Lidar

Autonomous vehicle (AV) development requires massive amounts of sensor data for perception development. Developers typically get this data from two...

Data labeling and model training are consistently ranked as the most significant challenges teams face when building an AI/ML infrastructure. Both are essential...

Robots are increasing in complexity, with a higher degree of autonomy, a greater number and diversity of sensors, and more sensor fusion-based algorithms....

The 65th annual Daytona 500 will take place on February 19, 2023 and for many this elite NASCAR event is the pinnacle of the car racing world. For now, there...

Accurate, fast object detection is an important task in robotic navigation and collision avoidance. Autonomous agents need a clear map of their surroundings to...

A point cloud is a data set of points in a coordinate system. Points contain a wealth of information, including three-dimensional coordinates X, Y, Z; color;...

With NVIDIA DriveWorks SDK, autonomous vehicles can bring their understanding of the world to a new dimension. The SDK enables autonomous vehicle developers to...

Many Jetson users choose lidars as their major sensors for localization and perception in autonomous solutions. Lidars describe the spatial environment around...

Our radar perception pipeline delivers 360-degree surround perception around the vehicle, using production-grade radar sensors operating at the 77GHz automotive...

The NVIDIA DriveWorks SDK contains a collection of CUDA-based low level point cloud processing modules optimized for NVIDIA DRIVE AGX platforms. The DriveWorks...