Abstract: As the existing indoor localization algorithm based on dead reckoning has the disadvantages of high cumulative error and low localization accuracy,an indoor localization approach based on map information and particle filter with position adaptive correction was proposed in this paper.The approach uses the known map information to control the birth and death of the particles during the localization process,and adaptively adjusts the positions of the compensating particles in the resampling stage according to the situation of particle degeneracy,thereby correcting the object position.The experimental results show that the proposed approach overcomes the shortcoming of cumulative error of dead re-ckoning algorithm and improves the localization accuracy.

Key words: Indoor localization,Dead reckoning,Particle filter,Map information