Enhancing Odometry Estimation for Mobile Ground Vehicles: Leveraging Wheel Velocity Measurements and the Kalman Filter
Author:
Affiliation:
1. Robótica y Automática
2. Universidad EIA,GIICA,Envigado,Colombia
3. en Ingeniería Para la Innovación,Dept. de Estudios
4. Universidad Iberoamericana,Institute of Applied Research and Technology,Ciudad de México,México
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10333304/10333342/10333445.pdf?arnumber=10333445
Reference13 articles.
1. Evolution of Odometry Calibration Methods for Ground Mobile Robots
2. Developing a real time navigation for the mobile robots at unknown environments
3. Extended Kalman Filter (EKF) Based Localization Algorithms for Mobile Robots Utilizing Vision and Odometry
4. State Estimation and Localization Based on Sensor Fusion for Autonomous Robots in Indoor Environment
5. Extended Kalman Filter Sensor Fusion in Practice for Mobile Robot Localization
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