Optimization of Intelligent Connected Automobile Positioning Algorithm Calculation
Intelligent connected automobiles require continuous and reliable positioning information to achieve autonomous driving.Multi-sensor fusion positioning technology is an essential solution for intelligent connected automobiles.In multi-sensor fusion systems,inertial measurement units are essential sensors.However,the mechanical arrangement of inertial navigation requires a large amount of computation,and the real-time positioning efficiency is relatively low.Actually,the inertial navigation algorithm does not require compensation for rotation and paddle effects during speed updates.From the actual test results,it can be seen that omitting two high-order compensation terms not only does not affect its positioning effect,but also reduces the computational complexity of the positioning algorithm,thereby meeting the low latency requirements of intelligent connected automobile autonomous driving.
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