Jerk Model-Based Driver Assistance Regulator
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Solution Overview
Problem
Driver assistance systems often fail to smoothly regulate movement parameters like acceleration, speed, and distance during driving maneuvers, leading to uneven acceleration and discomfort, as they primarily focus on current speed data without considering temporal profiles of other parameters.
Innovation Solution
A method to generate a setpoint signal that guides the vehicle by determining end conditions for movement parameters such as acceleration, speed, distance, and jerk, using sensor data to create continuous time profiles that ensure smooth and jerk-free driving, with a model-based approach to derive all time profiles from a single jerk profile, and adjusting jerk coefficients for unambiguous results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a driver assistance device regulates only a single movement parameter (e.g., speed or acceleration) to a desired value, then the control is simple and direct, but the acceleration becomes uneven and uncomfortable for passengers
Solution Approach 1:
The system pre-calculates complete time profiles for all movement parameters (jerk, acceleration, speed, distance) before executing the driving maneuver. By determining the entire trajectory in advance based on boundary conditions and a jerk model, the system ensures smooth transitions and comfortable acceleration without real-time complex calculations, resolving the contradiction between comfort and control complexity.
2Speed
If a driver assistance device always makes braking maneuvers dependent only on current speed data, then the control is simple and responsive, but the acceleration becomes uneven and jerky
Solution Approach 1:
The system pre-calculates the complete braking trajectory including jerk, acceleration, speed, and distance profiles before executing the maneuver. This allows the braking to be both responsive (meeting speed requirements) and smooth (continuous acceleration profiles), resolving the contradiction between responsiveness and smoothness.
Solution Approach 2:
The system uses sensor data to determine current movement parameters and compares them with the pre-calculated time profiles, adjusting the control signals to maintain smooth acceleration throughout the braking maneuver, ensuring both responsiveness and stability.
3Speed
If multiple controller units operate independently with separate setpoints, then each controller can respond quickly to its specific parameter, but the overall maneuver lacks coordination and produces jerky motion
Solution Approach 1:
The system merges the control of multiple movement parameters by calculating complete time profiles for jerk, acceleration, speed, and distance together as an integrated maneuver. This coordination ensures smooth transitions between parameters while maintaining responsiveness through real-time control signal generation, resolving the contradiction between responsiveness and coordination.
Data Source
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AI summary
The invention relates to a method for providing a setpoint signal (10) for a driver assistance device (3) for guiding a motor vehicle (1) along at least one direction of movement (4) during a driving maneuver (5), wherein for each direction of movement (4) a respective end condition (7) is received for at least one movement parameter (R, A, V, S, T) and current sensor data (9) relating to the at least one movement parameter (R, A, V, S, T) are received and, on the basis of the sensor data (9), respective trend data (16) are determined for each movement parameter (R, A, V, S, T), each describing a temporal progression (17) of the movement parameter (R, A, V, S, T), wherein each progression (17) fulfills the respective end condition (7) and for this purpose the respective trend data (16) are jointly determined on the basis of a model (15) of a temporal progression (17) of a jerk (R) of the motor vehicle (1).and finally, the target value signal (10) is generated based on the determined trend data (16).