Assisted Lane Change Control with User Preference Adaptation
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Solution Overview
Problem
Assisted and automatic lane change technologies in vehicles do not adequately account for passenger personal preferences, potentially compromising comfort and safety by not considering individual anxiety triggers during driving conditions.
Innovation Solution
A vehicle system with a driving condition sensor and human-machine interface that allows users to input lane change parameters, enabling the processor to determine whether an assisted lane change should be performed based on detected driving conditions and user-defined preferences, thereby enhancing passenger comfort and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If assisted or automatic lane change is performed without user preference input, then the lane change operation can be executed automatically, but the passenger comfort and personal preferences are not sufficiently accounted for
Solution Approach 1:
The system dynamically adjusts lane change parameters based on real-time sensor data (vehicle speed, acceleration, surrounding traffic) and stored user preferences. The processor modifies lane change behavior adaptively, changing steering angle, lane change timing, and acceleration patterns according to the specific driving situation and individual user comfort requirements, making the automated system flexible rather than rigid.
Solution Approach 2:
The system incorporates feedback mechanisms where sensor data about driving conditions feeds back to the processor, which then adjusts lane change execution accordingly. User preferences serve as continuous feedback criteria, allowing the system to learn and adapt to individual comfort levels over time, improving the automated lane change operation through iterative adjustment based on monitored parameters.
2Adaptability or versatility
If user preference input is collected and processed, then passenger comfort and personalization are improved, but the system complexity increases
Solution Approach 1:
The processor performs multiple functions: it processes sensor data, manages user preference storage, executes lane change control, and adjusts parameters in real-time. The human-machine interface serves universal purposes for both input and output operations. By consolidating these functions into existing components rather than adding dedicated separate systems, the patent reduces overall system complexity while maintaining high adaptability.
Solution Approach 2:
The patent merges the lane change control function with the existing automated driving control system. User preference processing is integrated into the central processor rather than requiring a separate dedicated system. The human-machine interface is combined with existing vehicle control interfaces, reducing the number of separate components and simplifying the overall system architecture while still providing comprehensive personalized lane change management.
Data Source
AI summary
A vehicle system includes a driving condition sensor mounted in a subject vehicle, the driving condition sensor detecting a driving condition related to the subject vehicle, a human-machine interface mounted in the subject vehicle, the human-machine interface configured to receive, from a user, a user preference input indicating a lane change parameter corresponding to the driving condition, and a processor coupled to the driving condition sensor and the human-machine interface. The processor is programmed to receive the user preference input from the human-machine interface, determine the driving condition from the driving condition sensor, and determine whether the assisted lane change should be performed based on the driving condition and the lane change parameter.