The invention discloses a multi-source
information fusion-based tunneling equipment vision-assisted
pose detection
system and method, and relates to the technical field of exploration and
engineering surveying, and the
system comprises a
binocular vision module, a strapdown inertial navigation module, a
laser orientation instrument module and a data fusion
processing module. The
binocular vision module solves three-dimensional coordinates through stereoscopic vision; the strapdown inertial navigation module provides high-frequency dynamic attitude data; the
laser orientation instrument modules are triangularly arranged to provide a global absolute position reference; and the data fusion
processing module adopts an extended Kalman filtering dynamic fusion
algorithm and combines dynamic
weight adjustment to fuse multi-
source data. The method comprises the steps of
data acquisition, preprocessing and time-space synchronization, fusion calculation and
pose information output. Through the multi-source collaborative fusion and dynamic environment
adaptation technology, the detection precision and stability are improved, the automatic tracking and remote monitoring requirements of the tunneling equipment are met, and intelligent upgrading of
coal mine tunneling is promoted.