Host Vehicle Cut-In Detection via Lane Line Length Analysis
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Solution Overview
Problem
Current vehicle driver assistance systems face challenges in quickly and accurately recognizing vehicles that are cutting in from adjacent lanes, which can lead to potential collisions and traffic congestion.
Innovation Solution
A method and system that utilize a front camera to identify the left and right lines of the travel lane and detect nearby vehicles by analyzing differences in line lengths and presence, determining the cut-in vehicle's intention through lateral velocity and distance, and adjusting the host vehicle's velocity to secure an entry space for the cut-in vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the host vehicle maintains a preset velocity without adjusting for nearby vehicles, then the driving efficiency is maintained, but the safety risk increases when a cut-in vehicle appears
Solution Approach 1:
The system performs preliminary detection of nearby vehicles and analysis of lane line lengths before a cut-in event occurs. By continuously monitoring the environment and identifying potential cut-in risks in advance, the system prepares for safety actions without disrupting normal driving flow, thus maintaining driving efficiency while improving safety readiness.
Solution Approach 2:
The host vehicle's velocity is dynamically adjusted based on the detected cut-in risk. When a cut-in vehicle is identified through lane line analysis, the system automatically modifies the preset velocity to maintain safe spacing. This dynamic adjustment ensures safety while minimizing impact on overall driving efficiency by only changing velocity when necessary.
2Reliability
If the system continuously monitors and adjusts velocity to secure entry space for cut-in vehicles, then the safety is improved, but the complexity of the control system increases
Solution Approach 1:
The control system is segmented into distinct functional modules: a detection unit that identifies nearby vehicles and analyzes lane line lengths, a determination unit that identifies cut-in risks based on line length differences, and a control unit that adjusts velocity. This segmentation allows each module to perform its specific function independently, simplifying the overall system architecture while maintaining comprehensive safety monitoring and control capabilities.
3Measurement precision
If the system uses multiple parameters (line lengths, lateral velocity, distance) to determine cut-in intention, then the measurement precision is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system performs preliminary analysis of lane line lengths to identify potential cut-in risks before fully engaging complex multi-parameter detection. By using line length differences as an initial screening criterion, the system reduces the number of cases requiring full multi-parameter analysis, thereby maintaining high measurement precision while reducing overall detection complexity.
Solution Approach 2:
The detection process is segmented into stages: first analyzing lane line lengths to identify potential cut-in zones, then applying multi-parameter analysis (lateral velocity, distance) only in those identified zones. This segmented approach allows the system to maintain high measurement precision where needed while reducing detection complexity in areas where simple line length analysis suffices.
Data Source
AI summary
The present disclosure relates to a host vehicle and control method thereof, according to one aspect of the present disclosure, the purpose is to enable quick and accurate recognition of cut-in vehicles that change lanes from adjacent lanes to travel lanes. Disclosed are a control method of a host vehicle, the method including: obtaining a front image by photographing the front of the host vehicle; identifying left and right lines of a travel lane in which the host vehicle is traveling from the front image; determining that a vehicle cutting-in from an adjacent lane to the travel lane exists when the lengths of the left line and the right line of the travel lane are different from each other in the front image.