GPS based Localization for Self-Driving Robots
<p>Localization is simply the ability of a robot to identify its position (more correctly <strong>pose </strong>— three dimensions each, for position and orientation) in a given world. What makes this problem non-trivial is the fact that there are no physical sensors to directly measure and report a robot’s pose. Depending on the application, a range of sensors is utilized to measure and infer the measured data. The closest thing to a sensor reporting robot’s position is a GPS (Global Positioning System) but as we shall see in the following section, a GPS by itself is insufficient for the robot to autonomously navigate. Another major limitation comes when operating in fully or partly indoor environments such as a factory floor, a warehouse, a hotel lobby, or even the sidewalks alongside high-rise buildings. Robotics developers typically utilize a LiDAR or Camera or both to create a <strong>map</strong> of the world and use it as a reference to localize itself. You can read more about the map generation process <a href="https://medium.com/black-coffee-robotics/ros-and-ros2-navigation-stacks-a-performance-review-facb4d6c15a1" rel="noopener">here</a>.</p>
<p><a href="https://medium.com/black-coffee-robotics/gps-based-localization-for-self-driving-robots-ccc562d56202"><strong>Website</strong></a></p>