Difference between revisions of "Projects:2018s1-122 NI Autonomous Robotics Competition"
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the competition in March 2018, with the competition taking place in September 2018. | the competition in March 2018, with the competition taking place in September 2018. | ||
| − | == | + | == Robot Sensors == |
| − | + | The robot uses a variety of sensors so that it may "see" obstacles and boundaries ahead and around the chassis as the track is navigated. | |
| + | [[File:Map.png]] | ||
| + | [[File:MapDimensions.png]] | ||
| − | The Microsoft Xbox 360 Kinect Sensor USB 2.0 camera is an ideal candidate for the robot's vision. This camera produces two types of images: RGB images and depth (range) images. The RGB images consist of three channels: red, green, and blue. The depth images are represented with one channel, with each pixel value representing the distance from the camera to the first obstruction encountered. | + | A camera is used as one of the various sensors for the purpose of determining accurate position and target location estimations. |
| + | |||
| + | === Image Sensor === | ||
| + | The Microsoft Xbox 360 Kinect Sensor USB 2.0 camera is an ideal candidate for the robot's vision because of it's capabilities, availability, and cost. | ||
| + | This camera produces two types of images: RGB images and depth (range) images. The RGB images consist of three channels: red, green, and blue. The depth images are represented with one channel, with each pixel value representing the distance from the camera to the first obstruction encountered. | ||
[[File:Kinect 01.jpg]] | [[File:Kinect 01.jpg]] | ||
| + | [[File:Kinect.png]] | ||
| + | |||
| + | === RGB Image Processing === | ||
| + | The competition requires the robot to use the colour images for the following purposes: | ||
| + | 1. Identify boundaries on the floor that are marked with 50mm wide coloured tape | ||
| + | 2. Identify wall boundaries | ||
| + | 3. Identify | ||
| + | |||
| + | The competition track requires the robot to have the ability to identify boundaries on the floor that are marked with 50mm wide coloured tape. The RGB images. | ||
Revision as of 17:06, 29 August 2018
Contents
Supervisors
Dr Hong Gunn Chew
Dr Braden Phillips
Honours Students
Alexey Havrilenko
Bradley Thompson
Joseph Lawrie
Michael Prendergast
Project Description
Each year, National Instruments (NI) sponsors a competition to showcase the robotics capabilities of students by building autonomous robots using one of their microcontroller and FPGA products. In 2018, the competition focuses on the theme 'Fast Track to the Future' where team robots will perform various tasks on a track that incorporates off-road and slippery terrain, and unforeseen obstacles to be overcome or avoided autonomously. This project investigates the use of the NI MyRIO-1900 FPGA/LabView platform for autonomous vehicles. The group will apply for the competition in March 2018, with the competition taking place in September 2018.
Robot Sensors
The robot uses a variety of sensors so that it may "see" obstacles and boundaries ahead and around the chassis as the track is navigated. File:Map.png File:MapDimensions.png
A camera is used as one of the various sensors for the purpose of determining accurate position and target location estimations.
Image Sensor
The Microsoft Xbox 360 Kinect Sensor USB 2.0 camera is an ideal candidate for the robot's vision because of it's capabilities, availability, and cost. This camera produces two types of images: RGB images and depth (range) images. The RGB images consist of three channels: red, green, and blue. The depth images are represented with one channel, with each pixel value representing the distance from the camera to the first obstruction encountered.
RGB Image Processing
The competition requires the robot to use the colour images for the following purposes: 1. Identify boundaries on the floor that are marked with 50mm wide coloured tape 2. Identify wall boundaries 3. Identify
The competition track requires the robot to have the ability to identify boundaries on the floor that are marked with 50mm wide coloured tape. The RGB images.
