Vehicle Positioning via Radar Map Matching
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Solution Overview
Problem
Existing vehicle positioning methods, such as GPS and radar/lidar systems, face challenges in accuracy and reliability, especially in suboptimal weather conditions and enclosed areas, where GPS signals are weak or unavailable, and radar scans produce noise, leading to inaccurate position determination.
Innovation Solution
A method using a radar system that acquires radar scans, matches detection points with a predefined map containing static landmarks, and employs filtering and transformation techniques to determine the vehicle's position, leveraging ground-truth data from a database to enhance accuracy and reliability without relying on GPS signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS is used for vehicle positioning, then position can be determined with fair degree of accuracy, but GPS signal is not always available or too weak in enclosed areas
Solution Approach 1:
The patent introduces map data as an intermediary reference system between the radar detection points and the vehicle position. Instead of directly relying on GPS signals, the system uses radar to detect landmarks and matches them against predefined map elements, creating an indirect positioning path that works in GPS-denied environments.
Solution Approach 2:
The patent replaces the electromagnetic signal-based GPS system with a radar-based optical measurement system. Radar waves are used to detect and measure the geometric relationships between the vehicle and surrounding landmarks, substituting the satellite-based electromagnetic positioning with a local active sensing approach.
2Reliability
If radar scans are used for position determination, then measurement is robust in suboptimal weather conditions, but radar detection points contain noise that corrupts accuracy
Solution Approach 1:
The patent extracts and isolates only those radar detection points that correspond to predefined map elements (landmarks). By filtering the radar point cloud to retain only points that match known landmark positions in the map, the system removes noise and irrelevant detections while preserving the useful positioning information.
Solution Approach 2:
The patent creates a virtual copy of the physical environment through predefined map data that represents landmarks. This digital map serves as a reference model that is matched against actual radar detections, allowing the system to identify and select valid detection points by comparing them against the copied environmental structure.
3Ease of operation
If standard processing of radar detection points is used, then processing is simple, but position determination is not reliable or accurate enough
Solution Approach 1:
The patent performs preliminary organization of map data into predefined elements (landmarks) before the actual positioning process. By pre-structuring the environmental data into identifiable geometric features and storing them in a database, the system prepares the reference information in advance, making the matching process more reliable without adding complexity during real-time operation.
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 improves the accuracy and reliability of vehicle positioning by filtering noise from radar detection points and using ground-truth data from a database, enabling precise location determination even without GPS signals, suitable for autonomous driving applications.
Implementation Method 1
a radar system, wherein the radar system includes at least one radar sensor adapted to receive radar signals emitted from at least one radar emitter of the radar system and reflected in a vicinity of the vehicle towards the radar sensor
Data Source
AI summary
A method is described for determining the position of a vehicle equipped with a radar system that includes at least one radar sensor adapted to receive radar signals emitted from at least one radar emitter of the radar system and reflected the radar sensor. The method comprises: acquiring at least one radar scan comprising a plurality of radar detection points, wherein each radar detection point is evaluated from a radar signal received at the radar sensor and representing a location in the vicinity of the vehicle; determining, from a database, a predefined map, wherein the map comprises at least one element representing a static landmark in the vicinity of the vehicle; matching at least a subset of the plurality of radar detection points of the at least one scan and the at least one element of the map; deter-mining the position of the vehicle based on the matching.