No 26 (2021)

Autonomous Vehicle Using Simultaneous Localization and Mapping

Authors: Maninder Bir Singh Gulshan, Manasvi Grover, Priyansha Chichra, Rajiv Sharma

Abstract: 

Building a map and localization of mobile robots is an elementary and key complication in research on robotics. This paper is a thorough implementation of PyRobotics algorithms for simultaneous localization and mapping (SLAM) robots under numerous geographical surroundings. The basic idea and attributes of SLAM, along with the features and categorization of map representation without any human interference locating itself based on probability theory using PyRobotics algorithm, are analyzed in the paper.  This paper provides the recent development, features, implementation, recent issues and algorithms of SLAM. Finally, these PyRobotics algorithms are implemented on the Hardware Setup using Python Integrated Development and Learning Environment (IDLE) and Robot Operating System (ROS) - kinetic.

Keywords: SLAM, PyRobotics, LiDAR, KF, EKF, orchestrating.

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