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	<title>WP4-14 - Revision history</title>
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	<updated>2026-04-07T01:16:20Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://c4d.lias-lab.fr/index.php?title=WP4-14&amp;diff=1131&amp;oldid=prev</id>
		<title>Alm: Initial text from early deliverables, will need to be updated to final level.</title>
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		<updated>2023-03-15T09:28:19Z</updated>

		<summary type="html">&lt;p&gt;Initial text from early deliverables, will need to be updated to final level.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;==Map Enhancement==&lt;br /&gt;
{|class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|  ID|| WP4-14&lt;br /&gt;
|-&lt;br /&gt;
|   Contributor	|| ALMENDE&lt;br /&gt;
|-&lt;br /&gt;
|   Levels	|| Platform, Function&lt;br /&gt;
|-&lt;br /&gt;
|   Require	|| &lt;br /&gt;
|-&lt;br /&gt;
|   Provide	|| 2d/3d Map data with added information: quality, heatmaps, semantic information&lt;br /&gt;
|-&lt;br /&gt;
|   Input	|| SLAM output and pre-existing maps&lt;br /&gt;
|-&lt;br /&gt;
|   Output	|| ROS TF/map data, shared among multiple robots&lt;br /&gt;
|-&lt;br /&gt;
|   C4D building block		|| &lt;br /&gt;
|-&lt;br /&gt;
|   TRL		|| 4&lt;br /&gt;
|-&lt;br /&gt;
|   Parent Building block		|| []&lt;br /&gt;
|-&lt;br /&gt;
| Contact || ludo at almende.org&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
==Description==&lt;br /&gt;
&lt;br /&gt;
There are various sources for the creation of information-rich maps/grids, which can be used for SLAM and navigation. This component explicitly focuses on a generic way of providing query-like access to this information, providing temporal, shared situational awareness. This is achieved by leveraging the current map meta-information (timestamps and frame ids), augmented by additional meta-information per map-layer, e.g. trustworthiness, resolution, capture-time-range, etc. Especially additional information on whether the information is based on predictors or real sensors is relevant. Using this extended meta-info, a query service is provided through which map-products can be obtained for usage in navigation and as input for SLAM algorithms. Input map information can come from a variety of sources, including multiple robots, existing 3d &amp;amp; BIM models, hardware-in-the-loop simulation, semantic maps, AI &amp;amp; ML trained models.&lt;br /&gt;
&lt;br /&gt;
==Improvements==&lt;br /&gt;
&lt;br /&gt;
Currently, there are some ROS libraries for map merging, however, there are only a few fully-functional solutions that aim at shared situational awareness at a map level. Furthermore, there are some experiments for an &amp;quot;environment descriptor&amp;quot;, an approach for semantic maps. This component is aiming for a more generic, complete map enhancement service for seamless merging, enhancing, predicting maps, including more semantically rich logic.&lt;br /&gt;
&lt;br /&gt;
==Validation==&lt;/div&gt;</summary>
		<author><name>Alm</name></author>
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