SLAM (Simultaneous Localization And Mapping) is a key algorithm for autonomous systems, allowing the autonomous vehicle to know accurately at any given time its position. Eatronians have developed a novel V-Slam (Visual Slam): merging the information from 4 cameras&IMU&GPS the algorithm creates in real time a 3D map of the environment and uses it to estimate the vehicle position with accuracy. The algorithm was developed using SIMStar (https://lnkd.in/dSfDUVf) virtual development environment successfully to minimize the number of iterations and need for vehicle testing. Below video shows the vehicle performance of the V-SLAM in real-life as being tested by Eatronians.