The invention relates to the technical field of
data recording, in particular to a
data recording system for an automatic driving vehicle, and the
system comprises a multi-source
signal synchronization module, a behavior stage recognition module, a track abnormity
elimination module, a dynamic compression adjustment module and a segmented index marking module. According to the method, a unified
time alignment mechanism is constructed in a
signal synchronization
processing link, a strict corresponding relation between acquisition sequences is ensured, key
time sequence characteristics of driving behavior switching are extracted by adopting a multi-behavior parameter comprehensive judgment method, segmented expression of a complex driving process is realized, and the accuracy of driving behavior switching is improved. According to track anomaly identification, through collaborative screening of inertial data and a positioning track, abnormal fragments which do not conform to physical rules are effectively eliminated,
data compression dynamically sets interval length according to a parameter combined fluctuation trend, the fidelity of a key period is remarkably improved, non-key
data redundancy is inhibited, and after a segmented index structure is established, the
data compression efficiency is improved. And the
data retrieval process is clearer.