Vehicle Driving Mode Switching for Accurate Runway Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle control systems rely on camera information that may deviate from map information, leading to incorrect runway estimation.
Innovation Solution
A vehicle control device that utilizes a camera, radar, and map information to independently control steering, acceleration, and deceleration, switching driving modes based on matching road markings and detected stationary targets to ensure accurate runway estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If camera information is used to set target runway, then the system can operate independently of map information, but the runway estimation may be incorrect when camera information deviates from map information
Solution Approach 1:
The patent introduces map information as an intermediary reference to mediate between camera road marking detection and runway estimation. When camera-detected road markings are ambiguous or deviate from actual road geometry, the system uses map information as a mediator to correct and validate the runway estimation, ensuring accuracy without requiring perfect camera detection alone.
Solution Approach 2:
The system implements feedback by continuously comparing camera-detected road markings with map information and using the comparison results to adjust runway estimation. When deviations are detected, the system feeds back correction signals to refine the target runway calculation, ensuring reliable estimation even when camera information alone would be insufficient.
2Measurement precision
If multiple sensors and information sources are integrated, then runway estimation accuracy improves, but the system complexity increases
Solution Approach 1:
The patent segments the information processing into distinct modules: camera road marking detection, map information retrieval, comparison/validation logic, and runway calculation. Each module handles a specific aspect of the problem independently, reducing overall system complexity while maintaining high measurement precision through coordinated operation of these segmented functions.
Solution Approach 2:
The system applies local quality by using different information sources selectively based on local conditions. When camera detection is reliable, it uses camera information locally; when map information is more reliable or camera detection is ambiguous, it switches to or combines with map information, optimizing precision without uniformly increasing complexity across all operating conditions.
3Reliability
If the system switches between driving modes based on task execution, then driver safety is improved, but the control logic complexity increases
Solution Approach 1:
The patent implements dynamic mode switching where the driving mode (manual or automated) is not fixed but adapts in real-time based on task execution status and environmental conditions. This dynamic adjustment allows the system to optimize driver safety by engaging automated control when appropriate while maintaining simplicity by using clear, condition-based switching logic rather than complex continuous control.
Solution Approach 2:
The system performs self-service by automatically monitoring task execution status and autonomously switching between driving modes without requiring constant driver intervention or complex external control logic. The mode switching logic serves itself by using simple, rule-based decisions based on whether tasks are being executed, improving safety while keeping the control logic relatively simple.
Data Source
AI summary
A vehicle control device includes a storage medium storing computer-readable instructions and a processor connected to the storage medium. The processor executes the computer-readable instructions to recognize a surrounding situation of a vehicle using at least a camera, decide on a driving mode of the vehicle as one of a first driving mode and a second driving mode on the basis of the surrounding situation and map information and change the driving mode from the second driving mode to the first driving mode when it is determined that information of a stationary target group detected by a space detection sensor mounted in the vehicle matches information of a free space detected on the basis of an image captured by the camera, a camera road marking matches the information of the free space, and there is interference between the information of the stationary target group and the map road marking in a case where it is determined that the camera road marking does not match the map road marking while the vehicle is traveling in the second driving mode.