A positioning algorithm that tightly integrates visual,inertial measurement unit(IMU),and wheel speedometer information has been proposed to address the challenges of scale estimation degradation and reduced positioning performance faced by visual inertial positioning systems applied on ground mobile platforms.The results show that the visual inertial navigation positioning algorithm integrating wheel speed factors effectively solves the problem of scale uncertainty and significantly improves the accuracy and robustness of ground mobile platform positioning.
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