INS Error Estimation Based on an ANFIS and Its Application in Complex and Covert Surroundings

Inertial navigation is a crucial part of vehicle systems in complex and covert surroundings. To address the low accuracy inertial multifaced surroundings, this study, we proposed an error estimation based on adaptive neuro fuzzy inference system (ANFIS) which can quickly accurately output position end-to-end. The new was tested using both single-sequence multi-sequence data collected from by KITTI dataset. results were compared with (INS) solution method, artificial neural networks (ANNs) long short-term memory (LSTM) method. Test indicated that accumulative errors single sequence multi-sequences experiments decreased 9.83% 4.14% to 0.45% 0.61% ANFIS, respectively, significantly less than those other three approaches. This result suggests ANFIS considerably improve positioning navigation, has significance for