Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with localization
Search options not deleted
user 9585
Localization is the problem of estimating a robot's pose relative to a map of its environment.
3
votes
Linearize a non linear system
The short answer to this question is that linearization won't work, and here's why:
Differential drive robots can be modeled with unicycle dynamics of the form: $$\dot{z}=\left[\begin{matrix}\dot{x}\ …
- 926
1
vote
Using robotic simulator for prediction step in probabilistic localization approaches
In the probabilistic approaches that you mentioned, specifically Monte Carlo Localization (MCL), the prediction step is made based on state (pose) information and measurements. …
- 926
3
votes
Accepted
Localising a robot placed at an unknown position in a known environment
There are many localization techniques, and each has its pros/cons; I have used Particle Filtering for a very similar localization task. … The algorithm presented by Thrun is Monte Carlo Localization (MCL). …
- 926