The application of data fusion in optical theodolite coordinate measurement system

There will be many stations in Optical Theodolite Coordinate Measurement System (OTCMS) to measure different part of the object; data from each station must be fused together. Traditionally, the data will be transformed to a global coordinate system and combined directly, therefore errors may be brought in and redundant information may exist. In order to reduce the errors and integrate the redundant data, a fusion algorithm based on multi-sensor system is discussed and a distributed multi-sensor data fusion model based on Kalman filtering is developed. Experimental results indicate that the method produces precise estimation.