Motor Vehicle Radar Ego Trajectory Adaptation
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Solution Overview
Problem
Current radar systems in motor vehicles face inefficiencies in operating sensors due to the lack of adaptive parameter adjustment based on the ego trajectory, leading to suboptimal performance and increased computing operations during measurement evaluation.
Innovation Solution
A method and device that ascertain the ego trajectory of a motor vehicle sensor, generating adaptation signals to adjust operating parameters such as evaluation algorithms, aperture length, image size, and measurement characteristics, allowing for efficient operation and real-time processing of sensor signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar measurements are taken at different local positions during ego movement to create a synthetic aperture, then angle measurement precision is improved, but device complexity and computing operations increase
Solution Approach 1:
The patent applies dynamics by making the radar operating parameters adaptive rather than static. The system dynamically adjusts transmission power, bandwidth, and evaluation algorithms based on real-time ego trajectory characteristics (velocity, acceleration, curvature). This allows the synthetic aperture processing to be optimized for current motion conditions, reducing unnecessary computing operations while maintaining angle measurement precision.
Solution Approach 2:
The patent changes operating parameters (transmission power, bandwidth, sampling rate, evaluation algorithm selection) based on the ego trajectory. By adapting these parameters to the current motion state, the system achieves efficient processing - using higher resolution only when needed for sharp maneuvers or close targets, and reducing processing for straight-line constant-velocity travel, thus resolving the contradiction between precision and computing complexity.
2Productivity
If adaptive parameter adjustment based on ego trajectory is implemented, then sensor operation efficiency is improved, but device complexity increases
Solution Approach 1:
The radar system performs self-adaptation by automatically adjusting its own operating parameters based on its measured ego trajectory. The system monitors its own motion state and autonomously optimizes transmission power, bandwidth, and processing algorithms without external intervention. This self-service capability improves efficiency while keeping the control architecture relatively simple.
Solution Approach 2:
The system implements feedback by continuously monitoring ego trajectory parameters (position, velocity, acceleration, curvature) and using this information to adjust operating parameters in real-time. The feedback loop compares current motion state with reference trajectories or performance thresholds, automatically adapting the radar operation to maintain optimal efficiency across varying driving conditions.
Data Source
AI summary
A method for operating a sensor of a motor vehicle. The method includes: ascertaining an ego trajectory of the sensor, generating adaptation signals for adapting at least one operating parameter of the sensor based on the ascertained ego trajectory and outputting the adaptation signals in order to adapt the at least one operating parameter of the sensor based on the adaptation signals. A device, a sensor system, a motor vehicle, a computer program, and a machine-readable memory medium, are also described.