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A Layered Architecture Human-Machine Co-Driving System Based on Driver State

A driver-state, layered-architecture technology applied in steering mechanisms, vehicle components, transportation, and packaging to address issues such as not considering driver effects

Active Publication Date: 2021-07-23
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Chinese patent CN106347449A discloses a human-machine co-driving electric power steering system and a mode switching method. A rear torque / rotation angle sensor is installed on the existing electric power steering system to detect and calculate the safety of the yaw rate at the current vehicle speed. value, controls the operation of the drive motor, and realizes the conversion between the human driving mode and the machine driving mode, but only involves the steering in an ideal situation, without considering the impact of the driver's behavior

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  • A Layered Architecture Human-Machine Co-Driving System Based on Driver State
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  • A Layered Architecture Human-Machine Co-Driving System Based on Driver State

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Embodiment Construction

[0092] Below according to accompanying drawing and specific embodiment, the present invention is described in further detail

[0093] Such as figure 1 As shown, the human-machine co-driving system based on the layered architecture of the driver state of the present invention includes a vehicle driving state collection system, a personnel information collection system, an auxiliary driving system, and a human-machine co-driving stability judgment and coordination system;

[0094] Vehicle driving state acquisition system, which is used to collect vehicle speed, vehicle front wheel angle, steering shaft load and tire pressure of the steering system, vehicle lateral acceleration, longitudinal acceleration, and vertical acceleration and yaw rate of the car and child seats and roll angle; the personnel information collection system, which is used to collect the driver's steering wheel input torque, the driver's steering wheel input rotation angle and the driver's facial expression; ...

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Abstract

The invention discloses a human-machine co-driving system with a layered architecture based on the driver's state, which belongs to the field of intelligent car decision-making, and compares the input torque of the driver's steering wheel with the dynamic threshold calculated by the auxiliary driving system, and passes the Collect the vehicle speed, steering wheel input angular acceleration and driver's facial expression ratio to further perceive the driver's driving state, assign driving rights accordingly, issue an alarm, and finally use fuzzy control to control the front wheel angle until the human-machine co-driving system reaches balance. The system can also adjust the proportion of driving rights of the assisted driving system according to the state of the child in the car, and control the car to drive safely under the condition that the child in the car is acceptable.

Description

technical field [0001] The invention belongs to the field of smart car decision-making, and in particular relates to a driver-state-based human-machine co-driving system with layered architecture. Background technique [0002] A smart car is an advanced driving system that integrates surrounding environment perception, driver operation perception, intelligent decision-making and many other technologies. In recent years, the rapid development of artificial intelligence technology, storage technology and network technology has also led smart cars to a higher level. Smart cars will replace human drivers to perform more basic driving operations and more complex operations. According to the regulations of the National Highway Traffic Safety Administration (NHTSA) and the Society of Automotive Engineers (SAE), the automatic driving system is divided into six levels from L0 to L5, from fully manual driving at L0 to fully automatic driving at L5. However, due to ethical issues and ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B62D15/02
CPCB62D15/029
Inventor 郑宏宇常宇鹏蒋权周健
Owner JILIN UNIV
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