The invention relates to the technical field of intelligent walking assisting equipment, and discloses a blind person intelligent guiding walking assisting method and
system based on
deep learning. The intelligent guiding power-assisted walking method for the blind is applied to guiding power-assisted
electronic equipment, and specifically comprises the following steps: S101, receiving a starting
signal sent by a user terminal, starting a multi-source
sensor array to collect environment data in parallel, executing a Kalman-Transform space-
time alignment algorithm, establishing a multi-
modal data space-time unified coordinate
system, and establishing a multi-
modal data space-time unified coordinate
system; when
gait phase changes are collected and detected, a multi-source
sensor array is activated and dynamically triggered for high-precision scanning, and a
threat evaluation model is generated to calculate an obstacle
collision probability point cloud matrix; and S102,
processing the obstacle
collision probability point cloud matrix through Point VoxelNet to generate a three-dimensional environment skeleton. The cross-
modal attention mechanism of the
millimeter wave radar and the vision improves the rain and
fog weather recognition accuracy, and in addition, the dynamic
threat evaluation module is combined with the double-threshold early warning strategy, so that the collision
false alarm rate is effectively reduced.