Your codespace will open once ready. There was a problem preparing your codespace, please try again. 2D object detection is of paramount importance in autonomous ...

This project implements object detection using 2D LiDAR data. It processes sensor data and detects obstacles or objects in the environment using advanced algorithms. Processes 2D LiDAR point cloud ...

We conducted a SOTA 2D object detection framework in this challenge,” said the researchers. The process. In a research paper ‘2nd Place Solution for Waymo Open Dataset Challenge — Real-time 2D Object ...

Notably, the overall accuracy for 2D and 3D object detection were an impressive 96% and 97%, respectively. Prof. Jeon emphasizes the potential impact of this enhanced detection capability: ...

The model was first used for 2D object detection and then modified for 3D objects," he elaborates. The team fed the collected RGB images and point cloud data as input to YOLOv3, ...

3D object detection from multi-view images has drawn much attention over the past few years. Existing methods mainly establish 3D representations from multi-view images and adopt a dense detection ...