Abstract: Pseudo points offer dimensional alignment between camera and LiDAR data for multi-modal 3D object detection. However, the pseudo points are irregularly and densely distributed, while LiDAR ...

This study devises an innovative LiDAR point cloud down-sampling strategy that capitalizes on the properties of Fuzzy C Means (FCM) clustering membership functions in each dimension. Traditional ...

Abstract: In LiDAR-based 3D object detection, severe occlusion often leads to incomplete object shape in point cloud scene. It is a critical challenge as it will significantly degrade detection ...

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

Add Yahoo as a preferred source to see more of our stories on Google. When you buy through links on our articles, Future and its syndication partners may earn a commission. Illustration shows a disk ...

Cloud-9 is a starless, gas-rich, dark-matter cloud considered a "relic" or remnant of early galaxy formation, NASA said. This discovery marks the first confirmed detection of such an object in the ...

Scientists have uncovered a unique space object located 14 million light-years from Earth that is believed to be a “relic” of early galaxy formation—and, moreover, “the first confirmed detection of ...

3D Point Cloud Image of The of Statue of Liberty With Voyant's Carbon™ LiDAR Sensor in Bright Sunlight. The past decade has seen significant investments in autonomous vehicles and 3D sensing ...

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

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 ...