inertial navigation
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Autonomous driving
Autonomous driving
Autonomous driving vehicles use sensors such as inertia, GNSS, lidar, millimeter wave radar, etc. to sense the surrounding environment and its own posture and position, and control the steering and speed of the vehicle based on the sensed road and obstacle information, so that the vehicle can safely and reliably drive on the road or within a specified area (airport, port, park, etc.). Autonomous driving is an intelligent car driving method, which can also be called a mobile robot, which mainly relies on the intelligent driving instrument in the vehicle based on computer systems to achieve unmanned driving.

Accurate positioning: the core advantages of IMU technology

Inertial navigation IMU technology combines sensors such as accelerometers and gyroscopes to realize real-time monitoring of the motion state of an object. This technique can be positioned independently of external signals and is therefore particularly prominent in environments where GPS signals are weak or failed. For example, in complex urban environments or underground tunnels, driverless cars rely on IMU systems to maintain stable and safe driving.
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