GitHub

DDet3D: Embracing 3D Object Detector with Diffusion

This is the official PyTorch implementation of the paper DDet3D: Embracing 3D Object Detector with Diffusion, by Gopi Krishna Erabati and Helder Araujo. Existing approaches rely on heuristic or ...
GitHub

[IV 2024] Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection

Official Implementation of "Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection" by Michael Kösel, Marcel Schreiber, Michael Ulrich, Claudius Gläser, and Klaus Dietmayer. data ...
IEEE

Unsupervised 3D Object Segmentation of Point Clouds by Geometry Consistency

Abstract: In this paper, we study the problem of 3D object segmentation from raw point clouds. Unlike existing methods which usually require a large amount of human annotations for full supervision, ...
Forbes

From Research To Deployment: The Scale-Up Of Defense 3D Printing

A Firestorm xCell micro 3D printing factory loading onto a C-130 to print Tempest UAV systems at a U.S. Air Force base. Inside a standard shipping container, a "factory-in-a-box" hums to life. It is ...
IEEE

Toward Unified 3D Object Detection via Algorithm and Data Unification

Abstract: Realizing unified 3D object detection, including both indoor and outdoor scenes, holds great importance in applications like robot navigation. However, involving various scenarios of data to ...