Driving Assistance Longitudinal Control via Lateral Acceleration Prediction
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Solution Overview
Problem
Existing driving assistance systems for vehicles, such as G-Vectoring Control, struggle to maintain safe distance and comfort during cornering, especially when interacting with preceding vehicles, leading to discontinuous longitudinal acceleration changes and driver discomfort.
Innovation Solution
The method involves determining and predicting lateral acceleration and jerk of both the controlled vehicle and preceding vehicles, using curvature information and sensor data to adjust longitudinal acceleration control settings, ensuring smooth acceleration and maintaining a safe distance without requiring active driver intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If longitudinal acceleration control is performed based on lateral acceleration and lateral jerk during cornering, then vehicle handling and cornering behavior are improved, but discontinuous acceleration changes occur causing driver discomfort
Solution Approach 1:
The system performs preliminary action by predicting lateral acceleration and lateral jerk at a preview point ahead of the vehicle using curvature information from map data, allowing the longitudinal acceleration control to anticipate upcoming cornering conditions and adjust smoothly before the vehicle actually enters the curve, preventing discontinuous acceleration changes
Solution Approach 2:
The system implements feedback by continuously monitoring the actual lateral acceleration and lateral jerk of the vehicle, comparing them with predicted values, and adjusting the longitudinal acceleration control in real-time to maintain smooth acceleration transitions during cornering
2Ease of operation
If G-Vectoring Control is used to control longitudinal acceleration based on lateral acceleration, then cornering behavior is improved, but safe distance maintenance to preceding vehicles deteriorates
Solution Approach 1:
The system applies dynamics by making the longitudinal acceleration control adaptable and variable based on real-time conditions. The control parameters are dynamically adjusted according to the predicted lateral acceleration of preceding vehicles (estimated from their curvature and speed) and the controlled vehicle's own lateral acceleration, allowing the system to maintain cornering performance while preventing excessive distance reduction to preceding vehicles
3Stability of the object's composition
If lateral acceleration and lateral jerk are determined and used for longitudinal acceleration control, then vehicle stability is improved, but system complexity increases
Solution Approach 1:
The system uses an intermediary approach by introducing a prediction mechanism that calculates expected lateral acceleration and lateral jerk at a preview point based on curvature information from map data. This intermediary prediction layer simplifies the control logic by providing advance guidance values, reducing the need for complex real-time calculations while maintaining vehicle stability
Data Source
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AI summary
The present invention relates to method and apparatus for performing driving assistance for a controlled vehicle, involving determining a longitudinal acceleration target value on the basis of a lateral acceleration of the controlled vehicle and one or more setting parameters, and controlling a longitudinal acceleration of the controlled vehicle on the basis of the calculated longitudinal acceleration target value. According to the invention, a lateral acceleration acting, during cornering, on a proceeding vehicle, which moves in the longitudinal direction on the road ahead of the controlled vehicle, is estimated, and the one or more setting parameters for the calculation of the longitudinal acceleration target value are set based on the estimated lateral acceleration acting on the proceeding vehicle during cornering.