Driver Assistance Risk Zone Display for Intuitive Hazard Perception
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Solution Overview
Problem
Advanced driver assistance systems do not consider human psychology in risk perception, leading to non-intuitive risk information for drivers, which increases reaction time and response to environmental hazards.
Innovation Solution
An advanced driver assistance system that estimates risks by assessing virtual positions of a vehicle relative to environmental features, forming a risk zone based on these estimates, and displaying this information to intuitively convey potential hazards to the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the advanced driver assistance system displays risk information based on current sensor data only, then the system complexity is reduced, but the driver's reaction time increases due to non-intuitive risk perception
Solution Approach 1:
The system performs preliminary risk assessments by calculating risks at multiple virtual positions before the vehicle actually reaches them. This allows the system to prepare and display intuitive risk zone information in advance, enabling the driver to react more quickly to potential hazards without increasing system complexity during operation.
Solution Approach 2:
The system transitions from displaying risk information only at the current vehicle position to displaying risks at multiple virtual positions along the vehicle's path. This dimensional expansion from a single point to multiple future positions creates a more intuitive temporal and spatial representation of risks, improving driver reaction time without significantly increasing system complexity.
2Reliability
If the system estimates risks at multiple virtual positions, then driver awareness and reaction time improve, but the computational complexity and processing requirements increase
Solution Approach 1:
The system segments the risk estimation task by dividing it into multiple independent calculations at different virtual positions. Each position's risk is calculated separately based on sensor data and vehicle parameters, allowing the computational complexity to be distributed and managed more efficiently while improving overall driver awareness.
Solution Approach 2:
The system changes parameters by evaluating risks at multiple virtual positions along the vehicle's path rather than only at the current position. This parameter expansion from a single position to multiple positions enhances driver awareness of future risks while the calculations reuse existing sensor data and vehicle parameters, limiting the increase in computational complexity.
3Ease of operation
If the system displays risk zones based on psychological risk perception, then the ease of operation improves, but the measurement precision of actual collision risk may be reduced
Solution Approach 1:
The system introduces virtual positions as an intermediary between the actual vehicle position and the driver's perception of risk. These virtual positions serve as a mediator that translates complex collision probability calculations into an intuitive spatial representation, improving ease of operation while maintaining the precision of underlying risk measurements.
Solution Approach 2:
The system creates a copy of the vehicle at multiple virtual positions to display risk information. This copying approach allows the system to present psychologically intuitive risk zones based on perceived distance and position, while the actual collision risk calculations remain precise and separate, resolving the contradiction between intuitiveness and measurement precision.
Data Source
AI summary
The present invention provides an advanced driver assistance system for assisting a driver of a vehicle. The system comprises a sensor unit, a processing unit and a display unit. The sensor unit is configured to sense an environment of the vehicle. The processing unit is configured to determine, based on a sensing output, at least one feature of the environment. The processing unit is configured to determine, for a current time, a risk zone of the feature, by estimating, based on at least one parameter of the vehicle at the current time, at each virtual position of two or more virtual positions of the vehicle a respective risk with regard to the feature; and by forming the risk zone based on the two or more risks. The display unit is configured to display the environment of the vehicle with the feature and the risk zone of the feature.