Implementing EKF is a standard homework or project assignment. Please
don't ask for this kind of code on the mailing list (ask via private
email if you have a legitimate request).
- rtv
On Fri, Aug 5, 2011 at 1:10 PM, LuizP <
lmp1612@...> wrote:
>
> Sebastian
>
> if you could send me your code as well.. i'm currently trying to use a
> kalman filter data for a robot localization.
>
> my email adress is
luizmario1612@...
>
> thank you.
>
>
> Aslund wrote:
>>
>> Hello Hunter Allen
>>
>> A guy named Rudy Negenborn have made an excellent master thesis covering
>> robot localization and kalman filtering:
http://www.negenborn.net/kal_loc/>>
>> Depending on your time at hand, then creating a Kalman filter from scratch
>> is an excellent way of getting a deep understanding of the math and
>> consideration regarding Kalman filtering. If you really want some code,
>> then
>> I have created and implemented an Extended Kalman filter during my
>> bachelor,
>> which have proven to be very accurate and robust I can share my code with
>> you.
>>
>> Regards
>>
>> Sebastian Aslund
>>
>>
>> On 3 August 2011 17:34, Hunter Allen <
hunterallen40@...> wrote:
>>
>>>
>>> Hello everyone,
>>>
>>> I am trying to write a kalman filter driver. The driver will take the
>>> data
>>> from any combination of gps, imu, and odometry and return a position2d
>>> proxy. The biggest issue I am having here is that I don't know how to
>>> create
>>> a kalman filter... Does anyone have any code for me? I mainly need help
>>> with
>>> the math. I want to eventually add mapping functionality to this driver,
>>> but
>>> for now I want to just stick with the kalman filter. Any help would be
>>> great. As I stated, it is mainly the math I need help with.
>>>
>>> Thanks,
>>> -Hunter A.
>>> --
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>>>
>>>
>>>
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> --
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>
>
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