Driver Assistance System Quadrant Risk Aggregation
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Solution Overview
Problem
Modern driver assistance systems in vehicles are complex and intrusive, making it difficult for drivers to learn and use them effectively, often leading to drivers ignoring or disabling these systems.
Innovation Solution
A driver assistance system that processes various vehicle environment inputs to provide quadrant risk values, allowing for easier operation by aggregating object risk values from external and internal sensors, using a knowledge base and electronic control unit to control vehicle actuators and adjust warnings dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple driver assistance features are added to improve safety and comfort, then the functionality and reliability of the system is improved, but the device complexity increases making it harder for drivers to learn and use
Solution Approach 1:
The patent combines multiple driver assistance features (lane departure warning, lane keeping assist, cruise control, automated vehicle control) into a single integrated system controlled by one electronic control unit. This merging reduces the operational complexity drivers face while maintaining all safety and comfort functions, as the system synthesizes inputs from multiple sensors and provides coordinated assistance across all features rather than requiring separate control for each function
2Reliability
If driver assistance systems use light, sound, and active vehicle control to provide help, then the effectiveness of assistance is improved, but the ease of operation deteriorates as drivers find the systems intrusive and difficult to learn
Solution Approach 1:
The driver assistance system operates autonomously by automatically synthesizing inputs from multiple sensors and applying rules to determine appropriate assistance actions. The system serves itself by making real-time decisions about when to provide lane departure warnings, lane keeping assistance, or automated control without requiring drivers to manually activate or configure each feature, thereby reducing the learning curve while maintaining effectiveness
Solution Approach 2:
The system segments the complex task of driver assistance into distinct functional modules (lane departure warning, lane keeping assist, cruise control, automated vehicle control) that are independently developed but integrated under a single control unit. This segmentation allows each module to be optimized for effectiveness while the unified control interface simplifies operation for drivers
Data Source
AI summary
A driver assistance system is described that takes as input a number of different types of vehicle environment inputs to provide driver assistance to a driver. To provide the assistance, the driver assistance system synthesizes the inputs. For objects in the vehicle environment detected in the inputs, object risk values are determined by applying a set of rules to the objects. The object risk values are aggregated by quadrant to generate a set of quadrant risk values. A driver assistance system of the vehicle is controlled based on the quadrant risks.