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The code base for the RoboNav team's IGVC robot.

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AC: The igvc_gazebo/magnetometer node should be split into a header and cpp file, with the cpp file containing member function implementations as well as the main function, and retain functionality...

level ➤ easy
type ➤ refactor
area ➤ misc
New members 👍🏻

The vision launch file in igvc_perception puts all of its parameters at the global level rather than namespaced within in the node. The parameters should be under the node tag...

type ➤ bug
area ➤ computer vision
type ➤ style
New members 👍🏻

1. Follow the README.md in https://github.com/RoboJackets/igvc-software/pull/710 to recreate the results by Suha 2. Make issues for things that are broken / not working. Ask Suha / the #igvc-software channel about...

area ➤ computer vision
level ➤ medium
type ➤ verification
type ➤ documentation

[cnn.py](https://github.com/RoboJackets/igvc-software/blob/master/igvc_perception/src/cnn/cnn.py) currently has multiple responsibilities. One of those responsibilities is projecting the image onto the ground plane, which shouldn't be in cnn.py AC: ground projection ripped out from cnn.py

area ➤ neural network
level ➤ medium
type ➤ refactor

For getting IOP support with our codebase we need a couple publishers/subscribers to various rostopics to interface with Jaus systems implemented by [iop core](https://github.com/fkie/iop_core) The topics to publish/subscribe to are:...

type ➤ new feature

As opposed to the present state of displaying training logs, it would be useful to implement a TensorBoard visualization for the multiclass segmentation model accessible from GitHub. AC: TensorBoard visualization...

area ➤ neural network

Currently, the multiclass segmentation net only optimizes for the Dice metric. It would be useful if it optimizes or at least also calculates other useful metrics for semantic segmentation like...

area ➤ neural network

A more robust solution compared to the Clustering and RANSAC solution. Basically treat LIDAR data like images and feed it to a neural network. A related paper could be found...

type ➤ new feature
area ➤ computer vision
area ➤ neural network
Epic

Right now we don't have documentation for point-cloud filters, and we should. AC: Point-cloud related files have comments.

type ➤ documentation

AC: Fine tuned TEB parameters.

area ➤ path planning
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