Autonomous Vehicle Trajectory Optimization for Disturbance Minimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing autonomous driving systems fail to minimize stress on vehicles and occupants when encountering obstacles, as they do not effectively evaluate and adjust trajectories to balance various disturbance factors such as vehicle dynamics, wear, fuel consumption, and occupant comfort.
Innovation Solution
A method for determining an alternative trajectory with a minimum disturbance sum, using a control device equipped with sensors and a microprocessor, which calculates and selects a path that optimizes vehicle and occupant comfort by weighting disturbance factors like vehicle dynamics, wear, and fuel consumption, and allows user input to adjust priorities, with the option to output warning signals and adapt to time-critical situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an alternative trajectory is selected to avoid an obstacle, then vehicle safety and occupant protection are improved, but vehicle stress and discomfort for occupants may increase
Solution Approach 1:
The system changes trajectory parameters (position, speed, acceleration) to find an optimal alternative path that avoids obstacles while minimizing vehicle stress and occupant discomfort through weighted evaluation of different disturbance factors
Solution Approach 2:
The trajectory determination is dynamic and adaptive, adjusting the alternative trajectory in real-time based on detected obstacles and evaluating multiple disturbance factors to minimize vehicle stress while maintaining safety
2Ease of operation
If trajectory adjustments are made to minimize vehicle stress, then occupant comfort is improved, but the ability to respond to time-critical obstacles may be reduced
Solution Approach 1:
The system performs partial optimization by focusing on the most critical disturbance factors first, allowing rapid determination of an adequate alternative trajectory that balances comfort and response time without requiring exhaustive evaluation of all possible trajectories
3Manufacturing precision
If multiple disturbance factors are evaluated to determine optimal trajectory, then trajectory optimization is improved, but computational complexity increases
Solution Approach 1:
The disturbance evaluation is segmented into multiple independent disturbance factors (vehicle dynamics, wear, fuel consumption, occupant comfort), each evaluated separately and combined through weighted summation, simplifying the overall computational process while maintaining comprehensive optimization
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The invention relates to a method for determining an alternative trajectory (T1, T2, T3) for an autonomously driving motor vehicle (4). The invention provides that, upon detection (P1) of an obstacle (1) by a vehicle sensor system (5), an alternative trajectory (T1, T2, T3) for the motor vehicle (4) is calculated by a control device (8), which replaces at least a segment of an original trajectory of the motor vehicle (4), such that the trajectory (T1, T2, T3) has a minimum disturbance sum (S1, S2, S3) of at least one disturbance summand (y1-y7), consisting of a respective weighting factor (w1-w7) and a disturbance value (x1-x7).