Abstract: This project aims to generate RGBD point clouds from specific objects in unlabeled 2D images using zero-shot, prompt-based methods. By integrating advanced machine learning models for object ...
Abstract: Deploying LiDAR-based detectors on edge devices presents significant challenges due to limited computing power and memory. Post-training quantization (PTQ) requires only a small dataset for ...
This repository is part of a funded research project at Arizona State University focused on indoor object detection to support facility management tasks. The project utilizes 3D point cloud data ...
Abstract: The mobile laser scanning (MLS) technique has attracted considerable attention for providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced point-cloud ...
Voxel is a basic unit in a three-dimensional digital image, similar to a pixel in a two-dimensional image.Voxel data represents the volume element of a small cube in space, and can effectively ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback