Conversation
Modified black-white gradient to a colorized map. Also changed detection distance. Now when the camera is on, it is clear what the depth of an object is based on the color map.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
4 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
References
https://docs.luxonis.com/en/latest/
Summary
The obstacle avoidance group integrated Raspberry Pi with the RGB-D camera and got some initial obstacle avoidance working.
Description
We used Luxonis' platform and program to interface with the RGB-D camera and modified their demo code to get a simple testable implementation of obstacle avoidance. Specifically, the camera has a critical zone and a sensitive zone for objects. In the critical zone it will print stop and in the sensitive zone it will try to turn away from the object. Video/Photos will be presented at CDR.
Test Plan
The code has been end-to-end tested by deploying it on the RGB-D camera and reviewing the terminal ouput.
Other
Co-authors: Amishi, Gary, Natalie