Research on State Estimation of Outdoor Mobile Robot Based on Multiple Sensor Combination
Hailu Cui, Xinjian Fan, Yanqiang Li · 2021
Multi-sensor information fusion technology is the core technology to achieve accurate and reliable vehicle positioning. For the selection of sensor types and quantities, this article proposes a variety of combinations. Through the extended Kalman filter algorithm, many experiments were carried out to analyze different results and their reasons, and obtain the state estimation effect of different sensor combinations in outdoor situations. This test provides a certain test result reference for future outdoor automatic driving technology.