Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...

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The laser sensors currently used to detect 3D objects in the paths of autonomous cars are bulky, ugly, expensive, energy-inefficient—and highly accurate. These Light Detection and Ranging (LiDAR) ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

Driving at night might be a scary challenge for a new driver, but with hours of practice it soon becomes second nature. For self-driving cars, however, practice may not be enough because the lidar ...

NVIDIA is looking to take the sting out of creating virtual 3D worlds with a new artificial intelligence model. GET3D can generate characters, buildings, vehicles and other types of 3D objects, NVIDIA ...

Ford has made it possible for Maverick owners to use 3D printing to build their own accessories, for the ultimate level of ...

Nvidia Corp. today revealed that it has created a new deep learning application that can take a standard 2D image and transform it into an extremely realistic 3D model, one that can be visualized and ...

Researchers have discovered a simple, cost-effective, and accurate new method for equipping self-driving cars with the tools needed to perceive 3D objects in their path. Researchers have discovered a ...