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

Researchers at Science Tokyo have developed a neural inverse rendering method that accurately reconstructs the three-dimensional (3D) shapes of moving objects using only three standard projection ...

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 ...

Abstract: Recent years have witnessed the remarkable progress of 3D multi-modality object detection methods based on the Bird's-Eye-View (BEV) perspective. However, most of them overlook the ...

a hands-on diy project combining 3d printing, arduino, and python to create an animatronic mouth mechanism that brings motion and expression to robotics #3dprinting #arduino #python #animatronics ...

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. A new type of 3D printer could help households do their part to ...

Abstract: Recent success in 3D object detection have underscored its importance in autonomous driving, particularly through the integration of diverse sensor modalities like RGB images and LiDAR point ...