PJ009.2.1: Collect MOVE Vehicle Sensors Data Using VIEW OLED Display

Test 1:

Place the vehicle towards a good blockage (e.g. a box with flat surface, large and high enough), in 3 different distances (near, mid, far), measure the physical distance, compare with the data from ultrasonic

• Real distance

• Sensor value

• Difference

Are you satisfied with the data accuracy vs reality?

Test 2:

Try an irregular shape object, like a coffee mug, test again, find out how accurate the measurement data is

• Real distance

• Difference placement of the object (height, angle, etc.)

• Sensor value

• Difference

How accurate is it for this object now?

Test 3:

Try a random small irregular object, like a marker pen, test again, find out how accurate the measurement data is

• Real distance

• Difference placement of the object (height, angle, etc.)

• Sensor value

• Difference

Can the sensor detect this small object? How accurate about the data for distance vs reality? What needs to be minded for this kind of objects detection by ultrasonic sensor?

Test 1:

Put the vehicle on top of different surfaces (different color or materials), try at least 3 options, observe the real time data, find out the differences.

• White paper

• Black surface, e.g. the laptop 

• Colored surface, table top, or a book, etc.

What kind of surface gives the highest sensor value? The lowest sensor value?

Test 2:

Test on different tapes, find out the sensor values difference on top of the tapes and on the white paper. 

• Black tape

• Blue tape

• Yellow-white tape

Which kind of tape gives the most differences comparing to white paper? Which tape is more suitable to mark a line following map?

Test 3:

Test on the standard TM016: Kitronik :MOVE mat line following and activity map, place the vehicle on top of the line, place the vehicle (accurately it's the sensor board). 

The Left/Right is meant from the vehicle's point of view in forward direction.

• In the middle of the line

• Left deviated from the line

• Right deviated from the line

What is the pattern from the real time data for above situations?