Vehicle Cooperative Positioning Error Compensation
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Solution Overview
Problem
Conventional vehicle cooperative positioning techniques suffer from significant accuracy errors due to error accumulation when sharing positioning information among vehicles, leading to reduced sensing range and increased risk of collisions, especially in environments with blind spots.
Innovation Solution
A method for optimizing vehicle cooperative object positioning that involves receiving and processing information packages from neighbor vehicles, performing time delay compensation, and executing an optimizing procedure to compare and combine vehicle and object coordinates using reference positions and weights to enhance accuracy, thereby reducing error accumulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If positioning information is shared among multiple vehicles to extend sensing range, then the sensing range is improved, but positioning accuracy deteriorates due to error accumulation
Solution Approach 1:
The patent introduces a coordinate transformation mechanism as an intermediary that converts relative positioning data from multiple vehicles into a unified global coordinate system. This mediator (coordinate transformation) eliminates error accumulation by establishing a common reference frame, allowing the system to maintain high positioning accuracy while benefiting from the extended sensing range of multiple vehicles.
Solution Approach 2:
The patent transforms the parameter representation of positioning data by converting from local relative coordinates to global absolute coordinates. This parameter change (coordinate system transformation) resolves the error accumulation problem while preserving the extended spatial coverage, enabling accurate positioning across the expanded sensing range.
2Area of stationary object
If positioning information is shared multiple times among vehicles, then the sensing range is further extended, but positioning accuracy deteriorates significantly due to cumulative errors
Solution Approach 1:
The patent implements a global coordinate system transformation as a mediating layer between multiple information sharing iterations. This intermediary mechanism ensures that each vehicle's data is consistently referenced to the same global frame, preventing error accumulation even after multiple sharing cycles and maintaining positioning accuracy across extended sensing ranges.
Solution Approach 2:
The patent performs coordinate transformation preliminarily by establishing a global reference frame before multiple information sharing operations occur. This preliminary action (pre-establishing the global coordinate system) prevents error propagation in subsequent sharing iterations, allowing the system to extend sensing range multiple times without significant accuracy degradation.
3Device complexity
If conventional sensors are used in vehicles, then the device complexity is low, but blind spots exist in environmental awareness
Solution Approach 1:
The patent merges sensing data from multiple vehicles into a unified environmental model through coordinate transformation. By combining information from neighboring vehicles while maintaining a simple sensor configuration in each vehicle, the system eliminates blind spots without increasing individual device complexity, achieving comprehensive environmental awareness through data fusion.
Solution Approach 2:
The patent enables each vehicle's simple sensors to serve multiple functions: not only detecting local environment but also contributing to and benefiting from a collective multi-vehicle sensing network. This multi-functionality allows each vehicle to maintain low device complexity while the system as a whole achieves complete environmental coverage without blind spots.
Data Source
AI summary
A vehicle cooperative object positioning optimization method includes steps of: receiving an information package by the local vehicle and the information package having a vehicle original coordinate and at least one object original coordinate provided by a neighbor vehicle; performing a time delay compensation for the vehicle original coordinate and the object original coordinate to acquire a vehicle coordinate and an object coordinate of the neighbor vehicle respectively; performing an optimizing procedure to optimize the vehicle coordinate and the object coordinate respectively so as to obtain the vehicle optimized coordinate and the object optimized coordinate. Therefore, the vehicle optimized coordinate and the object optimized coordinate possess higher accuracy than the original coordinate information detected by the GPS receiver and other sensors. And that helps to determine a distribution of the environmental objects with improved precision and to enhance driving safety.