Vehicle Path Fusion Control Under Sensor Degradation
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Solution Overview
Problem
Existing vehicle control technologies face challenges in accurately and stably determining driving paths, especially when sensors deteriorate or environmental conditions change, leading to potential risks and function deterioration.
Innovation Solution
A vehicle control method and device that calculates a driving path by fusing multiple estimated paths from various sensors and algorithms, evaluating reliability, detecting defects, and outputting control signals for stable vehicle behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple driving path estimation algorithms are used to improve accuracy, then the reliability of driving path determination is improved, but the device complexity increases
Solution Approach 1:
The system segments the driving path estimation function into multiple independent algorithms (e.g., lane-based estimation, vehicle-based estimation, road boundary-based estimation). Each algorithm operates independently to generate its own driving path, allowing the system to diversify estimation approaches without creating a monolithic complex system. This segmentation enables reliable path determination through multiple perspectives while maintaining modular system architecture.
Solution Approach 2:
The system merges the results from multiple independent driving path estimation algorithms into a single fused driving path. By combining the outputs of different algorithms (lane-based, vehicle-based, road boundary-based estimations) through a fusion process, the system achieves more reliable and accurate driving path determination than any single algorithm could provide alone, while managing complexity through systematic integration.
2Measurement precision
If multiple sensors and algorithms are integrated to enhance driving path accuracy, then the measurement precision is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system implements a feedback mechanism where the fused driving path is compared against the individual driving paths from each estimation algorithm. This feedback loop enables the defect detector to identify inconsistencies or deviations between the fused result and individual estimates, making defect detection systematic and automated rather than requiring complex manual analysis of multiple sensor inputs.
Solution Approach 2:
The fused driving path serves as an intermediary that mediates between multiple individual driving path estimates. By introducing this intermediate representation, the system simplifies the defect detection process - instead of directly comparing multiple complex sensor inputs, the defect detector compares the fused path (which integrates all information) against the individual algorithm outputs, making the detection process more manageable and systematic.
3Reliability
If a fused driving path is produced from multiple algorithms to improve stability, then the reliability is improved, but the computing time increases
Solution Approach 1:
The system performs preliminary actions by having each driving path estimation algorithm independently generate its driving path estimate before the fusion process. This preliminary estimation by multiple algorithms allows the fusion step to work with pre-computed results rather than raw sensor data, significantly reducing the computational burden and time required for the fusion operation while maintaining the stability benefits of multiple algorithm inputs.
Data Source
AI summary
The present embodiments relate to technology for controlling the behavior of a vehicle by producing a vehicle driving path and provide a vehicle control device and method comprising a sensing information receiver receiving sensing information from a sensor configured in a vehicle, a driving path estimator estimating a driving path for each preconfigured driving path estimation algorithm according to each driving path estimation algorithm using the sensing information, a driving path evaluator evaluating a reliability of the driving path for each driving path estimation algorithm, a driving path fuser producing a fused driving path based on the driving path for each driving path estimation algorithm and the reliability information, and a control signal outputter outputting a control signal for controlling a behavior of the vehicle according to the fused driving path.