Vehicle Sensor Configuration Using Digital Maps for Traffic Sign Detection
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Solution Overview
Problem
Existing driver-assistance systems and intelligent vehicles face challenges in accurately recognizing traffic elements, such as speed limit signs, due to low-definition sensing data from remote sensors, which affects decision-making and vehicle control.
Innovation Solution
A method and system that configure sensors on moving objects, like vehicles, by using localization and characteristic information from digital maps to enhance the resolution and clarity of sensing data, specifically by adjusting the orientation and scanning parameters of sensors like laser scanners and cameras to focus on and zoom in on relevant road elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If remote sensors are used to detect traffic elements from a distance, then the sensing range is extended, but the definition and clarity of the detected information deteriorates
Solution Approach 1:
The sensor configuration is dynamically adjusted based on the distance to the target element. The system continuously updates sensor parameters such as orientation, scanning resolution, and focal length according to real-time localization data, enabling the sensor to adapt its configuration for optimal detection at varying distances
Solution Approach 2:
The system changes sensor parameters including scanning resolution, focal length, and orientation angle based on the distance to the target element. When an element is detected at a greater distance, the system increases the scanning resolution and adjusts focal length to compensate for the reduced definition, thereby maintaining measurement precision across different sensing ranges
2Measurement precision
If sensor scanning resolution is increased to improve detection accuracy, then the measurement precision improves, but the data processing time and system complexity increases
Solution Approach 1:
Instead of uniformly increasing scanning resolution across the entire field of view, the system applies high scanning resolution only to specific regions containing target elements. The sensor configuration is adjusted to concentrate scanning resources on areas where traffic elements are located, while reducing resolution in irrelevant areas, thereby maintaining detection accuracy without proportionally increasing system complexity
Solution Approach 2:
The system performs preliminary identification of target elements using initial low-resolution scanning or pattern recognition. Once potential traffic elements are identified, the system then activates high-resolution scanning only for those specific regions, avoiding the need to process high-resolution data from the entire field of view and reducing overall data processing complexity
Data Source
AI summary
A method for configuring a sensor, which is adapted to be installed on a moving object, includes obtaining localization information of the sensor from a localization device, obtaining characteristic information and localization information of at least one element from a digital map, and choosing one or more elements of the at least one element in the digital map. The method also includes configuring the sensor according to the characteristic information and/or the localization information of the one or more chosen elements.