AURlabCVsimulator

This repository is made for testing different computer vision methods by simulating a mission done in Trondheimsfjorden in April 2016

Stereo camera method:

Mono camera methods also called the texture based methods:

Bellow are some examples:

Image with an obstacle

Predicted image with lbp

Display maskedImage image

Display countour center and boundingbox of the predicted obstacle

Unifrom Local Binary Pattern (watch this to understand better):

Name		Name	Last commit message	Last commit date
Latest commit History 90 Commits
docs		docs
images close to transponder		images close to transponder
images_L&R_avoided obstacle first try		images_L&R_avoided obstacle first try
notebooks		notebooks
repeatExperiment		repeatExperiment
transpondertowerIMG		transpondertowerIMG
.gitignore		.gitignore
NemoReef.jpg		NemoReef.jpg
README.md		README.md
ROI_haralick_method.py		ROI_haralick_method.py
ROI_lbp_method.py		ROI_lbp_method.py
colorMethods.py		colorMethods.py
imageTools.py		imageTools.py
importDataset.py		importDataset.py
mkdocs.yml		mkdocs.yml
pathDir.txt		pathDir.txt
profiling.py		profiling.py
raptors.png		raptors.png
reciveUDP.py		reciveUDP.py
simple_lbp_model.py		simple_lbp_model.py
simulation.py		simulation.py
simulation_disparity.py		simulation_disparity.py
simulation_haralick.py		simulation_haralick.py
simulation_lbp.py		simulation_lbp.py
slicSuperpixel_Haralick_method.py		slicSuperpixel_Haralick_method.py
slicSuperpixel_lbp_method.py		slicSuperpixel_lbp_method.py
timeImages_tokt1.txt		timeImages_tokt1.txt
tokt1_R_1037.jpg		tokt1_R_1037.jpg

larssbr/AURlabCVsimulator