Radar Sensor Network Localization for Urban Traffic Control
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Solution Overview
Problem
Current vehicle localization systems, including those based on global navigation satellites and optical systems, face challenges in achieving high precision and reliability, especially in urban areas due to multipath effects and limited accuracy, which is insufficient for advanced autonomous driving applications.
Innovation Solution
A traffic control method utilizing a network of radar sensors, where first radar sensors receive electromagnetic signals from second radar sensors carried by road users, allowing for accurate determination of traffic-relevant parameters like position and speed, with synchronization and discrimination based on unique identification information within the signals, and operation as bistatic or frequency-modulated continuous wave radars for enhanced accuracy and range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS-based localization systems are used, then the system is simple and widely available, but the localization accuracy is insufficient (only a few meters) for autonomous driving requirements
Solution Approach 1:
The patent combines multiple radar sensors from different road users into a coordinated measurement system. The second radar sensor on the ego vehicle and first radar sensors on other road users work together as an integrated localization network, merging their capabilities to achieve high-precision positioning that neither could achieve alone.
Solution Approach 2:
The radar sensors serve multiple functions: they are used for both traffic control (detecting other road users) and precise localization (determining own position). This multi-functionality allows the system to achieve high localization accuracy using existing traffic control infrastructure without adding dedicated localization hardware.
2Reliability
If optical systems (cameras) are used for localization, then detailed images of surroundings can be created, but the systems are affected by weather and lighting conditions
Solution Approach 1:
The patent replaces optical measurement systems (cameras) with radar-based electromagnetic sensing. Radar sensors emit and receive electromagnetic signals that can penetrate through weather conditions like rain, fog, and darkness, providing reliable localization data independent of optical conditions.
3Measurement precision
If more radar sensors are deployed to increase measurement accuracy, then the localization precision improves, but the system complexity and signal discrimination difficulty increase
Solution Approach 1:
The system uses feedback through unique identification signals emitted by each second radar sensor. First radar sensors receive these identification signals along with the electromagnetic signals, enabling automatic discrimination and association of signals with specific road users. This feedback mechanism simplifies the complexity of managing multiple sensors by providing built-in signal identification.
Solution Approach 2:
The unique identification signal acts as an intermediary that facilitates the association between electromagnetic signals and specific road users. Instead of directly processing complex multi-sensor data, the system uses these identification signals as mediators to simplify signal discrimination and source attribution.
4Length of stationary object
If second radar sensors are operated as transmitters to enable bistatic radar functionality, then the range and accuracy are significantly increased, but the energy consumption and system complexity increase
Solution Approach 1:
The second radar sensors on road users serve dual functions: they act as transmitters for bistatic radar measurements (enabling long-range accurate localization) and simultaneously function as traffic control sensors for detecting other road users. This multi-functionality justifies the energy consumption by extracting multiple benefits from the same hardware.
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
The method significantly increases the range and accuracy of localization, reduces failure rates, and is less affected by weather or lighting conditions, providing a cost-effective solution that surpasses existing GPS and ultra-broadband technologies in precision and reliability.
Implementation Method 1
every second radar sensor emits electromagnetic signals and wherein at least signal components of the emitted signals are received by the first radar sensors
Implementation Method 2
A traffic control method utilizing a network of radar sensors, where first radar sensors receive electromagnetic signals from second radar sensors carried by road users
Data Source
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AI summary
The invention relates to a traffic control method in which, along a locality frequented by road users, a plurality of first radar sensors (Rl'-R6') and at least one second radar sensor (RF1) carried at least by some of the road users (F1) are operated, wherein said sensors are operated in such a manner that every other radar sensor emits electromagnetic signals (EW) and wherein, particularly within the frequented locality, at least components (EW'T1-EW'T4) of the emitted signals can be received by the first radar sensors and wherein reception is discriminated by the specific radar sensor in such a manner that each discriminated signal component is used for a determination of parameters relevant to traffic, particularly position and speed, for each road user. The invention further relates to a radar sensor and a radar sensor network (RF1; Rl'-R6') for carrying out the method.