A Novel Approach for Safe Zone Drive Space of Autonomous Ground Vehicle (Self Driving Car)

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Abstract

Autonomous or self-driving is one of the important research areas of Artificial Intelligence and Robotics. The current scenario is the most suitable condition for researching autonomous driving for maintaining social distance in public transport like UBER, OLA etc. In this paper we are presenting a novel mathematical [Analytical Geometry] model for safe zone driving space in accordance with lane detection and drivable space. Driving space for autonomous vehicle is an environment of real driving which helps to determine driving decision process. This paper reviews the existing research for more systematic understanding of driving space and formulate a problem that how to reconstruct the driving environment. An analytical geometric model has been proposed to determine the safe zone drive space for self-driving vehicle or Autonomous Vehicle.

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Keywords

Autonomous Driving; Analytical Geometry; Safe Zone Drive Space