An AI robot from Germany combines internet knowledge with spatial mapping to find misplaced items like glasses in homes.

Abstract: Cameras and radar sensors are complementary in 3D object detection in that cameras specialize in capturing an object's visual information while radar provides spatial information and ...

High-speed 3D printing has just gotten a lot faster. Researchers from Tsinghua University in China have developed a new high-speed printing technology capable of creating complex millimeter-scale ...

In recent years, 3D printing has advanced rapidly. However, the technology has been trapped in a frustrating tug-of-war. If you wanted something precise, you had to wait hours. If you wanted something ...

Last year, Roblox launched an open source AI model that could generate 3D objects on the platform, helping users quickly design digital items such as furniture, vehicles, and accessories. The company ...

├── configs/ │ └── pointpillars.yaml │ ├── datasets/ │ └── nuscenes_dataset.py │ ├── models/ │ ├── pointpillars.py │ ├── pillar_encoder.py │ └── losses.py │ ├── utils ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...

Computer-aided design (CAD) is the go-to method for designing most of today's physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and refine before sending ...

4D millimeter-wave radar has emerged as a promising sensor for autonomous driving, but effective 3D object detection from both 4D radar and monocular images remains a challenge. Existing fusion ...