HYPERPROPERTIES-BASED OPTICAL FLOW-BASED AUTONOMOUS DRIVING SYSTEM

Authors

  • Ankush Rai School of Computing Science & Engineering, VIT University, Chennai, Tamil Nadu, India
  • Jagadeesh Kanna R School of Computing Science & Engineering, VIT University, Chennai, Tamil Nadu, India

DOI:

https://doi.org/10.22159/ajpcr.2017.v10s1.19652

Keywords:

Object detection, Multiple object tracking, Optical flow, Object classification

Abstract

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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References

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Published

01-04-2017

How to Cite

Rai, A., and J. K. R. “HYPERPROPERTIES-BASED OPTICAL FLOW-BASED AUTONOMOUS DRIVING SYSTEM”. Asian Journal of Pharmaceutical and Clinical Research, vol. 10, no. 13, Apr. 2017, pp. 254-8, doi:10.22159/ajpcr.2017.v10s1.19652.

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