lvjonok / s23-sensors

S23 Sensors and sensing

This repository contains the code for the S23 Sensors and sensing course at the Innopolis University.

Homeworks:

1. Homework 1 - link

   • Verify the Central Limit Theorem
   • Apply least squares algorithm to identify the parameters of a model

2. Homework 2 - link

   • Kalman filter
   • Estimate distance from GPS and linear accelerometer data

3. Homework 3 - link

   • Use DCT and DFT to filter data
   • Find noise from audio and remove it

4. Homework 4 - link

   • Use Hough transform to estimate line from noisy measurements
   • Identify walls from 2D lidar measurements

5. Homework 5 - link

   • Use RANSAC to estimate line from noisy measurements
   • Apply RANSAC to filter plane and identify object from 3D point cloud