Given image, point cloud, and calibration file, the demo file conducts 3D object detection/tracking and saves the results. # 1. 3D object detection demo, results are saved at demo/results folder. # if ...

GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. The developer ...

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping reflections, highlights, and other effects consistent across different viewing angles. Here ...

WEST LAFAYETTE, Ind. — Companies that manufacture autonomous vehicles, industrial robotics, delivery robots and drones may benefit from a patent-pending Purdue University innovation that outperforms ...

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

Imagine snapping a photo of your favorite object, a vintage car, a family heirloom, or even your pet, and instantly transforming it into a lifelike 3D model. Thanks to Meta’s SAM 3D, this futuristic ...

Abstract: Compared to monocular 3D object detection, stereo-based 3D methods offer significantly higher accuracy but still suffer from high computational overhead and latency. The state-of-the-art ...

Abstract: Recently, Bird’s-Eye View (BEV) representation has received increasing attention in multi-view 3D object detection. However, training high-performance camera-based BEV 3D detectors typically ...

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 ...