This application provides a binocular six-axis low-cumulative-error
spatial positioning method and apparatus, applied in the field of positioning and navigation technology. When an anomaly is detected in the
spatial motion correlation between vision and inertial at continuous time intervals, it is determined that the current moment is in a state of
perception history break. The visual
pose constraints at the corresponding moment are isolated from the historical visual constraint set and participate in
pose calculation only in an independent local visual constraint set, thereby avoiding the continuous accumulation of abnormal visual constraints in the time dimension and interference with inertial
pose updates. In the absence of
perception history break, the consistency between the historical visual constraint relationship and the inertial pose change sequence and
spatial motion self-consistency data is reviewed, and inconsistent visual constraint relationships are dynamically eliminated. This allows the effectiveness of visual constraints in pose fusion to be adaptively adjusted over time, suppressing the amplification process of inertial cumulative error and meeting the requirement of maintaining high-precision positioning under complex environments and long-term operating conditions.