Autonomous Driving Control System Driver Habit Adaptation
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Solution Overview
Problem
Current autonomous driving systems lack the ability to quantify and replicate a driver's usual driving habits, particularly in terms of longitudinal and lateral motions, leading to discomfort for passengers when transitioning from human-driven to autonomous modes, especially on curved roads.
Innovation Solution
A method and apparatus that collect and filter driving information to generate a driving pattern, associating longitudinal and lateral accelerations, and set constraint conditions for torque and brake pressure to mimic the driver's habits, using sensors and a vehicle controller to adjust vehicle motion accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If uniform autonomous driving is performed without considering driver habits, then autonomous driving control is simplified, but passenger comfort and familiarity decrease
Solution Approach 1:
The system performs preliminary analysis of driver behavior patterns during manual driving phases, storing acceleration patterns and steering characteristics in advance. This pre-collected data is then applied during autonomous driving to maintain consistency with the driver's habitual behavior, thereby improving comfort without adding complex real-time decision-making requirements.
Solution Approach 2:
The system creates a digital model of the driver's behavior by copying and analyzing actual driving data (acceleration patterns, steering inputs, response times). This behavioral model is then replicated during autonomous driving to mimic the driver's natural driving style, making the autonomous vehicle feel more familiar and comfortable to the driver.
2Object-affected harmful factors
If driver behavior analysis is performed to customize driving patterns, then passenger comfort improves, but system complexity and data processing requirements increase
Solution Approach 1:
The system uses a multi-functional approach where the same sensor array and processing unit that collect data for basic autonomous driving navigation also analyze driver behavior patterns. By making the system universal, no additional dedicated hardware is required for behavior analysis, thus improving comfort while minimizing the increase in system complexity.
Solution Approach 2:
The system focuses on analyzing and adjusting key driving parameters such as acceleration rates, deceleration profiles, and steering angle changes. By concentrating on these specific parameters rather than attempting to model all aspects of driver behavior, the system achieves personalized comfort improvement while keeping the data processing requirements manageable.
3Measurement precision
If real-time filtering and analysis of acceleration data is performed, then driving pattern accuracy improves, but processing time and computational load increase
Solution Approach 1:
The system segments the driving data analysis into distinct phases: data collection during manual driving, pattern recognition and model building, and application during autonomous driving. This segmentation allows for thorough analysis without real-time processing pressure, as the heavy computational work is performed during off-line model building rather than during time-critical autonomous operation.
Solution Approach 2:
The system performs preliminary filtering and pattern recognition during periods when the vehicle is being manually driven, storing processed patterns for later use. This advance processing eliminates the need for complex real-time computations during autonomous driving, maintaining high measurement precision while minimizing processing time during critical driving phases.
Data Source
AI summary
A method of controlling autonomous driving is provided. The method includes collecting driving information of a driver and curvature information of a road and generating a driving pattern of the driver, defined by associating behaviors in longitudinal and lateral directions of the vehicle based on the driving information. The driving pattern is then set to a constraint condition for driving torque and brake pressure and the vehicle is operated based thereon.