Driving Maneuver Planning With Motion Feedback Adaptation
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Solution Overview
Problem
Existing vehicle control systems for autonomous or semi-autonomous driving rely solely on theoretical considerations for selecting driving maneuvers, lacking practical feedback which can lead to inefficiencies and suboptimal decision-making.
Innovation Solution
A method that incorporates practical feedback by connecting a driving maneuver planning module with a motion planning module, allowing the latter to evaluate executed maneuvers and adapt decision-making submodules based on evaluation variables, which can include distance, acceleration, and cost values, enabling the use of both theoretical and practical bases for selecting driving maneuvers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driving maneuver selection is based solely on theoretical considerations, then the system structure remains simple, but the accuracy and effectiveness of maneuver selection deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the motion planning module evaluates executed driving maneuvers and transmits evaluation variables back to the driving maneuver planning module. This feedback loop allows the system to learn from practical outcomes and improve future maneuver selections, resolving the contradiction by enhancing accuracy through experience-based adaptation without requiring complete system redesign
Solution Approach 2:
The system performs preliminary evaluation of driving maneuvers by the motion planning module before execution, assessing potential outcomes and transmitting evaluation variables in advance. This preliminary action allows the driving maneuver planning module to select more accurate maneuvers while maintaining manageable complexity through structured pre-evaluation
2Reliability
If practical feedback is incorporated into maneuver selection, then the effectiveness of vehicle control improves, but the complexity of the control system increases
Solution Approach 1:
The motion planning module transmits evaluation variables containing practical feedback about executed maneuvers back to the driving maneuver planning module. This feedback mechanism enhances control effectiveness by enabling continuous improvement of maneuver selection based on real-world performance, while the modular architecture keeps system complexity manageable
Solution Approach 2:
The driving maneuver planning module automatically adapts its decision-making submodules based on received evaluation variables without requiring external intervention. This self-service capability improves reliability through autonomous learning from practical feedback while avoiding the complexity of manual system reconfiguration
3Productivity
If decision-making submodules are adapted based on evaluation variables, then the efficiency of maneuver selection improves, but the computational complexity increases
Solution Approach 1:
The motion planning module performs preliminary evaluation of driving maneuvers and prepares evaluation variables before transmission to the driving maneuver planning module. This preliminary action enables more efficient maneuver selection by providing advance performance indicators, while the structured evaluation process manages computational complexity through systematic assessment
Solution Approach 2:
The system adapts decision-making submodules by adjusting parameters based on received evaluation variables, such as modifying weighting factors or threshold values in the maneuver selection algorithm. This parameter-based adaptation improves efficiency by fine-tuning existing structures rather than requiring complete computational reprocessing
Data Source
AI summary
A method for determining a driving maneuver includes obtaining vehicle parameters (P) from a driving maneuver planning module (22) of the vehicle (10). At least one possible driving maneuver (M) is determined via the driving maneuver planning module (22) based on the vehicle parameters (P) received by means of at least one decision-making submodule of the driving maneuver planning module (22), At least one possible driving maneuver (M) is transmitted to a motion planning module (24) of the vehicle (10). An evaluation variable (B) is obtained from the motion planning module (24) via the driving maneuver planning module (22). The at least one decision-making submodule is adapted based on the evaluation variable (B) obtained. Furthermore, a system for determining a driving maneuver of a vehicle, a vehicle for executing the driving maneuver, a control device for a vehicle and a computer program for executing the method are shown.