Radar Intersection Collision Prediction System (R-ICPS)

TO DO

Focus on MATLAB stuff in the 'advanced' directory of traingle FMCW DSP
Add waterfall and other plot from pulse mean canceller and compare pre and post calibration
finish up results, then either neaten or add to design and lit review
Check with supervisors etc
Rather have slightly more words than just on the verge of enough

[ ] Add all work to report - remember to use issues and discussions from old repo
[X] Improve bin method by restricting 'search' area for triangle modulation/ I.e. based on fbd, where can we expect fbu?
[X] Improve Python OS CFAR
[X] Test full Python realtime version on PC and RPI
[X] Integrate Pi camera and show real time plots of spectra, results, and video (similar to MATLAB offline processing)
[X] Modify real time Python program to work with two uRADs
[X] Modify dual radar Python program to incorporate two cameras. Pi can support one Pi cam and one USB camera
[ ] Consider a Pi network - control and sensor nodes
[ ] Create condensed Python program (no GUI) as required by the prototype
[ ] Test system - both GUI and no GUI - on road side
[ ] Install system on car and test in controlled and (or) road environments
[ ] Neaten simulations and present in report
[ ] clean up/neaten repository

add data and library folders to MATLAB path after clone not needed if addpath() is called in each script
Data collection/radar programs are in data/urad_usb
make sure textfiles/data is never committed - deletion will not remove data from version history and so increase repo size
in the event a repo gets too large, use filter-repo (3rd party program) to filter *.txt etc and push to a new repo
USB for linux found using lsusb. Currently using ACM0. Device is infineon technologies