Autonomous Driving Interface for Object Recognition Status Display
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional advanced driver assistance systems (ADAS) do not provide users with information about the recognition status of objects around a vehicle, leading to user anxiety and reduced satisfaction due to the need for constant monitoring and potential intervention in autonomous driving.
Innovation Solution
An autonomous driving control apparatus that includes an interface device and a processor to visually classify and display vehicle surrounding objects based on recognition status or risk degree, using colors, shapes, and notifications such as tactile, vibration, or auditory cues, allowing users to input commands to determine control targets and correct misrecognized objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional ADAS operates without providing recognition status information, then the system operates autonomously without user intervention, but user anxiety increases and satisfaction decreases due to lack of transparency
Solution Approach 1:
The system provides continuous feedback to the user by displaying recognition status information through color-coded indicators (green for recognized, yellow for partially recognized, red for unrecognized objects). This feedback loop allows users to understand what the autonomous system is detecting, reducing anxiety while maintaining automation.
Solution Approach 2:
The patent uses color changes to visually represent different recognition statuses. Objects are displayed in different colors based on their recognition status, providing intuitive visual feedback without requiring complex information processing by the user.
2Loss of information
If the system displays all detected objects without classification, then complete information is provided, but user cognitive load increases and information becomes difficult to process
Solution Approach 1:
The system segments detected objects into distinct categories based on recognition status (fully recognized, partially recognized, unrecognized). Each category is displayed with unique visual characteristics, allowing users to quickly process information without being overwhelmed by raw data.
Solution Approach 2:
Different visual properties (colors, icons, display prominence) are applied to different objects based on their recognition status. This local differentiation allows users to prioritize attention on critical objects while automatically understanding the status of others.
3Reliability
If the system requires constant user monitoring and potential intervention, then safety is maintained, but user fatigue increases and satisfaction decreases
Solution Approach 1:
The system performs preliminary classification and organization of detected objects before presenting information to the user. By pre-processing sensor data into categorized visual displays, the system reduces the cognitive effort required for user monitoring while maintaining safety through comprehensive object awareness.
Data Source
AI summary
The present disclosure relates to an autonomous driving control apparatus, a vehicle system comprising the same, and a method thereof. An exemplary embodiment of the present disclosure provides an autonomous driving control apparatus comprising an interface device configured to display a driving path of a vehicle and vehicle surrounding objects, and a processor configured to visually classify and display one or more vehicle surrounding objects on the interface device based on a recognition status of the one or more vehicle surrounding objects or a risk degree of the one or more vehicle surrounding objects based on recognition information of the one or more vehicle surrounding objects while driving.