Vehicle Navigation Using ADAS Road Markings for Positioning
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Solution Overview
Problem
Conventional navigation systems for vehicles rely on GPS, gyroscopes, and accelerometers, which increase costs and fail to accurately differentiate between stacked parallel roads or determine lane changes without satellite signals.
Innovation Solution
A navigation method using road marking data from Advanced Driver Assistance Systems (ADAS) to determine vehicle position, turning actions, and acceleration forces, eliminating the need for gyroscopes and accelerometers, and generating a map database with image data from ADAS sensors to provide accurate route guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS, gyroscope, and accelerometer are used for navigation, then positioning and turning detection accuracy is improved, but device cost and complexity increase
Solution Approach 1:
The patent extracts and removes the gyroscope and accelerometer from the navigation system, retaining only the GPS receiver. The functionality previously provided by these sensors is replaced by image processing of road markings captured by the camera, thereby simplifying the device while maintaining navigation capabilities
Solution Approach 2:
The patent replaces the mechanical sensing systems (gyroscope and accelerometer) with an optical-based system using a camera to capture road markings. Image processing algorithms then extract turning and positioning information from these visual data, substituting mechanical measurement with optical measurement and computational analysis
2Measurement precision
If gyroscope is used to determine turning actions, then turning detection accuracy is improved, but device cost increases
Solution Approach 1:
The patent uses a camera, which is a relatively inexpensive and commonly available component in modern vehicles, to replace the more expensive gyroscope. The camera captures images that are then processed to determine turning actions, providing a cost-effective alternative to mechanical sensing
Solution Approach 2:
The patent substitutes the mechanical gyroscope with an optical system using a camera to detect road markings. Image processing algorithms analyze the orientation and position of road markings to infer turning actions, replacing mechanical measurement with visual measurement and computational analysis
3Measurement precision
If accelerometer is used to detect acceleration force, then acceleration measurement accuracy is improved, but device cost increases
Solution Approach 1:
The patent uses a camera, which is a relatively inexpensive and commonly available component, to replace the more expensive accelerometer. By analyzing the position and orientation of road markings in captured images, the system infers acceleration and velocity information without requiring a dedicated acceleration sensor
Solution Approach 2:
The patent replaces the mechanical accelerometer with an optical system using a camera. Image processing algorithms extract acceleration information by analyzing changes in the position and orientation of road markings over time, substituting mechanical measurement with visual measurement and computational analysis
4Device complexity
If only satellite signals are used for navigation, then device simplicity is maintained, but ability to differentiate stacked parallel roads and provide navigation in covered facilities is lost
Solution Approach 1:
The patent captures and processes images of road markings in advance to establish reference information about the road environment. This preliminary visual data collection enables the system to differentiate between stacked parallel roads and maintain navigation capability even when satellite signals are unavailable in covered facilities
Solution Approach 2:
The patent introduces road marking images as an intermediary between the GPS receiver and the navigation output. These images serve as a reference that bridges the gap when satellite signals are blocked, allowing the system to determine vehicle position and provide navigation guidance in covered facilities by comparing real-time images with stored reference images
Data Source
AI summary
A method of vehicle navigation guidance includes: receiving at least three satellite positioning data; receiving road marking data from a driver assistance device; calculating a first position of a vehicle according to the at least three satellite positioning data and according to the road marking data; determining a turning action of the vehicle according to the road marking data; determining an acceleration force of the vehicle according to the road marking data; and calculating a second position of the vehicle according to the first position, according to the turning action, and according to the acceleration force.