Steering Risk Decision System for Narrow Road Navigation
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Solution Overview
Problem
Drivers face challenges in predicting and avoiding collisions while navigating narrow roads, requiring precise steering adjustments and slow speeds to avoid obstacles, which can be cumbersome and risky.
Innovation Solution
A system comprising an obstacle sensor, feature point extractor, driving state sensor, and risk determinator, which predicts the driving region and calculates the steering risk by processing sensor data to inform the driver of potential collision risks, dividing the vehicle's peripheral region into safety, warning, and risk zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver manually adjusts steering angle inch by inch while driving slowly, then collision avoidance is achieved, but driving efficiency and productivity deteriorate
Solution Approach 1:
The system performs preliminary prediction of the driving region based on current steering angle and vehicle dynamics model before the driver completes the steering maneuver. This allows the driver to make steering decisions based on predicted outcomes rather than trial-and-error inch-by-inch adjustments, significantly improving driving efficiency while maintaining collision avoidance reliability
Solution Approach 2:
The system provides real-time feedback to the driver by displaying the predicted driving region and collision risk information. This feedback loop enables the driver to adjust steering decisions based on system predictions, reducing the need for cautious slow movements while maintaining safe driving through narrow roads
2Reliability
If the driver makes frequent steering adjustments to avoid obstacles, then collision risk is reduced, but driving complexity and operational difficulty increase
Solution Approach 1:
The system calculates and displays the predicted driving region and collision risk before the driver completes the steering maneuver. This allows the driver to make informed steering decisions in advance rather than making frequent reactive adjustments, simplifying the steering operation while maintaining collision avoidance
Solution Approach 2:
The system acts as an intermediary between the driver's steering input and the actual vehicle path by predicting the driving region. This intermediary function provides the driver with advance information about the vehicle's trajectory, reducing the cognitive load and operational complexity of navigating narrow roads
3Reliability
If the driver drives slowly through narrow roads, then collision avoidance is improved, but driving time and operational duration increase
Solution Approach 1:
The system performs preliminary prediction of the driving region and collision risk before the driver completes the steering maneuver. This allows the driver to proceed with confidence at appropriate speeds rather than moving inch by inch, significantly reducing the time required to traverse narrow roads while maintaining collision avoidance
Solution Approach 2:
The system provides real-time feedback on collision risk based on the predicted driving region, enabling the driver to make faster, more confident steering decisions. This feedback reduces the need for cautious slow driving while maintaining safety, thereby reducing overall driving time through narrow roads
Data Source
AI summary
The present invention provides a steering risk decision system and method that determine and provide a steering risk of a vehicle to a driver. The system includes an obstacle sensor that senses an obstacle to generate first sensor data and a driving state sensor senses a driving state of a vehicle to generate second sensor data. In addition, a processor extracts feature points from first sensor data to indicate the obstacle in point and line shapes and predicts a driving region of the vehicle using second sensor data. Further, the processor calculates a relationship between the vehicle and the obstacle using information for the obstacle indicated in the point and line shapes and information for the driving region to determine a steering risk of the vehicle based on the calculated result.