Vehicle Driving System Dynamic Priority Lane Determination
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Solution Overview
Problem
Existing vehicle driving systems struggle to accurately determine a driving lane, especially in situations where a line is not detected properly, such as in construction areas or unpaved regions, which can lead to unsafe autonomous driving and lane departure issues.
Innovation Solution
A driving system equipped with an object detection apparatus and a processor that generates object information and adjusts a preset priority order to determine a driving lane based on various objects, including temporary facilities and human guidance, even when traditional road lines are not visible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driving system determines a driving lane based on a line painted on the road surface, then the lane determination is straightforward and reliable under normal conditions, but it fails when the line is not detected properly (e.g., in construction areas or unpaved regions)
Solution Approach 1:
The system dynamically adjusts the priority order of information types based on detection results and driving situations. When line detection fails or construction objects are detected, the system automatically changes the priority from line-based to object-based lane determination, enabling adaptive response to varying environmental conditions
Solution Approach 2:
The system uses multiple types of information (line information, construction object information, temporary facility information) that can serve different functions in lane determination. This multi-functionality allows the system to determine lanes using appropriate information types depending on the driving environment, whether normal or construction areas
2Ease of operation
If the driving system uses only line information for lane determination, then the system is simple and easy to operate under normal conditions, but it cannot determine lanes in construction areas or unpaved regions
Solution Approach 1:
The system segments the lane determination process into multiple stages: first attempting line-based determination, then switching to object-based determination when line detection fails. This segmentation allows the system to use the simplest effective method for each situation, maintaining ease of operation while improving adaptability
3Productivity
If the driving system prioritizes line information always, then the processing is efficient and fast, but it produces inaccurate lane determination when lines are not visible or detectable
Solution Approach 1:
The system incorporates feedback mechanisms where the detection results of lines and construction objects influence the priority order selection. When line detection fails or construction objects are detected, the feedback triggers a switch to alternative information types, ensuring accurate lane determination while maintaining efficient processing through automated decision-making
Data Source
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AI summary
Disclosed is a driving system for a vehicle, including: an object detection apparatus configured to generate object information which is information about an object located outside the vehicle; and a processor configured to determine a driving lane for the vehicle based on a preset priority order and the object information, and when it is determined that a preset event has occurred, change the priority order based on the object information.