paper-with-me

홈 › Papers

A robot-assisted pipeline to rapidly scan 1.7 million historical aerial photographs

2025-03-31 · Sheila Masson, Alan Potts, Allan Williams, Steve Berggreen, Kevin McLaren, Sam Martin, Eugenio Noda, Nicklas Nordfors, Nic Ruecroft, Hannah Druckenmiller, Solomon Hsiang, Andreas Madestam, Anna Tompsett

During the 20th Century, aerial surveys captured hundreds of millions of high-resolution photographs of the earth's surface. These images, the precursors to modern satellite imagery, represent an extraordinary visual record of the environmental and social upheavals of the 20th Century. However, most of these images currently languish in physical archives where retrieval is difficult and costly. Digitization could revolutionize access, but manual scanning is slow and expensive. Here, we describe and validate a novel robot-assisted pipeline that increases worker productivity in scanning 30-fold, applied at scale to digitize an archive of 1.7 million historical aerial photographs from 65 countries.

📄 PDF Abstract BibTeX arXiv:2503.24063

Code (0)

등록된 구현이 없습니다.

Tasks

Retrieval

Similar Papers 제목 키워드 기반

RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots

2024-02-26 · Benjamin Alt, Florian Stöckl, Silvan Müller, Christopher Braun 외

Surface treatment tasks such as grinding, sanding or polishing are a vital step of the value chain in many industries, but are notoriously challenging to automate. We present RoboGrind, an integrated system for the intui…

Industrial Robots

Collaborative Robotic Ultrasound Tissue Scanning for Surgical Resection Guidance in Neurosurgery

2023-01-19 · Alistair Weld, Michael Dyck, Julian Klodmann, Giulio Anichini 외

The aim of this paper is to introduce a robotic platform for autonomous iUS tissue scanning to optimise intraoperative diagnosis and improve surgical resection during robot-assisted operations. To guide anatomy specific …

Anatomy

Multi-modal segmentation of 3D brain scans using neural networks

2020-08-11 · Jonathan Zopes, Moritz Platscher, Silvio Paganucci, Christian Federau

Purpose: To implement a brain segmentation pipeline based on convolutional neural networks, which rapidly segments 3D volumes into 27 anatomical structures. To provide an extensive, comparative study of segmentation perf…

Brain SegmentationComputed Tomography (CT)Segmentation

Omni-Scan: Creating Visually-Accurate Digital Twin Object Models Using a Bimanual Robot with Handover and Gaussian Splat Merging

2025-08-01 · Tianshuang Qiu, Zehan Ma, Karim El-Refai, Hiya Shah 외 arxiv

3D Gaussian Splats (3DGSs) are 3D object models derived from multi-view images. Such "digital twins" are useful for simulations, virtual reality, marketing, robot policy fine-tuning, and part inspection. 3D object scanni…

TeliNet: Classifying CT scan images for COVID-19 diagnosis

2021-07-10 · Mohammad Nayeem Teli

COVID-19 has led to hundreds of millions of cases and millions of deaths worldwide since its onset. The fight against this pandemic is on-going on multiple fronts. While vaccinations are picking up speed, there are still…

COVID-19 Diagnosis