Improving the detection of distant 3d objects is an impor-tant yet challenging task. For camera-based 3D perception, the annotation of 3d bounding relies heavily on LiDAR for accurate depth ...

Learn how volumetric 3D printing works, its benefits over traditional methods, and its potential to transform manufacturing.

Now, researchers publishing in ACS Central Science have demonstrated a new resin that simultaneously creates solid objects and dissolvable structural supports, depending on what type of light the ...

In comparison to methods based on stereo cameras and lidar, monocular 3D object detection offers advantages such as a broad detection field and low deployment costs. However, the accuracy of existing ...

This survey reviews advances in 3D object detection approaches for autonomous driving. A brief introduction to 2D object detection is first discussed and drawbacks of the existing methodologies are ...

3D object detection from multi-view images has drawn much attention over the past few years. Existing methods mainly establish 3D representations from multi-view images and adopt a dense detection ...

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 ...

GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

In the rapidly evolving world of technology, artificial intelligence (AI) has been a game-changer, especially in the field of 3D object generation. AI-powered 3D object generators have revolutionized ...