SLAM is a technology that uses sensors to allow objects like vehicles to simultaneously map their environment and locate themselves within it. It utilizes sensors such as LiDAR and cameras to create maps without relying on GPS. LiDAR SLAM is particularly accurate and commonly used for automated driving as LiDAR can measure distance and shape using reflected laser time.

1. Simultaneous Localization and
Mapping[SLAM]
Hook
Do you know that in the U.S. there are taxies
without drivers?
It works automatic.
I looked into automated driving technology.
Key details
SLAM is a technology that uses sensors and
other devices to estimate the self-position of a
moving object and map its environment at the
same time.
SLAM uses sensors such as LiDAR (laser scanner),
cameras, and ToF sensors
LiDAR SLAM is highly accurate and often used in
automated driving.
LiDAR can measure distance and shape based on
the time it takes for the laser to reflect.
More details
SLAM Works : First, get outside conditions from sensors, etc. If the outside situation
obtained is a recorded location, the machine's location estimate by itself. If the outside
situation is an unknown location, a new map is created from the outside situation.
SLAM Features : It can create environmental maps and estimate self-location without
relying on GPS or other satellite systems. This has the advantage of low cost and high
versatility. It can be used in tunnels and buildings where GPS does not reach
Three main types of SLAM: LiDAR SLAM using LiDAR, Visual SLAM using cameras, and
Depth SLAM using ranging information from ToF sensors.
Recently, LiDAR SLAM is often used in automated driving technology. LiDAR is a sensor
that uses an infrared laser. 2D or 3D point cloud data is created by sensing the return of
an emitted infrared laser reflected from an object. Advantages of using LiDAR include
high accuracy, can be used at long distances, and can be used in the dark or in the rain
because it does not use light.
object
sensor