HYPERPROPERTIES-BASED OPTICAL FLOW-BASED AUTONOMOUS DRIVING SYSTEM
DOI:
https://doi.org/10.22159/ajpcr.2017.v10s1.19652Keywords:
Object detection, Multiple object tracking, Optical flow, Object classificationAbstract
This study presents an autonomous driving system based on the principles of trace vectors derived from hyperproperty of a modified optical flow
algorithm. This technique allows keeping track of the past motion vectors by tracking the constraint sets to overcome the non-linear attributes of
the deformable feature points and motion vectors. The results presented in this work exhibits stable tracking and multi-step prediction in a limited
number of steps with less training vectors.
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