenges, from perceiving paths to handling intersections. These short clips illustrate how the NVIDIA DRIVE™ AV Software team is creating safe and robust self-driving systems.

ClearSightNet Deep Neural Network

ClearSightNet DNN is trained to evaluate cameras’ ability to see clearly and determine causes of occlusions, blockages and reductions in visibility.

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WaitNet Deep Neural Network

Learn how the WaitNet DNN is able to detect intersections without using a map.

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Path Perception Ensemble

This trio of DNNs builds and evaluates confidence for center path and lane line predictions, as well as lane changes/splits/merges.

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Predicting the Future with RNNs

Autonomous vehicles must use computational methods and sensor data, such as a sequence of images, to figure out how an object is moving in time.

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