• CH.VARUN
• K. RAMA KRISHNA
• SPV SUBBA RAO

A novel method is proposed for reducing the errors in distance measuring sensors namely Radar and Lidar is proposed to accurately detect the relative distance of any Autonomous vehicle in a surface movement scenario. Sensor distance outputs are proposed to be taken with appropriate signal conditioning to be given as input to the well known Kalman filter and an appropriate program is proposed to be written in either Python or Mathematica on a Linux Operating system. The required hardware will also be taken from the market and suitable protocols are proposed to be adopted. For the above purpose a Literature survey is carried out to understand the situation in current surface movement scenario. Survey is carried out on eight papers keeping in view error correction, spatial kriging, kalman filtering, AWGN, ADS-B, BCM2837R.

Radar Sensor, Kalman filter, Mathematica, Linux

"ERROR CORRECTION OF SENSORS USING KALMAN FILTER FOR AUTONOMOUS VEHICLE MOVEMENT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.159-160, February-2019, Available :http://www.jetir.org/papers/JETIR1902326.pdf

"ERROR CORRECTION OF SENSORS USING KALMAN FILTER FOR AUTONOMOUS VEHICLE MOVEMENT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp159-160, February-2019, Available at : http://www.jetir.org/papers/JETIR1902326.pdf