主催: 一般社団法人 日本機械学会
会議名: ロボティクス・メカトロニクス 講演会2018
開催日: 2018/06/02 - 2018/06/05
In this paper, an indoor acoustic localization method which uses cross-correlation function for evaluating likelihood is proposed. The proposed method utilize acoustic beacons deployed at known locations and an microphone array equipped on a localizing object. At first, cross-correlation functions of the microphone array elements were calculated for each beacon and normalized as probability density function. Secondly, likelihoods of the estimated location candidates were evaluated using the above-mentioned probability density function. Thirdly, the estimated location was calculated as weighted summation of the particles and likelihoods. The experiment was conducted with a mobile robot in indoor environment. The result showed that the proposed method is possible to estimate location at similar accuracy of previous method.