Science Daily

Towards more accurate 3D object detection for robots and self-driving cars

Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...
Nature

SV-TransFusion for LiDAR 3D object detection with Sparse Voxel–Query Interaction

LiDAR-based 3D object detection has witnessed significant progress with the introduction of Transformer architectures. Currently, Bird’s-Eye-View (BEV) based methods, such as TransFusion, dominate the ...
Purdue University

Purdue’s AGILE3D stabilizes real-time lidar detection under resource contention

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 ...
Nature

Small Underwater Objects 3D Point Cloud Dataset Using Mechanical Scanning Sonar

Autonomous underwater vehicles and autonomous navigation technologies are key sectors in the marine industry, attracting global attention and significant research and development support from ...
The Next Web

FOMO is a TinyML neural network for real-time object detection

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...