With up to six fingers that can bend in multiple directions, the innovative tool could one day be used to carry out tasks in ...
The DIKUQ project has developed a semi-automated process chain for forming steel sheets for shipbuilding. Fraunhofer IOF ...
Abstract: 3D object detection from LiDAR data for autonomous driving has been making remarkable strides in recent years. Among the state-of-the-art methodologies, encoding point clouds into a bird's ...
IIIF provides researchers rich metadata and media viewing options for comparison of works across cultural heritage collections. Visit the IIIF page to learn more. This wooden model of a rectangular ...
How KISTERS 3DViewStation supports the digital thread – cost-conscious, time-saving, and flexible SAN ANTONIO, TX, UNITED STATES, January 6, 2026 /EINPresswire.com/ — Manufacturing companies are under ...
This is the official PyTorch implementation of the paper DDet3D: Embracing 3D Object Detector with Diffusion, by Gopi Krishna Erabati and Helder Araujo. Existing approaches rely on heuristic or ...
3D point cloud object tracking (3D PCOT) plays a vital role in applications such as autonomous driving and robotics. Adversarial attacks offer a promising approach to enhance the robustness and ...
├── configs/ │ └── pointpillars.yaml │ ├── datasets/ │ └── nuscenes_dataset.py │ ├── models/ │ ├── pointpillars.py │ ├── pillar_encoder.py │ └── losses.py │ ├── utils ...
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