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Analog Devices
Now that the season is over does anyone know if Analog devices will be selling the IMU and if so where we can buy one
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Re: Analog Devices
Please clarify, to which IMU are you referring?
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Re: Analog Devices
the 10 DOF ADI IMU board from analog devices that was in FIRST choice this year. You can see them on here http://www.analog.com/en/landing-pages/001/FIRST.html
I was told that they were not selling them due to some contract with FIRST and would only be available this year in FIRST choice. |
Re: Analog Devices
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I do not know whether they have plans to sell them or not. |
Re: Analog Devices
That is disappointing. Really wish i would have saw them on FIRST choice.
Maybe they will be around next year for testing. Any chance anyone on here has a spare one for sale? |
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Re: Analog Devices
And I know many teams will not use an item if they can get only one. I certainly won't go to competition without a spare.
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https://github.com/juchong/ADIS16448-RoboRIO-Driver |
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First off, thank you for continuing to support this device! We were fortunate enough to receive two of the ADIS16448 boards via FIRST Chiose. Based on this thread we chose to only use the gyro output data and not the Kalman filtered data for our headings. Now that you are updating drivers..... Any chance you will be addressing this issue in Java code? |
Re: Analog Devices
The ADIS16448 retails for $850-$900 in single item quantities depending on where you source it, as far as I can tell. Is this what others see? Very nice that Analog Devices provided it in FIRST Choice this year. Given that there are other IMUs with similar functionality for less cost (AdaFruit breakout for 10-DoF IMU part #1604, at $30 and has the baro, for example ... no affiliation), what is special about the ADIS16448?
The technical specifications are difficult to directly compare, as they are not standardized across companies. Does anyone have the typical gyro drift rate for the ADIS16448? For those teams that used the ADIS16448 this year, what do you think is distinctive about its performance? Did you use a sensor fusion algorithm to improve performance (such as Juan Chong's above, or other)? I found the Bosch BNO055 IMU, which has integrated sensor fusion, to have good performance (no drift, good magnetic disturbance rejection). Cost about $35, or free from Digi-Key using this year's KoP voucher. Is this a higher performing product for the cost, or are there other considerations (output data rate appears a bit faster for the AD device, no baro or flash on BNO005)? Has anyone performed side-to-side comparison between these IMUs? With the navX MXP? |
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For autonomous, the drift is low enough without the filter that you won't have seen an issue. Probably for an entire match as well. The gyro in the ADIS16448 has noise properties of the ADXRS450, which would put it at 25 degrees/hr of drift. Playing with the ADIS16448 properly is on my list of things to do this summer. Juan also recommended looking at the ADIS16460, which looks even more awesome. 6 degrees/hr of drift, and more dynamic range. I've been working through how to get a ground truth measurement (I think I can borrow a pair of GPS units and use those with drtk to get an accurate position) so we can try various algorithms and benchmark performance. The ADIS16448 let us add some pretty cool features this year. We wrote a "down estimator" which estimated the direction of gravity using a gyro and 2 accelerometer axis. We used this in auto mode to detect when we crossed the defenses, and also to compensate our shot angle for the robot not being flat on the ground. |
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Did you make use of the magnetometer? Quote:
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Juan recommended the ADIS16460 as an accurate sensor to be used by an EKF on the roboRIO. |
Re: Analog Devices
Hi everyone! I had an interesting question pop up on GitHub that I thought might be of interest here. I also provide a bit of information on what we achieve with factory calibration and what the differences are between "factory calibration" and "drift calibration".
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As many of you have seen, I've updated the LabVIEW portion of the driver to include offset recording and real-time FIFOs instead of the previous calculation method. This should hopefully improve CPU usage! I'd also like to see whether anyone would be interested in developing a position (displacement) calculation algorithm based around the 448. Please shoot me a PM if anyone is interested! -------------------------------- Quote:
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Our sensors are also highly impervious to shock and vibration. Another often-overlooked parameter is vibration rectification error. Since these sensors will live on robots, this is a very important metric! |
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