[POSTER] Road Maintenance MR System Using LRF and PDR

We have been developing a mixed reality system to support road maintenance using overlaid visual aids. Such a system requires a positioning method that can provide sub-meter accuracy and function even if the appearance of the road surface changes significantly caused by many factors such as construction phase, time and weather. Therefore, we are developing a real-time worker positioning method that can be applied to these situation by integrating laser range finder (LRF) and pedestrian dead-reckoning (PDR) data. In the field, multiple workers move around the workspace. Therefore, it is necessary to determine corresponding pairs of PDR-based and LRF-based trajectories by identifying similar trajectories. In this study, we propose a method to calculate the similarity between trajectories and a procedure to integrate corresponding pairs of trajectories to acquire the position and movement direction of a worker.