Optical flow for indoor positioning in Drone Programming - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to initialize the optical flow sensor.

Drone Programming

optical_flow_sensor = OpticalFlowSensor([1])

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Aport=3

Bport=0

Cport=2

Dport=1

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong port number causes the sensor not to initialize.

The optical flow sensor is connected to port 0 for indoor positioning.

2fill in blank

medium

Complete the code to read the optical flow data.

Drone Programming

flow_data = optical_flow_sensor.[1]()

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Aread

Bstart

Cstop

Dreset

Attempts:

3 left

💡 Hint

Common Mistakes

Using start() instead of read() does not return data.

The read() method retrieves the current optical flow data from the sensor.

3fill in blank

hard

Fix the error in the code to calculate displacement from flow data.

Drone Programming

displacement = flow_data.[1] * time_interval

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Aspeed

Bdistance

Cvelocity

Dposition

Attempts:

3 left

💡 Hint

Common Mistakes

Using distance attribute directly causes incorrect calculation.

The velocity attribute gives the flow velocity, which multiplied by time gives displacement.

4fill in blank

hard

Fill both blanks to update the drone's position using optical flow data.

Drone Programming

new_position = (current_position[0] + displacement[1], current_position[1] + displacement[2])

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A[0]

B[1]

C[2]

D[3]

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong indices causes position update errors.

Displacement is a tuple; index 0 is x-axis, index 1 is y-axis displacement.

5fill in blank

hard

Fill all three blanks to filter optical flow data for valid movement detection.

Drone Programming

filtered_flow = {k: v for k, v in flow_data.items() if v[1] [2] and v[3] 0}

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A>

B0

C<

D-1

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong comparison operators or values causes incorrect filtering.

This filters values greater than -1 and less than 0 to detect valid negative movement.