Automated Lane Change Area Selection in Complex Traffic
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Solution Overview
Problem
Current automated lane changing systems in vehicles have a low success rate in complex scenarios, necessitating an improved solution for intelligent lane changing.
Innovation Solution
An automated lane changing method and device that calculates an expected lane changing point and selects an optimal area based on obstacle information, safety, and efficiency, using a vehicle sensor to divide the target lane into different areas for lane changing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated lane changing assistance function is implemented, then lane changing operation is automated, but success rate is low in complex scenarios
Solution Approach 1:
The target lane is divided into multiple candidate areas based on obstacle information, with each area representing a potential lane changing target. This segmentation allows the system to evaluate different regions independently and select the most suitable one, improving success rate in complex scenarios while maintaining automation.
Solution Approach 2:
The system calculates expected lane changing points for each candidate area based on obstacle information and evaluates multiple parameters (safety, efficiency, comfort) to select the optimal area. This parameter-based evaluation enables adaptive selection of lane changing targets, resolving the contradiction between automation and reliability.
2Reliability
If multiple candidate areas are evaluated for lane changing, then lane changing success rate improves, but calculation complexity increases
Solution Approach 1:
The system pre-divides the target lane into multiple candidate areas based on obstacle information before selecting the final lane changing target. This preliminary segmentation simplifies the subsequent evaluation process by providing predefined options, reducing calculation complexity while maintaining high success rate through comprehensive evaluation.
3Reliability
If optimal lane changing point is calculated based on obstacle information, then lane changing safety improves, but processing time increases
Solution Approach 1:
The system calculates expected lane changing points locally for each candidate area based on obstacle information specific to that area. This localized calculation approach ensures safety by considering area-specific conditions while reducing overall processing time compared to evaluating the entire lane uniformly.
Data Source
AI summary
The disclosure relates to an automated lane changing method for a vehicle. The method includes: obtaining a plurality of areas in a target lane; calculating, based on information about an obstacle included in each area in the plurality of areas, an expected lane changing point for the area; and selecting, based on the expected lane changing point and an availability check result for the plurality of areas, a first area in the plurality of areas as a target area for final lane changing. The disclosure further relates to an automated lane changing device for a vehicle, a computer storage medium, and a vehicle.

