title: Amazon Deepracer: Sensors and Parameters
body: <p>I'm having a difficult time understanding sensors and parameters in Deepracer. It talks about adding optional sensors (like cameras and LIDAR) - and OTOH there are all sorts of parameters I can use (compass heading, wheel angle, distance from centerline, etc).</p>
  
  <p>I just doing model training - is there a correlation to sensors vs parameters? Like - I can only get distance-to-objects if I have LIDAR, or track-width if I have camera, etc?</p>
  
  <p>If not - why would I even want any of these sensors? How would they be used? How would it get this other data without these sensors? </p>
  
  <p>Or is it case where a car always HAS access to all of these parameters, regardless of the sensors equipped (I don't know how that would work) - but adding sensors just make it more accurate - only with a real-world car??</p>