Now generate a map using the raw and analyzed data from the dark environment. Mini-Challenge: Dark Environment Map
Procedure:
1. Gather Your Materials:
Access the raw and analyzed data from the investigation, focusing on the LIDAR readings, depth maps, and object recognition results.
Obtain a piece of graph paper to create your map.
2. Review the Data:
Go through the LIDAR data to understand the distances of objects from the Jetbot.
Examine the depth maps for spatial arrangement and depth perception of various objects.
Look at the object recognition results to identify the types of objects detected in the robot's environment.
3.Draw the Map:
Start by marking the position of the Jetbot in the center of your graph paper. Represent the path that the robot took with an arrow.
Using the LIDAR readings, plot the distances of objects on the graph paper. You can represent objects as simple shapes or symbols.
Refer to the depth maps and object recognition data to add layers to your map. Indicate the approximate size and type of each object based on this data.
Use different colors or annotations to represent various depths and types of objects.
4. Label Your Map:
Clearly label each object with its identified type (if known) and its estimated distance from the Jetbot.
If depth information is available, include this to give a sense of how far or near each object is in relation to others.
5. Capture and Submit Your Map:
Once your map is complete, take a clear picture of it.
Upload your picture to the CS-STEM Network.
6. Mapping Guidelines:
Be as accurate as possible with distances and object placements based on the data.
Use the graph lines to maintain scale and proportion in your map.
Graph Paper
Download and print this graph paper to draw your map.
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