Extended Kalman filters In c++, Part -1

Until this point(if you have followed previous articles of mine, if not,<a href="https://medium.com/@nikhilbadam56/annotating-lanes-using-computer-vision-techniques-1634afccdc63" rel="noopener"> 1st article</a>, 2nd article(coming up soon!!) ) we have mainly discussed on the topics that are more or less focussed solely on machine learning, Deep learning, Computer vision perception part of building Self Driving Car, these are like eyes of human beings for perception, as we have other senses so as to add more confidence for a perception, like touch, smell, hear, similarly we can augment the sensory part of the robot by adding in electronic sensors like RADAR(radio detection and ranging), LIDAR(light detection and ranging), etc to give a 3D perspective of the world to the bot and this helps in “Localizing” itself in the world. (This idea of adding LIDAR is debatable. Tesla autopilot doesn’t use LIDAR for perception but it does this by using intelligent Neural Network architectures and Computer vision algorithms). <a href="https://medium.com/@nikhilbadam56/extended-kalman-filters-in-c-part-1-84a03cb587bb">Click Here</a>