The invention relates to the technical field of robots, and discloses a
robot space positioning and map reconstruction
system based on
binocular vision and inertial navigation, and the
system comprises a binocular
camera module which is used for obtaining a
stereo image of a surrounding environment; and the
inertial measurement unit is used for providing acceleration and
angular velocity information. According to the
robot space positioning and map reconstruction
system based on
binocular vision fused inertial navigation, through fusion of the binocular camera and the IMU, the positioning precision and robustness of the system are improved, the system adopts a
deep learning algorithm and an optimized
feature matching algorithm, the accuracy and reliability of
feature extraction and matching are improved, and the system is suitable for popularization and application. According to the system, the visual feature points and IMU data are combined, high-precision positioning is achieved, meanwhile,
system parameters are adjusted through the
reinforcement learning technology, the intelligence and adaptability of the system are improved, remote transmission and sharing of data are achieved through the
wireless communication module, and the manageability and
maintainability of the system are improved.