Lane Determination Arbitration for Vehicle Lateral Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle vision systems face challenges in accurately determining traffic lane information when multiple sensors, such as front camera modules and e-Horizon modules, provide conflicting data, making it difficult to discern which sensor to trust for lateral vehicle control.
Innovation Solution
The system incorporates a third sensor, such as surround view cameras, to determine which of the primary sensors (FCM or EHM) provides more accurate traffic lane information by calculating correlations and using additional data from secondary sensors to arbitrate between conflicting sensor outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors (FCM and EHM) are used to determine traffic lane information, then the system has redundant data sources for lateral vehicle control, but the system cannot discern which sensor to trust when sensors provide conflicting data
Solution Approach 1:
The patent introduces a third sensor (such as a surround view camera or additional imaging sensor) as an intermediary to mediate between the FCM and EHM sensors. This third sensor provides independent lane information that serves as a reference to determine which of the primary sensors is providing accurate data when they conflict, thereby resolving the arbitration complexity while maintaining reliability
2Measurement precision
If the system uses FCM lane information for lateral vehicle control, then the system has dedicated front camera processing, but the system lacks verification capability when FCM data conflicts with other sensors
Solution Approach 1:
The patent adds another dimension of verification by incorporating a third sensor that provides lane information from a different spatial perspective or sensing modality. This additional dimension enables the system to verify FCM data against independent measurements, resolving conflicts through multi-perspective comparison rather than relying on a single sensor's precision
3Reliability
If the system incorporates a third sensor to resolve sensor conflicts, then the system can reliably control lateral vehicle movement by selecting the most accurate sensor data, but the system increases hardware complexity and cost
Solution Approach 1:
The patent selects a third sensor that serves multiple functions: it provides lane information for conflict resolution, offers additional verification for lateral control, and can potentially serve other vehicle functions. This multi-functionality justifies the added hardware complexity by maximizing the utility of the additional sensor beyond mere conflict resolution
Data Source
AI summary
A vehicular driver assistance system includes a front camera module (FCM) disposed at a vehicle. The system, responsive to processing captured image data, generates FCM lane information including information regarding a traffic lane the vehicle is currently traveling along. An e-Horizon module (EHM) generates EHM lane information including information regarding the traffic lane the vehicle is currently traveling along. The vehicular driver assistance system determines an FCM correlation using the FCM lane information and sensor data captured by at least one exterior sensor. The vehicular driver assistance system determines an EHM correlation using the EHM lane information and the sensor data captured by the at least one exterior sensor. Responsive to determining the FCM correlation and the EHM correlation, the system controls lateral movement of the vehicle based on one selected from the group consisting of (i) the FCM lane information and (ii) the EHM lane information.


