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 ...

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 ...

Christopher Hernandez received funding from the National Science Foundation (grant number SPRF 1715009) for the lidar work in Puerto Bello Metzabok. Picture an aircraft streaking across the sky at ...

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

BEVDilation's result on nuScenes compared with other leading methods. All the experiments are evaluated on an NVIDIA A6000 GPU with the same environment. We hope that our BEVDilation can provide a ...

High speed flying drones and helicopters poses a significant flight safety risk due to the potential for collision with power lines and uneven landing grounds. There are few reports on light detection ...

3D LiDAR technology is uncovering the hidden wonders of La Pileta Cave, offering a detailed look at prehistoric art and preserving it for future generations. 3D LiDAR technology is revolutionizing ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

The Maya civilization, long celebrated for its remarkable achievements in architecture, astronomy, and social organization, has now revealed a much larger population than previously thought. A ...