The test turned out to be quite successful, with following speeds of 1.5m/s achieved under autonomous control provided by an on-board Raspberry Pi 3. This is significantly faster than the winning UAV in MAAXX Europe this year, which is quite pleasing!
The YouTube video shows both on-board and off-board camera footage, the former demonstrating the roaming regions of interest used by OpenCV to maintain a lock under varying lighting conditions.
Whilst the test was successful, there remain significant barriers to the higher-speed, lower level flight that I want to achieve.
- Currently, altitude sensing is by barometer only, the accuracy of which is clearly limiting at low altitudes. I’m going to introduce a sonar in the first instance to give programmatic altitude control, adjustable in-flight by a pot on the transmitter.
- Surface reflection ‘white-out’ of the line. These cause the range at which the line can be reliably spotted to be considerably reduced. A higher speeds, a forward looking camera is essential, however this also means the higher angles of incident light make it prone to surface reflection from the line which cause it to appear white. There are a number of physical and programmatic changes that can be made to take account of this.
- Manoeuvrability. At 3Kg, the Groundhog only turns so fast. If the line curves faster than it can turn, the lock is lost. Again, several solutions here, but the Groundhog is not just following a line, it is plotting it out in NED space. This means it should be able to learn where the line should be. I think that’s enough of a clue…