For questions related to SLAM (simultaneous localization and mapping) in the context of AI.
Questions tagged [slam]
4 questions
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1 answer
Could a multi-camera SLAM system that is accurate at low driving speeds be equally accurate at high driving speeds?
Could a multi-camera SLAM system for self-driving cars that is accurate to under 10 cm (3.9 in) at parking lot speeds (i.e. very low driving speeds) retain this level of accuracy at high driving speeds (e.g. highway speeds or city driving speeds) if…
T.A. Eady
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Stereo Slam: Why not feature match?
Reading papers on stereo Slam and visual odometry it appears a dense stereo vision algorithm is run first which is then used to calculus depth for trackable features.
Why not directly run the sparse feature detector on each image and match up the…
FourierFlux
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What is the difference between tracking and mapping (TAM) and localization and mapping (LAM)?
In the paper Visual SLAM algorithms: a survey from 2010 to 2016 by Takafumi Taketomi, Hideaki Uchiyama and Sei Ikeda it is mentioned
It should be noted that tracking and mapping (TAM) is used instead of using localization and mapping. TAM was first…
Justaperson
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How to use SLAM on other sensor other than camera?
I have a sensor that reads electromagnetic field strength from each position.
And the field is stable and unique for each position. So the reading is simply a function of the position like this: reading = emf(x,y,z)
The reading consists of 3 numbers…
offchan
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