Bus arrival parking evaluation method based on improved Kalman filtering
A Kalman filter and bus technology, applied in special data processing applications, complex mathematical operations, instruments, etc., can solve problems such as no evaluation system, and achieve the effect of comprehensive test items and accurate and reliable evaluation results.
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[0092] According to the definition of "Vehicle Driving Automation Classification" officially implemented on January 1, 2021, the current self-driving bus (Self-driving bus) is divided into L3 (the system can continuously perform all dynamic driving tasks within its design operating conditions) and Level L4 (the system can continuously perform all dynamic driving tasks and perform dynamic driving task takeover within its design operating conditions); in the driving task of self-driving buses, bus stop (BS, Bus Stop) is applied Typical applications in traffic scenarios. When the self-driving bus is parked at the station, it should meet certain safety regulations when driving to the platform or parking space; after the bus stops completely, it should also meet certain standards. During this process, the driver cannot directly observe, so certain Auxiliary measures to achieve the purpose of assisting the driver to avoid or reduce side collisions and improve the safety of the bus w...
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