From a76e948cb91ee768c2176af2f1787e965d7afc03 Mon Sep 17 00:00:00 2001 From: 9and3 Date: Thu, 9 Nov 2023 16:56:19 +0100 Subject: [PATCH] WIP: trying new layout x3 --- README.md | 14 ++++---------- 1 file changed, 4 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index bdfdf6d..cfaf164 100644 --- a/README.md +++ b/README.md @@ -17,22 +17,16 @@

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- Augmented interface for woodworking powered by the TSlam's navigation system for subtractive fabrication. + Augmented interface for woodworking powered by the TSlam's navigation system for subtractive fabrication. After the object is mapped, you can move it, cut it, or drill it and the camera will still be able to self-localize.

🪵🌲 `TSlam` is developed at the [**Laboratory for Timber Construction**](https://www.epfl.ch/labs/ibois/)(director: Prof.Yves Weinand), at EPFL, Lausanne, Switzerland. The project is part of the [**Augmented Carpentry Research**](https://www.epfl.ch/labs/ibois/augmented-carpentry/). 🪚🔨 `TSlam` is an open-source **object-centered**, tag-based visual **navigation software for monocular RGB cameras** specifically developed in C++ and for UNIX systems to support a robust and accurate augmented reality pipeline for close-range, noisy, and cluttered fabrication sequences involving **wood-working operations** such as cutting, drilling, sawing and screwing with multiple tools and end-effectors. -

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- After the object is mapped, you can move it, cut it, or drill it and the camera will still be able to self-localize. -

- 🖧 `TSlam` leverages and combines multiple open-source projects ([UcoSLAM](http://www.uco.es/investiga/grupos/ava/node/62), [STag](https://github.com/bbenligiray/stag), [CGAL](https://www.cgal.org/)) to obtain a functional pipeline that can map, 3D reconstruct, and finally provide a robust camera pose stream at fabrication time to overlay an execution model with its digital twin model. 🔖 `TSlam` was under development and testing for more than a year. For more details about the development go in the [Dev Log](./dev_log) @@ -46,14 +40,14 @@ To benchmark the proposed navigation system under real fabrication scenarios, we https://github.com/ibois-epfl/TSlam/assets/50238678/557149ee-6f63-4261-916d-d3cf4825473e -

One of the sub-sequences of the dataset was evaluated with an Optitrack system to obtain ground truth trajectories. In magenta: the ground-truth, in dark cyan: tslam tracking.

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One of the sub-sequences of the dataset was evaluated with an Optitrack system to obtain ground truth trajectories. In magenta: the ground-truth, in dark cyan: tslam tracking.

## Tag stickers

- Example of a stripe as sticker employed in TSlam. Each stripe contains 50 fiducial markers of 20mm width. + Example of a stripe as sticker employed in TSlam. Each stripe contains 50 fiducial markers of 20mm width.

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