Technical Blog
Tag: DRIVE
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Technical Walkthrough
Mar 13, 2023
Detecting Obstacles and Drivable Free Space with RadarNet
Detecting drivable free space is a critical component of advanced driver assistance systems (ADAS) and autonomous vehicle (AV) perception. Obstacle detection is...
6 MIN READ
Technical Walkthrough
Feb 23, 2023
Generating AI-Based Potential Accident Scenarios for Autonomous Vehicles
Autonomous vehicles (AVs) must be able to safely handle any type of traffic scenario that could be encountered in the real world. This includes hazardous...
4 MIN READ
News
Jan 20, 2023
Validating Active Sensors in NVIDIA DRIVE Sim
Autonomous vehicle development is all about scale. Engineers must collect and label massive amounts of data to train self-driving neural networks. This...
2 MIN READ
Technical Walkthrough
Jan 12, 2023
Explainer: What’s the Difference Between Level 2 and Level 5 Autonomy?
To define the path to fully realized autonomy, the Society of Automotive Engineers (better known as SAE International) detailed six categories of...
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News
Jan 10, 2023
Updated Course: Integrating Sensors with NVIDIA DRIVE
Learn how to integrate your sensor of choice for NVIDIA DRIVE. This updated self-paced course now uses DriveWorks 5.8 and includes lidar examples.
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Technical Walkthrough
Jan 09, 2023
Explainer: What Is Edge Computing?
Edge computing is the practice of processing data physically closer to its source.
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