Recent Updates

  • Updated on: Dec 31, 2013

    Verifying SmartDashboard is working

  • Updated on: Dec 31, 2013

    LabVIEW Code

    The previous articles detailed the theoretical approach to identifying the Vision Targets on the 2014 FRC Field. This article details the implementation in the LabVIEW code that matches this theoretical approach.

  • Updated on: Dec 31, 2013

    C++/Java Code

    The Identifying the Targets section explains a theoretical approach to locating the Vision Targets on the 2014 FRC Field. This document will cover the details of C++ and Java examples which implement this theoretical approach. Note that in addition to the typical differences between the C++ and Java WPILib code, there are also a few additional differences prompted by the way the NIVision functions are accessed from the Java code. Through the syntax may differ slightly the general approaches are similar enough that this document will walk through the C++ code which should provide sufficient insight into the function for both C++ and Java teams.

  • Updated on: Dec 31, 2013

    Calibration

    While many of the numbers for the Vision Processing code can be determined theoretically, there are a few parameters that are typically best to measure empirically then enter back into the code (a process typically known as calibration). This article will show how to perform calibration for the Color (masking), and View Angle (distance) using the NI Vision Assistant. If you are using C++ or Java and have not yet installed the NI Vision Assistant, see the article Installing NI Vision Assistant.

  • Updated on: Dec 31, 2013

    Identifying and Processing the Targets

    Once an image is captured, the next step is to identify Vision Target(s) in the image. This document will walk through one approach to identifying the 2014 targets and distinguishing between targets for Hot and not Hot goals. Note that the images used in this section were taken with the camera intentionally set to underexpose the images, producing very dark images with the exception of the lit targets, see the section on Camera Settings for details.

  • Updated on: Dec 30, 2013

    Setting SFX to Launch with the DS

    The C++ and Java Dashboard buttons in the Driver Station link to the previously existing SmartDashboard for the 2014 season. This article details how to set up the DS to launch SFX instead.

  • Updated on: Dec 30, 2013

    FRC Driver Station LabVIEW Dashboard

    The Dashboard application installed and launched by the FRC Driver Station is a LabVIEW program designed to provide teams with basic feedback from their robot, with the ability to expand and customize the information to suit their needs. The 2014 Dashboard includes a new record and playback feature allowing you to record video and dashboard data while operating your robot and play it back onto the dashboard later for debugging.

  • Due to timing constraints the copy of Wind River Workbench included on Classmate Images was activated using the 2013 license. This license will expire on January 31st, 2014. This article details how to activate the software using the 2014 license from the disc provided in your Kit of Parts.

  • Updated on: Dec 12, 2013

    Joysticks

    The standard input device supported by the WPI Robotics Library is a USB joystick or gamepad. The Logitech Attack 3 joystick provided in the KOP from 2009-2012 comes equipped with eleven digital input buttons and three analog axes, and interfaces with the robot through the Joystick class. The Joystick class itself supports five analog and twelve digital inputs which allows for joysticks with more capabilities such as the Logitech Extreme 3D Pro included in the 2013 KOP which has 4 analog axes and 12 buttons. Note that the rest of this article exclusively uses the term joystick but can also be referring to a HID compliant USB gamepad.

  • Updated on: Dec 11, 2013

    Camera Settings

    It is very difficult to achieve good image processing results without good images. With a light mounted near the camera lens, you should be able to use the provided examples, the dashboard or SmartDashboard, NI Vision Assistant or a web browser to view camera images and experiment with camera settings.