This invention discloses an intelligent testing
system for corner sensors based on multi-dimensional
feature fusion, relating to the field of
intelligent sensor testing. It includes a main control computing unit, a
test bench, a multi-channel pulse acquisition module, and a multi-dimensional electrical parameter synchronous sampling module. The main control computing unit outputs global timing control commands and receives fused data streams for analysis. The
test bench responds to the control commands, establishes a mechanical reference, and drives the sensor to rotate and output dynamic electrical signals. Within the same time window, pulse timestamps and transient electrical characteristic parameters are collected, dynamically mapping the
pulse time sequence to an absolute spatial angle sequence. This allows for multi-dimensional determination of the
root cause of
pulse distortion and the sensor's
electrical performance. This invention solves problems such as lost timing correlation, difficulty in fault tracing, and low
automation in traditional testing through
microsecond-level synchronous sampling, spatiotemporal
dynamic mapping algorithms, and multi-dimensional
feature fusion, achieving high-precision, intelligent, and visualized comprehensive testing of corner sensors.