Summary Chiel van der Laan

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The problem of mapping can be solved by constructing a 2D scan with a LIDAR system from a 3D environment. [1] After which it the localization can be done in the 2D mapped environment for lower processing power.[2] An example of the visual validation of localization can be seen in figure 1. The LIDAR system for the mapping and localization has to be able to scan a large area at once and has to be high on top of the mobility scooter because of this.
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The problem of mapping can be solved by constructing a 2D scan with a LIDAR system from a 3D environment. [https://pdfs.semanticscholar.org/175b/c509a79996af94b4702704fa2964d37c9a09.pdf <nowiki>[1]</nowiki>][1] After which it the localization can be done in the 2D mapped environment for lower processing power.[2] An example of the visual validation of localization can be seen in figure 1. The LIDAR system for the mapping and localization has to be able to scan a large area at once and has to be high on top of the mobility scooter because of this.
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[http://www.example.com (1)]
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[[File:Mobility scooter.png]]
[[File:Mobility scooter.png]]

Revision as of 13:40, 18 February 2018

The problem of mapping can be solved by constructing a 2D scan with a LIDAR system from a 3D environment. [1][1] After which it the localization can be done in the 2D mapped environment for lower processing power.[2] An example of the visual validation of localization can be seen in figure 1. The LIDAR system for the mapping and localization has to be able to scan a large area at once and has to be high on top of the mobility scooter because of this.


File:Mobility scooter.png

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