Lane Change Route Generation Using Effective Lane Markings
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Solution Overview
Problem
Existing vehicle control systems face challenges in generating accurate traveling routes for lane changes due to low accuracy of lane marking information detected by cameras or radars, especially at longer distances and when obstacles obstruct the view.
Innovation Solution
A traveling route generation apparatus and method that acquires and processes real-time lane marking information from multiple lanes, determines the effectiveness of this information, and selects a reference lane marking to generate a lane change traveling route with high accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If lane marking information is acquired at the time of lane change start based on maximum detection distance, then the traveling route can be generated in advance, but the accuracy of distant lane marking information is low
Solution Approach 1:
The system performs preliminary lane marking detection and route generation at the time of lane change start, but continuously updates the lane marking information during the actual lane change process. This allows the system to prepare in advance while correcting for accuracy degradation over distance and time.
Solution Approach 2:
The system continuously acquires new lane marking information during lane change and uses this real-time feedback to update and correct the previously generated traveling route. This feedback mechanism ensures that the final route accuracy is maintained despite the initial distance-related accuracy loss.
2Productivity
If lane marking information is used for generating traveling route, then the route generation speed is improved, but the reliability is low when obstacles block the view
Solution Approach 1:
The system dynamically adjusts the lane marking information acquisition process based on detection effectiveness. When obstacles block the view and reduce reliability, the system continues to acquire and update lane marking information throughout the lane change, switching from static pre-planned routing to dynamic real-time routing adjustment.
Solution Approach 2:
Instead of relying solely on a single initial detection at lane change start, the system continuously acquires lane marking information throughout the entire lane change process. This continuous action ensures that even if initial detection is blocked by obstacles, subsequent detections can provide reliable information for route generation.
3Measurement precision
If multiple lane markings are considered for route generation, then the accuracy can be improved, but the system complexity increases
Solution Approach 1:
The system applies different processing levels to different lane markings based on their effectiveness and relevance. Rather than uniformly processing all detected lane markings, the system identifies and prioritizes effective lane markings that are actually useful for the current lane change, reducing unnecessary processing complexity while maintaining accuracy.
Solution Approach 2:
The system segments the lane marking information processing into distinct stages: initial detection at lane change start, continuous detection during lane change, and final route generation. This segmentation allows the system to manage complexity by handling different sets of lane markings at different times rather than processing all information simultaneously.
Data Source
AI summary
To provide a travel route generation apparatus and a travel route generation method which can generate a travel route for changing lanes with good accuracy using the newest lane marking information obtained during lane change. A travel route generation apparatus and a travel route generation method, during lane change of the own vehicle, determines whether or not the lane marking information of each lane marking is effective lane marking information which can be used for generation of a lane change travel route which is a travel route for changing lanes; selects a reference lane marking from the lane marking on the left side and the lane marking on the right side of an own lane, based on an effectiveness determination result; and generates a lane change travel route, based on the lane marking information of the reference lane marking.