Driver Information Display for Visualizing Automated Vehicle Trajectory
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Solution Overview
Problem
There is a need for a method that allows drivers to easily detect and understand the control measures required for their vehicle's future movement, particularly in complex driving situations, to enhance safety and comfort by providing clear and timely information about the vehicle's behavior and the status of assistance systems.
Innovation Solution
A driver information system that generates and outputs a driver information display, including graphic road user and trajectory objects, which represent other road users and the vehicle's target trajectory, using sensors and map data to provide a realistic estimation of the driving situation and potential hazards, and adapts to different automation levels and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive driver assistance systems with high automation levels are implemented, then vehicle control and safety are improved, but the driver's understanding and control of vehicle behavior deteriorates
Solution Approach 1:
The system provides continuous feedback to the driver through the driver information display, showing the target trajectory, detected road users, and automated control measures. This feedback loop maintains driver awareness and understanding of vehicle behavior even when automation is active, resolving the contradiction between automation reliability and driver comprehension.
Solution Approach 2:
The driver information display acts as an intermediary between the automated driver assistance systems and the driver. It translates complex system operations into comprehensible visual representations, allowing the driver to understand automated vehicle behavior without needing to directly control all functions.
2Loss of information
If detailed information about driving situation and system status is provided to the driver, then driver awareness is improved, but information processing complexity increases
Solution Approach 1:
The information display is segmented into distinct visual elements: trajectory objects showing intended path, road user objects representing detected vehicles and obstacles, and system status indicators. This segmentation organizes complex information into manageable, easily interpretable components that reduce cognitive load while maintaining comprehensive awareness.
Solution Approach 2:
The system uses color coding to convey different states and priorities: green for safe conditions, yellow for caution, red for hazards or system interventions. This visual encoding allows rapid comprehension of complex driving situations and system status without requiring detailed analysis of numerical data.
Data Source
AI summary
A method for operating a driver information system in an ego vehicle is provided wherein an additional road user is detected in a road area lying in front of the ego vehicle. A target trajectory for the ego vehicle is generated by a driver assistance system for at least partially automatic transverse control of the ego vehicle depending on the additional road user, and a driver information display is generated and output. The driver information display comprises a graphic road user object that represents the additional road user. The driver information display furthermore comprises a trajectory object which represents the target trajectory of the ego vehicle.