GNSS Lane Mapping for Reliable Vehicle Lane Keeping
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Solution Overview
Problem
Existing driver-assistance systems for keeping a vehicle in a lane rely heavily on camera images of lane markings, which can be unreliable in bad weather or dense traffic, limiting their effectiveness in maintaining lane position.
Innovation Solution
A driver-assistance system that combines a GNSS receiver, a camera, and a control unit to calculate local lane data from camera images and convert it into global lane data, allowing the vehicle to be steered automatically and maintaining lane position even when camera images are poor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If camera images are used for lane detection, then lane keeping control is achieved, but reliability deteriorates in bad weather or dense traffic conditions
Solution Approach 1:
The patent combines multiple sensing systems (camera, GNSS receiver, and other sensors) to create a hybrid lane detection system. The camera captures visual lane markings while the GNSS receiver provides global positioning data, and additional sensors supplement detection in adverse conditions. This merging of systems ensures reliable lane keeping control regardless of weather or traffic conditions.
Solution Approach 2:
The control unit acts as an intermediary that processes and fuses data from multiple sources (camera images, GNSS position data, and other sensor data). It reconciles the information from different sensing systems to determine accurate lane position and guidance, especially when one system performs poorly due to adverse conditions.
2Measurement precision
If camera-based lane detection is used, then lane position is determined, but computational time and resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing data from multiple sensing systems before lane position determination is critically needed. The GNSS receiver continuously tracks position data, and the control unit pre-fuses available sensor data, so that when lane keeping control is required, the computation is already partially complete, reducing real-time computational time.
3Reliability
If multiple sensing systems are combined, then reliability in adverse conditions improves, but device complexity increases
Solution Approach 1:
The control unit is designed as a multi-functional device that handles data acquisition, processing, fusion, and execution for multiple different sensing systems. This universal controller consolidates what would otherwise be separate processing units, reducing overall system complexity while maintaining the benefits of multiple sensors.
Data Source
AI summary
The present disclosure relates to a driver-assistance system comprising a GNSS receiver, a camera and a control unit, wherein the driver-assistance system is configured to calculate respective local lane data for keeping the vehicle in the lane dependent on a respective image of at least the respective segment generated by means of the camera, wherein the respective local lane data specifies a respective course of the lane on the respective segment relative to the vehicle, wherein the driver-assistance system is configured to convert the respective local lane data into respective global lane data dependent on respective GNSS data of the vehicle generated by means of the GNSS receiver when driving on the respective segment and to save the respective global lane data, wherein the respective global lane data specifies the respective course of the lane on the respective segment in global coordinates.