Surroundings Detection Using Spectral Reflection Models
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Solution Overview
Problem
Current surroundings detection systems for motor vehicles face challenges in distinguishing between real objects and pseudo objects created by multiple reflections of electromagnetic radiation, leading to inaccurate surroundings perception.
Innovation Solution
A surroundings model module that stores 3D position data and spectral reflection properties of surfaces, allowing for simulation of beam propagation and prediction of pseudo objects, enabling easier filtering out of false reflections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple sensors operating in different electromagnetic spectrum ranges are used to detect surroundings, then the completeness of the detected surroundings image is improved, but the occurrence of pseudo objects from multiple reflections increases
Solution Approach 1:
The system performs preliminary action by storing spectral reflection property data for various surfaces in advance and using this pre-stored data to simulate and predict pseudo objects before final object identification, allowing the evaluation module to filter out reflections more effectively
Solution Approach 2:
The evaluation module acts as an intermediary that receives data from multiple sensors and uses the stored spectral reflection property data to mediate between the raw sensor data and the final object identification, filtering out pseudo objects through comparison with predicted reflection patterns
2Reliability
If spectral reflection property data is stored for various surfaces to enable pseudo object filtering, then the accuracy of object identification is improved, but the device complexity increases
Solution Approach 1:
The stored spectral reflection property data serves multiple functions: it characterizes surface properties, enables simulation of beam propagation, predicts pseudo objects, and facilitates filtering of reflection artifacts, making the data structure multi-functional and reducing the need for separate systems
Solution Approach 2:
The system creates a virtual copy of the surroundings environment by storing spectral reflection property data that replicates the optical characteristics of real surfaces, allowing simulation and prediction of reflection patterns without physically measuring every surface
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
Significantly reduces the likelihood of false interpretations by accurately differentiating between real objects and reflection-related artifacts, enhancing the precision and reliability of surroundings detection.
Implementation Method 1
the radiation emitted or reflected by the objects may be reflected on surfaces of other objects and then pass to the sensor in several ways
Implementation Method 2
sensors, which are sensitive to electromagnetic radiation in different ranges of the electromagnetic spectrum
Data Source
AI summary
A surroundings detection system for motor vehicles, including multiple sensors which are sensitive to electromagnetic radiation in different ranges of the electromagnetic spectrum, and including associated evaluation modules for locating and/or classifying objects present in the surroundings based on the data supplied by the sensors, including a model module in which a surroundings model is stored which, in addition to the 3D position data of the objects, also contains data about the spectral reflection properties of surfaces of the objects, the model module being capable of providing these data to the evaluation modules.