Lateral Autonomous Driving Target Selection for Stable Vehicle Following
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Solution Overview
Problem
Existing autonomous driving systems face issues when attempting to follow inappropriate vehicles for lateral autonomous driving control, leading to degraded performance and instability, as they do not selectively choose optimized target vehicles for lateral following, which can result in the release of autonomous driving functions.
Innovation Solution
An autonomous driving control apparatus equipped with sensors and a controller that analyze the lateral behaviors of surrounding vehicles to determine suitability for lateral following, based on factors such as lane following performance, distance and timing of lane changes, and biased driving, allowing the system to actively select and follow an appropriate target vehicle for improved stability and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the existing autonomous driving system sets any preceding vehicle as a target for lateral following control, then the system can perform autonomous driving following, but the autonomous driving performance is degraded and the function may be released due to inappropriate target selection
Solution Approach 1:
The system changes the selection parameters for target vehicle by introducing multiple evaluation criteria including lane following performance, lane change behavior patterns, and distance maintenance capability. This transforms the simple preceding vehicle selection into a multi-parameter assessment process that identifies vehicles suitable for lateral autonomous driving control, thereby preventing function release and improving reliability
Solution Approach 2:
The autonomous driving system performs self-assessment by evaluating the lateral behavior characteristics of surrounding vehicles and automatically selecting the most suitable target vehicle for following control. This self-service mechanism enables the system to autonomously determine appropriate targets based on observed behavior patterns, ensuring stable autonomous driving performance
2Duration of action of moving object
If the autonomous driving system follows a vehicle not optimized for lateral autonomous driving control, then the system can maintain continuous following, but the ride quality is degraded and control stability is compromised
Solution Approach 1:
The system performs preliminary evaluation of surrounding vehicles' lateral behavior characteristics before initiating autonomous following control. By assessing lane following performance, lane change patterns, and distance maintenance in advance, the system pre-selects optimized target vehicles that will ensure smooth ride quality and stable control throughout the following process
Solution Approach 2:
The system continuously monitors the lateral behavior of the selected target vehicle and adjusts following control based on observed performance. This feedback mechanism ensures that the system maintains optimal following distance and lateral positioning, thereby preserving ride quality and control stability during continuous autonomous driving operation
Data Source
AI summary
A lateral autonomous driving control apparatus following a target vehicle and a method thereof are provided. A sensor device provided in a vehicle detects pieces of information related to one or more surrounding other vehicles. A controller is configured to analyze lateral behaviors of the one or more surrounding other vehicles and determines whether the one or more surrounding other vehicles are vehicles suitable for lateral following autonomous driving control of the vehicle. The autonomous driving control apparatus actively select a target vehicle optimized for autonomous driving lateral control performance to improve completeness of an autonomous driving function.