Driver Information Display for Clear Road User Awareness
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Solution Overview
Problem
Current driver information systems in vehicles do not effectively allow drivers to perceive additional road users in a comprehensive and easy manner, which can lead to hazardous situations due to lack of clear information about the vehicle's environment and assistance system interventions.
Innovation Solution
A method and system that generates a driver information display using graphic road user objects based on depiction-relevant features, such as color, shape, and state, which are detected by sensors like cameras and radar, to provide a realistic representation of road users and environmental conditions, allowing for predictive and adaptive driving maneuvers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional driver information systems are used, then the system structure is simple, but the driver cannot effectively perceive additional road users and environmental conditions
Solution Approach 1:
The information display is segmented into multiple graphic road user objects, each representing different road users with distinct visual characteristics. This segmentation allows the driver to perceive individual road users clearly while maintaining an organized overall view, resolving the contradiction between providing comprehensive information and maintaining simple system structure.
Solution Approach 2:
Different colors are assigned to different road user objects to encode various types of information (e.g., vehicle type, detection confidence, relative position). This color-coding system enables the driver to quickly distinguish between different road users without increasing textual or visual complexity, thereby improving information perception while keeping the interface manageable.
2Loss of information
If detailed environmental information is provided to the driver, then driver awareness improves, but the information processing time increases
Solution Approach 1:
The system pre-processes environmental data from sensors and pre-generates graphic road user objects with relevant features extracted in advance. This preliminary processing allows the information to be ready for immediate display when needed, reducing the actual processing time during critical driving moments while still providing comprehensive environmental information.
Solution Approach 2:
Instead of processing and displaying raw sensor data, the system creates simplified graphic copies (visual representations) of road users and environmental conditions. These graphic copies convey essential information in an intuitively understandable format, reducing the cognitive processing time required by the driver while maintaining comprehensive environmental awareness.
3Loss of information
If graphic road user objects with multiple features are displayed, then driver awareness of road users is enhanced, but the display complexity increases
Solution Approach 1:
Different visual features (color, shape, size, icons) are applied locally to different aspects of road user representation. Each graphic object uses a combination of features tailored to the specific road user type and situation, allowing comprehensive information encoding without uniformly increasing the complexity of the entire display system. The complexity is distributed and optimized locally for each road user object.
Data Source
AI summary
A method for operating a driver information system in an ego vehicle is provided, in which environment data in an environment of the ego vehicle are captured, and an additional road user is identified using the captured environment data. A driver information display is generated and output, wherein the driver information display comprises a graphic road user object which represents the additional road user. A depiction-relevant feature of the additional road user is determined, and the road user object assigned to the additional road user is generated depending on the depiction-relevant feature.