Cooperative Lane-Level Vehicle Localization Without HD Maps
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Solution Overview
Problem
Existing automotive satellite geo-location technologies are insufficient for lane-level localization, and high-definition digital road maps are impractical due to lack, high cost, and constant update requirements, posing safety risks in advanced ADAS applications.
Innovation Solution
An automotive cooperative lane-level relative localization system using inter-vehicular communication, where vehicles exchange data on their geographical position and distances from lane lines via V2V messages, enabling precise lane-level localization without digital road maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite geo-location technology is used for vehicle positioning, then coverage area is large, but localization precision is insufficient for lane-level positioning
Solution Approach 1:
The patent combines multiple localization sources (satellite geo-location, cellular tower triangulation, and relative positioning data from other vehicles) into a unified localization system. This merging of multiple data sources allows the system to achieve lane-level precision by cross-referencing and fusing the strengths of each individual source, overcoming the limitations of any single source while maintaining broad coverage.
Solution Approach 2:
The patent introduces an intermediary communication infrastructure that facilitates the exchange of positioning data between vehicles and the localization system. This intermediary layer processes and relays relative positioning information from multiple vehicles, enabling precise lane-level localization without requiring each vehicle to independently process complex localization algorithms.
2Measurement precision
If high-definition digital road maps are used for lane-level localization, then localization precision is improved, but production and updating costs increase significantly
Solution Approach 1:
Instead of using expensive high-definition digital road maps that require sophisticated production and continuous updating, the patent creates a functional copy of lane-level positioning information by aggregating relative positioning data from multiple vehicles. This copied information achieves the same localization precision without the need for costly map production and maintenance infrastructure.
Solution Approach 2:
The localization system performs self-service by automatically generating and updating positioning information through the continuous exchange of data between vehicles. Rather than relying on externally produced and maintained digital maps, the system autonomously creates its own lane-level localization database through collective vehicle observations, eliminating the need for expensive professional map production and updates.
3Measurement precision
If traditional satellite geo-location is used, then system simplicity is maintained, but precision is insufficient for advanced ADAS applications
Solution Approach 1:
The patent segments the localization function into multiple independent components: satellite geo-location for broad positioning, cellular tower triangulation for regional refinement, and inter-vehicle relative positioning for precise lane-level accuracy. Each component handles a specific precision requirement, and the results are combined to achieve overall high precision without over-complicating any single component.
Solution Approach 2:
The patent adds another dimension to the localization approach by incorporating temporal and spatial relationships between multiple vehicles. Instead of relying solely on static satellite positioning, the system uses dynamic relative positioning data that changes over time and space, enabling precise lane-level localization that goes beyond traditional two-dimensional satellite coordinates.
Data Source
AI summary
An automotive electronic system configured for automotive cooperative lane-level relative localization based on inter-vehicular communication of two motor vehicles each equipped with such a system. The system of each vehicle includes: an automotive sensory system including sensors configured to identify a right lane line and a left lane line to delimit a lane of travel for the motor vehicle on a roadway, the sensors further configured to generate an output identifying location of the right lane line and the left lane line; an automotive geo-location system; an automotive communication interface; and automotive electronic storing and processing resources including a storage medium storing instructions that when executed by a processor cause the processor to communicate with the automotive sensory system to receive the output, communicate with the automotive geo-location system to receive the position data, and communicate with the automotive communication interface and to allow the lane-level relative localization.