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Re: paper: 987 Kinect Implementation
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As for using RAMDISK, that's not as straightforward as one might think. For one, most default Linux installs take 1Gb-2GB of total disk space, which would then be put into RAM (unsure of this Ubuntu image though). Then, any changes that are made to the O/S or program settings would have to be re-compressed and re-deployed as the O/S image for RAMDISK to open up at runtime. Usually the data directories (such as /home) and in this case FRC-related application directories (such as /opt) are NFS (network file system) mounted and are actually located on another computer -- yet I wouldn't recommend it for a live FRC field environment. Ergo, the data directories would then have to go somewhere -- presumably still on the SD card that's potentially causing the root issue anyways. Interestingly, this type of platform (real-time processing on a dynamic system that has weight/space/power constraints) is perfect for a Net-booted disk-less architecture (assuming you're running with enough memory). It's even better when one considers scaling up to over 30,000 individual sensors. Unfortunately, the network has to be very, very (maybe even another very...) reliable for it to work. |
Re: paper: 987 Kinect Implementation
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We did use the turret very liberally. It could shoot in any direction with equivalent accuracy so the driver often didn't worry about what orientation the robot was in, just get within range and stop. |
Re: paper: 987 Kinect Implementation
Thanks for the read. Some things that I am considering for next year (with the pandaboard):
1. Use Arch linux instead of Ubuntu. It is officially supported for omap chips. Also, you don't need to install any X server, so you get fast boot times (but only command line). Obviosly programming in the command line isn't very fun, so... 2.install cloud9 ide. You can program over the network, so there is no need connect to a pandaboard. well, anyway... just my 2 cents. |
Re: paper: 987 Kinect Implementation
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Re: paper: 987 Kinect Implementation
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Re: paper: 987 Kinect Implementation
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Re: paper: 987 Kinect Implementation
To get an idea what cloud9 can do once you set it up, check this out:
http://youtu.be/z6b4zlh0IrE?t=9m30s |
Re: paper: 987 Kinect Implementation
How hard is it to do the autoaiming? Also, what sensors and calculations do you use for holding a target? I visited the las Vegas competition and I saw you guys aim while hanging and I also heard you can aim while moving. How hard is it to do this and well.... How? They are great features to put in! Anyways, I also wanted to say that I am very impressed with your robot and especially your vision! :cool:
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