Human ingenuity is a remarkable thing, but occasionally, it takes a wrong turn into a cul-de-sac of absolute absurdity. We often see people facing a simple, everyday problem and deciding that the most ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

It wasn’t all that long ago when using a lidar sensor on a UAV was little more than theory, something that might be shown in some demos but was not really common practice. Over the last decade, though ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

The construction industry is embracing transformation through the integration of digitization, artificial intelligence (AI), and immersive technologies. On a construction site, continuous assessment ...

(FOX40.COM) — The California Natural Resources Agency, working with state and federal partners, has launched the state’s first-ever LiDAR mapping data platform. CNRA is using LiDAR-equipped airplanes ...

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

Abstract: Marine object detection plays a crucial role in various applications such as collision avoidance and autonomous navigation in maritime environments. While most existing datasets focus on 2D ...