Vehicle Driving Mode Switching on Camera Abnormality
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Solution Overview
Problem
Existing vehicle control systems fail to effectively integrate image capturing for purposes other than drive recorders and do not consider the relationship between image capturing and vehicle steering and acceleration/deceleration control.
Innovation Solution
A vehicle control device that includes a recognizer for surrounding circumstances, a driving controller for steering and acceleration/deceleration, and a mode determinator to switch between driving modes based on camera abnormalities, allowing for appropriate vehicle control and automated parking assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle is controlled in automated driving mode (second driving mode) with reduced driver tasks, then driver workload is reduced, but safety risk increases when camera abnormalities occur
Solution Approach 1:
The system continuously monitors camera operation status and provides feedback to the mode determinator. When camera abnormalities are detected (such as failure to capture images or video recording issues), the system automatically switches from automated driving mode to manual driving mode, ensuring safety while maintaining ease of operation under normal conditions
Solution Approach 2:
The driving mode is made dynamic and adjustable based on camera status. The system transitions between automated driving mode (low driver workload) and manual driving mode (high driver control) depending on whether cameras are functioning normally, allowing the control system to adapt to changing conditions
2Measurement precision
If multiple cameras are used to capture images for automated driving control, then recognition accuracy improves, but system complexity increases
Solution Approach 1:
The camera system is divided into multiple independent camera units (first cameras and second camera) with distinct functions. The second camera captures images for automated driving control while first cameras capture images for other purposes, allowing independent monitoring and fault isolation of each camera segment
Solution Approach 2:
The system uses multiple cameras that serve dual purposes: the second camera primarily captures images for automated driving control but can also contribute to other functions, while first cameras handle alternative image capture tasks. This multi-functionality improves recognition accuracy without proportionally increasing system complexity
3Measurement precision
If image capturing is integrated with vehicle control purposes, then control accuracy improves, but the system becomes more sensitive to camera abnormalities
Solution Approach 1:
The mode determinator acts as an intermediary between camera image capture and vehicle control. It monitors camera status and mediates the transition between automated and manual driving modes, allowing the system to maintain high control accuracy when cameras function properly while adapting to abnormalities through mode switching
Data Source
AI summary
A vehicle control device includes a recognizer configured to recognize surrounding circumstances of a vehicle; a driving controller configured to control steering and acceleration/deceleration of the vehicle; and a mode determinator configured to determine any of a plurality of driving modes including a first driving mode and a second driving mode as a driving mode of the vehicle, in which tasks imposed on a driver in the second driving mode are less significant than in the first driving mode, the driving controller controls the vehicle in the second driving mode, and the driving mode is changed to the first driving mode when an abnormality including predetermined conditions has occurred regarding one or more cameras capturing an image of an area around the vehicle or an image captured by the one or more cameras.