Hybrid Mapping

Hybrid mapping is a technique used in robotics and autonomous vehicle navigation to create maps of the environment by combining information from multiple sources, such as sensors, cameras, lidar, and GPS.

The goal of hybrid mapping is to create accurate and detailed maps that can be used by robots and autonomous vehicles to navigate safely and efficiently in real-world environments. Hybrid mapping combines the strengths of different mapping techniques, such as geometric mapping and probabilistic mapping, to produce high-quality maps that are both precise and robust.

For example, a robot equipped with a camera and a lidar sensor can use geometric mapping to create a 3D model of the environment based on lidar data, while probabilistic mapping can be used to estimate the robot's position and orientation relative to the map using data from the camera and other sensors. By combining these two techniques, the robot can create a highly accurate and detailed map of the environment that can be used for navigation.