Vehicle Positioning via Lane-Specific Map Matching
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Solution Overview
Problem
Existing methods for determining a motor vehicle's position often lack accuracy, especially at entrance and exit ramps, as they do not account for the specific traffic lane the vehicle is traveling on, leading to ambiguous situations and reduced reliability in navigation.
Innovation Solution
A two-step method that combines satellite-based geographical position determination with digital road map data and traffic lane information, using a traffic lane model to enhance accuracy by differentiating lane markings and changes, and incorporating camera-based data for lane-specific route guidance and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite-based geographical position determination with digital road map data matching is used, then position determination can be provided, but accuracy is insufficient at entrance and exit ramps due to lack of traffic lane information
Solution Approach 1:
The patent segments the road structure into multiple traffic lanes and processes each lane separately. By dividing the road into distinct lane segments and determining the vehicle's position within each lane individually, the system achieves more precise position determination at complex intersections and ramps where multiple lanes converge or diverge.
Solution Approach 2:
The patent adds the traffic lane dimension to the traditional two-dimensional map matching process. By incorporating the third dimension of lane identification alongside longitudinal and lateral position, the system can distinguish between vehicles on different lanes at the same geographical location, significantly improving accuracy at entrance and exit ramps.
2Measurement precision
If traffic lane data and camera-based lane information are integrated into the determining step, then position determination accuracy is improved, but system complexity increases
Solution Approach 1:
The patent merges multiple information sources including satellite-based geographical position data, digital road map data with traffic lane information, and camera-based lane detection data into a unified determining step. This integration allows the system to cross-validate information from different sources and achieve more reliable position determination despite the increased complexity of processing multiple data streams.
Solution Approach 2:
The patent introduces a traffic lane model as an intermediary structure that organizes and standardizes lane information from both digital maps and camera detection. This mediator component facilitates the integration of heterogeneous data sources by providing a common framework for representing and processing lane-level position information.
Data Source
AI summary
A method for position determination for a motor vehicle includes the acts of: satellite based determination of a geographical position of the motor vehicle, providing digital road map data, which include at least information about road segments in the surroundings of the geographical position; carrying out a first determining step for determining at least a first road segment, on which the motor vehicle is located with high probability, wherein the first determining step is based on a matching of the geographical position with the digital road map data; retrieval of traffic lane data, regarding at least the number of traffic lanes for the first road segment, from the road map database; determining the traffic lane, in which the motor vehicle is currently traveling, by use of at least the traffic lane data; and carrying out a second determining step for determining a second road segment, on which the motor vehicle is located with high probability, wherein the second determining step is based on a matching of the geographical position with the digital road map data and at least the traffic lane, in which the vehicle is traveling.