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 ...

Self-driving cars need to implement efficient, effective, and accurate detection systems to provide a safe and reliable experience to its users. To this end, an international research team has now ...

Like other recent scholarly articles published by Apple engineers, the latest entry, "VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection" by AI researcher Yin Zhou and machine ...

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 ...

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 ...

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 ...

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 ...