Vehicle Motion Control Using Trajectory Buffering on Curves
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Solution Overview
Problem
Conventional vehicle motion control systems face a reduction in followability to the target trajectory, particularly when navigating curves, leading to shortcut trajectories and increased risk of lane departure, especially at low speeds.
Innovation Solution
The vehicle motion control system employs a trajectory buffer and actuator instruction mechanism that focuses on the closest point to the target vehicle on the accumulated trajectory points, adjusting the vehicle's posture angle and speed to ensure adherence to the target trajectory, even in changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous driving control is implemented using existing technology, then driving automation is achieved, but system reliability deteriorates due to insufficient detection accuracy and inappropriate control during transitions between autonomous and manual modes
Solution Approach 1:
The system continuously monitors the operator's operational state through cameras and sensors, providing real-time feedback to the control unit. This feedback mechanism enables dynamic adjustment of autonomous driving control based on operator condition, ensuring reliable transitions between autonomous and manual modes while maintaining high automation levels.
Solution Approach 2:
The system performs preliminary detection of the operator's operational state before autonomous driving control is fully activated or deactivated. By assessing operator condition in advance through facial recognition and physiological sensors, the system prepares appropriate control strategies, preventing reliability issues during mode transitions.
2Measurement precision
If detailed operator monitoring is implemented to improve safety, then detection accuracy is improved, but device complexity increases due to multiple sensors and processing requirements
Solution Approach 1:
The camera system serves multiple functions: capturing facial images for recognition, detecting eye contact status, monitoring operational state, and assessing operator condition. This multi-functional approach achieves high detection accuracy without proportionally increasing device complexity, as one sensor system performs several monitoring tasks simultaneously.
Solution Approach 2:
The system combines facial recognition technology with operational state detection into a unified monitoring framework. By merging these functions into an integrated system rather than separate components, the patent achieves comprehensive detection accuracy while reducing overall system complexity through shared processing and unified control architecture.
Data Source
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AI summary
The present invention is to provide a vehicle motion control apparatus, a vehicle motion control method, and a vehicle motion control system capable of preventing or cutting down a reduction in followability to a target trajectory. The vehicle motion control apparatus includes a target position accumulation portion configured to receive an input of a target position on a target trajectory of a vehicle on which the vehicle motion control apparatus is mounted and accumulate the target position, and an actuator instruction portion configured to output an instruction for causing the vehicle to follow previous target positions accumulated by the target position accumulation portion to an actuator of the vehicle.