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 ...

Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...

The automotive industry continues to be a hotbed of innovation, with activity driven by developments in artificial technology and machine learning, and growing importance of technologies such as ...

Cornell researchers can use two inexpensive cameras on either side of the windshield to detect objects with nearly LiDAR’s accuracy and at a fraction of the cost. Currently, the LiDAR implementation ...

Apple researchers are pushing forward with efforts to bring autonomous vehicle systems to public roads, and last week published an academic paper outlining a method of detecting objects in 3D point ...

Hyundai Motor Company and IonQ, a leader in quantum computing, have announced a new project designed to apply quantum machine learning to image classification and 3D object detection for future ...

Github, everyone’s favorite nerdery, added STL object file support – basically a system for uploading and rendering 3D models – in April. Now, however, they’ve improved their service with a system for ...

Unveiled at last year's WWDC conference, ARKit takes aim at Apple's installed iPhone base and enables developers to create augmented reality apps. With ARKit 2.0, Apple said it's improving face ...