SLAM a short for Simultaneous Localization and Mapping. This method is ideal for autonomous vehicles that allow you to develop a map and then localize your car on it simultaneously. The algorithms enable the vehicle so that it can map out environments that are unknown to it. Apart from this, engineers make use of the map information in order to perform different tasks like obstacle avoidance and path planning. Read on to find out more.
Why SLAM Matters
For many years, SLAM has been used to perform technical research. However, since computer processing speed has exponentially increased and low-cost sensors have been made available, SLAM is used for a number of practical applications in different fields.
An example of a SLAM is a robot vacuum. In the absence of SLAM, the robot vacuum will move around randomly. As a result, it won’t be able to clean the entire room. Apart from this, this approach may consume a lot more power and the battery will run out much faster.