Vehicle Sensor Data Compensation Using Predicted Motion Data
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Solution Overview
Problem
Delays in sensor signal transmission due to complex wiring systems and time-filtered signals lead to inaccurate correlation of environment sensor data with vehicle data, resulting in delayed or imprecise environmental detection and calibration of environment sensors.
Innovation Solution
A method that processes measurement data from environment sensors by receiving and predicting vehicle data based on driving planning data, allowing for more reliable detection and calibration by considering predicted vehicle movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If time-filtered signals are used to reduce noise, then signal quality is improved, but response time deteriorates causing delays in environmental detection
Solution Approach 1:
The system performs preliminary actions by predicting future vehicle data based on driving planning data before the actual measurement time. This allows the environment sensor data to be processed with compensated vehicle data that corresponds to the correct time point, eliminating the need for excessive time filtering while maintaining accuracy.
Solution Approach 2:
A computing device acts as an intermediary between the environment sensors and the driver assistance systems. It receives driving planning data, predicts vehicle data, compensates environment sensor data using these predictions, and provides corrected data to downstream systems, thereby resolving the timing mismatch without sacrificing signal quality.
2Adaptability or versatility
If complex wiring system architectures are implemented to support more driver assistance systems, then system functionality is improved, but signal transmission delay increases
Solution Approach 1:
The computing device serves as a centralized intermediary that consolidates data processing functions. Instead of multiple distributed processing units causing sequential delays, a single computing device receives data from environment sensors, performs predictions and compensations, and outputs corrected data, thereby reducing overall transmission delay while maintaining system versatility.
3Productivity
If delayed vehicle data are used for environment sensor calibration, then calibration process can continue, but calibration accuracy deteriorates
Solution Approach 1:
The system performs preliminary action by predicting vehicle data at future time points based on driving planning data. During calibration, this allows the use of accurate predicted vehicle data corresponding to the calibration time point rather than delayed historical data, maintaining both calibration continuity and high accuracy.
Solution Approach 2:
The system changes the temporal parameter of vehicle data by using predicted future values instead of delayed past values. This parameter transformation ensures that calibration processes always use vehicle data that corresponds to the actual measurement time, maintaining calibration accuracy while enabling continuous operation.
Data Source
AI summary
A method for processing measurement data from an environment sensor of a vehicle. Measurement data that describes an environment of the vehicle is received from the environment sensor, and driving planning data that describes a future movement of the vehicle during semiautomated operation is also received. Vehicle data describing a position and/or movement of the vehicle is determined, and the measurement data is processed based on the vehicle data. Vehicle data is also predicted for at least one point in time during the future movement of the vehicle based on the vehicle planning data, and the measurement data for the at least one point in time is processed based on the predicted vehicle data.