The Design of Simultaneous Location and Mapping System for Intelligent Vehicle in Indoor Environment

Abstract

A design of simultaneous location and mapping system for intelligent vehicles was proposed. The paper put forward a new algorithm digitalizing motion state which can achieve the automatic navigation and location of the vehicle. Convert the coordinate systems of distance-detecting module with ultrasonic sensors and odometer positioning module to the global coordinate system so as to determine the robot’s global coordinate position and the barrier’s distribution in the environment. The motion environment was represented as a 2-D grid map. The simulation in Visual Studio software can verify that the design is available to establish the simultaneous location and mapping of indoor environment and the algorithm is reliable. The innovation point is that simultaneous location and mapping is achieved by coordinate conversion in the algorithm instead of the complex computing.