Sensor Parameter Adjustment for Environmental Noise Adaptation
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Solution Overview
Problem
Existing sensors in driver assistance systems face challenges in accurately detecting objects in varying environmental conditions due to noise interference and dynamic environmental influences, leading to false object detection or failure to detect real objects.
Innovation Solution
A method that utilizes an environment map with memory-based measurement data to adjust sensor parameters such as threshold values and transmission power based on current measurement data, allowing for dynamic adaptation to environmental conditions and improving measurement quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor parameters are adjusted dynamically to adapt to environmental conditions, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic adjustment of sensor parameters (transmission power, threshold values) based on real-time environmental conditions detected by the sensor. The control unit continuously monitors measurement data and modifies operating parameters to optimize detection performance under varying conditions such as temperature, humidity, and background noise levels.
Solution Approach 2:
The system employs feedback mechanisms where measurement data from the sensor is fed back to the control unit, which then adjusts sensor parameters accordingly. The control unit compares current measurements with expected values and modifies transmission power or threshold characteristics to maintain optimal detection accuracy despite environmental variations.
2Reliability
If threshold values are increased to filter out noise, then reliability is improved, but measurement precision deteriorates due to failure to detect weak signals
Solution Approach 1:
The patent dynamically adjusts threshold values based on detected environmental noise levels rather than using fixed thresholds. The control unit monitors background noise and adapts the threshold characteristic curve in real-time, lowering thresholds when noise is low to detect weak signals and raising them when noise is high to maintain reliability.
Solution Approach 2:
The system changes the threshold parameter dynamically according to environmental conditions. The control unit modifies threshold values and threshold characteristic curves based on the detected noise situation, allowing the system to maintain both reliability and precision by adapting the threshold level to current measurement conditions.
3Measurement precision
If transmission power is increased to detect distant objects, then measurement range is improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of transmission power based on detected environmental conditions and target scenarios. The control unit monitors measurement data and adjusts transmission power in real-time, increasing power when distant objects need to be detected and reducing power when environmental conditions already provide sufficient signal strength.
Solution Approach 2:
The system changes the transmission power parameter dynamically according to the detected situation. The control unit modifies transmission power levels based on environmental factors such as temperature, humidity, and background noise, as well as the detected target scenario, optimizing the balance between detection range and energy consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy and reliability of sensor data by continuously updating the environment map with current measurements, enabling better detection of objects and reducing sensor malfunctions, thus improving the overall performance of driver assistance systems.
Implementation Method 1
distance sensors that measure the distance to objects in the surroundings of the vehicle based on a pulse-echo method. A transmission signal is sent out and reflected by an object within a measurement cycle. The echo signal reaches a detection device, where the distance to the object is determined from the time interval between the transmission of the transmission signal and the reception of the echo signal.
Implementation Method 2
Such measurement data is additionally overlaid with noise. To correct the measurements, threshold value characteristics are specified that are above the noise level to be expected.
Data Source
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AI summary
A method for the operation of a sensor (14) for recognition of the environment in a driving assistance system (12) of a vehicle (10) is proposed, comprising the following steps: a. preparation of an environment map (42) comprising memory-based measurement data; b. detection of current measurement data (44) of the sensor (14) based on the current environment; c. generation of a control signal (46) based on the current measurement data and the corresponding memory-based measurement data; d. adaptation of at least one parameter (48) of the sensor (14) based on the generated control signal. In addition, a driving assistance system and a computer program product for implementation of the process is proposed. (Figure 2)