Vehicle Surround Display Control for Adaptive Lane Image Simplification
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Solution Overview
Problem
Existing vehicle display systems overwhelm drivers with complex and difficult-to-understand displays of the traveling environment, especially in varying scenarios and automated driving conditions, making it challenging to present the surroundings effectively.
Innovation Solution
The display control techniques adjust the number, scale, and layout of line images in the peripheral image based on road type, automated driving mode, traffic conditions, and driver state, using sensors and cameras to simplify the display and enhance understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the display shows all detected road elements and lane markings, then the information completeness is improved, but the display complexity increases making it difficult for drivers to understand
Solution Approach 1:
The display is segmented into multiple hierarchical levels showing only relevant road elements at each level. The system divides the comprehensive road information into essential elements (primary lane markings) and optional elements (secondary markings, detailed road features), allowing drivers to understand the display without being overwhelmed by all detected elements simultaneously.
Solution Approach 2:
Different display regions and elements are assigned different levels of detail and importance. Critical safety-related road elements are displayed with high visibility and detail, while less critical elements are shown with reduced prominence or only when relevant to the current driving context, creating a quality gradient that guides driver attention.
2Adaptability or versatility
If the display adapts to different automated driving modes and road types, then the adaptability is improved, but the control complexity increases
Solution Approach 1:
The display configuration dynamically adapts to different automated driving modes (manual, automated, semi-automated) and road types (highway, urban, rural) by automatically adjusting which road elements are displayed and their prominence. The system transitions between predefined display configurations based on the current operating context, providing adaptability without requiring complex real-time customization controls.
Solution Approach 2:
A single display system serves multiple functions across different driving modes and road types by implementing a universal configuration framework. The same display infrastructure handles various scenarios (different automation levels, road types, traffic conditions) through a unified set of configurable parameters, eliminating the need for separate control systems for each scenario.
3Measurement precision
If the display shows detailed road information, then the measurement precision is improved, but the ease of operation decreases
Solution Approach 1:
The system displays a partial set of road information elements that are most relevant to safe driving, rather than all available high-precision data. By selectively showing only the essential lane markings and road features needed for current driving decisions, the system maintains measurement precision for all elements while presenting only the necessary subset to the driver, improving ease of operation.
Data Source
AI summary
A display control device for controlling display of a peripheral image indicating a traveling environment of a host vehicle based on information acquired by a sensor recognizes the traveling environment. The display control device includes an information acquisition unit and a display control unit. The information acquisition unit acquires at least type information indicating a type of a road and shape information indicating a lane shape of the road as road information related to the road around the host vehicle. The display control unit draws line images reproducing the road in the peripheral image based on the shape information. The display control unit changes a number of the line images drawn in the peripheral image based on the type information.