Radar Vehicle Localization With Map-Constrained Measurements
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Solution Overview
Problem
Conventional radar localization methods suffer from inefficiencies and disadvantages, particularly in accurately determining the location of moving objects in various environments, such as vehicles, for applications like navigation and autonomous driving.
Innovation Solution
A radar localization system using a single radar device makes at least two measurements to derive range and velocity information, combined with map data to determine feasible object locations, and employs interleaved wireless communication and radar sensing to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radar localization methods are used, then the system can perform basic localization, but the accuracy and reliability of determining object locations are insufficient
Solution Approach 1:
The patent segments the localization process into multiple independent measurement steps, where a single radar device performs at least two separate radar measurements to obtain multiple candidate locations. This segmentation allows the system to evaluate and discard infeasible locations individually, thereby improving both measurement precision and reliability without requiring multiple radar devices.
Solution Approach 2:
The patent introduces map data as an additional dimension of information to constrain and validate radar measurement results. By comparing estimated locations against map data (such as road networks and geographic features), the system eliminates impossible locations, thereby enhancing localization accuracy and reliability beyond what conventional radar measurements alone can achieve.
2Measurement precision
If multiple radar devices are deployed to improve localization accuracy, then measurement precision increases, but device complexity and system cost increase
Solution Approach 1:
The patent makes a single radar device perform multiple functions: it conducts at least two separate radar measurements to obtain multiple candidate locations, and the system uses map data validation to achieve what would traditionally require multiple radar devices. This multi-functionality approach maintains localization accuracy while significantly reducing device complexity and system cost.
Solution Approach 2:
The patent introduces map data as an intermediary element that mediates between radar measurements and final location determination. This intermediary provides additional constraints and validation, enabling a single radar device to achieve the localization accuracy that would otherwise require multiple devices, thereby reducing system complexity.
3Speed
If real-time localization is achieved through rapid measurements, then response speed increases, but measurement precision may be compromised
Solution Approach 1:
The patent performs preliminary actions by conducting at least two radar measurements quickly to obtain multiple candidate locations, then uses map data to rapidly eliminate infeasible options. This preliminary multi-measurement approach, combined with fast computational filtering using map data, enables real-time localization response without sacrificing measurement precision.
Solution Approach 2:
The patent implements a feedback mechanism where map data is used to validate and refine the results of rapid radar measurements. The system continuously compares estimated locations against map constraints, providing real-time feedback that maintains measurement precision even when measurements are performed rapidly for real-time response.
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 system provides accurate, real-time localization of moving objects by discarding infeasible locations and projecting trajectories based on map data, improving navigation and autonomous driving capabilities.
Implementation Method 1
radar localization systems and methods that include a single radar localization device that makes at least two radar measurements to determine the location of an object
Implementation Method 2
the first data including a first range and a first Doppler measurement with respect to the object
Data Source
AI summary
Radar localization systems and methods are provided to determine the location of an object. The radar localization systems and methods can determine the location of an object based on data obtained from at least two radar measurements made by the radar localization device. In some embodiments, a radar localization system can be included in a wireless communications system that conducts both wireless communications and radar sensing. Radar localization systems include at least a computing unit that performs a radar localization method. Radar localization methods may use map data in object localization to eliminate non-feasible locations of the object.