CARMA Analytics is a secure, scalable and cloud agnostic data architecture to enable research analysis on big data sets by defining repeatable and scalable processes for ingesting data, creation of a data repository to fuse, process and perform quality assurance.
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Added plots that visualize localization performance #72
This PR adds plots to visualize the standard deviation of our localization estimates, the standard deviation of the particles in our localization particle filters, and velcocity as a function of downtrack distance. The average and maximum standard deviations are also logged to the terminal.
When testing in the PVL and in other environments, establishing benchmarks for localization performance is important to track improvements and define the limitations of the system.
How Has This Been Tested?
Plots were generated using bags from a run in the main Saxton lab and the PVL.
Types of changes
[ ] Defect fix (non-breaking change that fixes an issue)
[x] New feature (non-breaking change that adds functionality)
[ ] Breaking change (fix or feature that cause existing functionality to change)
Checklist:
[ ] I have added any new packages to the sonar-scanner.properties file
[ ] My change requires a change to the documentation.
PR Details
Description
This PR adds plots to visualize the standard deviation of our localization estimates, the standard deviation of the particles in our localization particle filters, and velcocity as a function of downtrack distance. The average and maximum standard deviations are also logged to the terminal.
Related Jira Key
CF-854
Motivation and Context
When testing in the PVL and in other environments, establishing benchmarks for localization performance is important to track improvements and define the limitations of the system.
How Has This Been Tested?
Plots were generated using bags from a run in the main Saxton lab and the PVL.
Types of changes
Checklist: