Application of Maximum Likelihood Estimation in GraphSLAM

Likelihood

Feature Measurement Example

Remove Scaling Factors

Log-Likelihood

Optimization

Overview

  • Removing inconsequential constants,
  • Converting the equation from one of likelihood estimation to one of negative log-likelihood estimation, and
  • Calculating the first derivative of the function and setting it equal to zero to find the extrema.

--

--

--

I am an Automated Driving Engineer at Ford who is passionate about making travel safer and easier through the power of AI

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

SQL Tables Explained by Voting in an election

Understanding NLP and Topic Modeling Part 1

What the ‘Data’ Tells Us

What makes an Ultimate Fighter? UFC sports analytics & prediction

15 Best YouTube Channels to Learn Data Science in 2021

Use Pandas to convert timeseries Bitcoin minute data to any timeframe

resampling one minute timescale to larger timescales

Stopping COVID-19 with Misleading Graphs

How to visualize COVID-19 fatalities, The New York Times way

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Shiva Chandrachary

Shiva Chandrachary

I am an Automated Driving Engineer at Ford who is passionate about making travel safer and easier through the power of AI

More from Medium

OpenWhisk Introduction

Utkarsh Shukla openwhisk

Detect Sensitive Data (PII) by Amazon Macie

High-level Data Link Control protocol

How to Run Refinitiv Real-Time SDK C/C++ Warm Standby Examples