Performance of SLAM Algorithms According to Noise and Reduced Landmark Parameters Ismail Bartal


Creative Commons License

Bartal İ., Özkurt A.

14th INTERNATIONAL CONFERENCE on ELECTRICAL and ELECTRONICS ENGINEERING, Bursa, Türkiye, 30 Kasım - 02 Aralık 2023, ss.1-5

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Bursa
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-5
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

The aim of this study is to test SLAM algorithms in the Webots simulation program and compare the performance results according to several noise levels and landmark conditions. Simulations have carried out using a robot with a differential driving system. The 2D lidar sensor on the robot has used to detect obstacles in the environment. Predetermined landmarks placed in the simulation environment to enable the robot to estimate its position using different SLAM algorithms. The location information obtained with different number of landmarks has compared and the results show that the position estimation error increases when the number of landmarks decreases. Subsequent studies aimed to increase the accuracy of location estimation by creating landmarks using the points obtained from the Lidar sensor