Summary Chiel van der Laan
From Control Systems Technology Group
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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. | + | 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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[[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.
