Autonomous Vehicle Correction Factors for Human-Like Driving
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Solution Overview
Problem
Autonomous vehicles lack the ability to mimic human driving behavior effectively, leading to passenger discomfort due to unpredictable speed and steering control.
Innovation Solution
An autonomous vehicle system that uses crowd-sourced data to determine nominal vehicle characteristics and apply correction factors based on variance, allowing the vehicle to adjust speed and steering to match human-like driving patterns, utilizing a computing device with data storage and processing capabilities to receive and analyze vehicle data from other vehicles on the same road segment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If autonomous vehicles control speed and steering in a predictable manner, then passenger comfort improves, but the ability to mimic human driving behavior deteriorates
Solution Approach 1:
The system pre-determines nominal vehicle characteristics (speed, steering angle) and correction factors for upcoming road segments before the vehicle reaches them. This allows the vehicle to proactively adjust its behavior to match human driving patterns while maintaining predictable overall control, resolving the contradiction between comfort and human-like behavior
Solution Approach 2:
The system uses crowd-sourced data as feedback to continuously adjust vehicle characteristics. By comparing actual vehicle performance against nominal values derived from human driver data, the system can mimic human driving behavior while maintaining predictable control through systematic correction factors
2Adaptability or versatility
If the vehicle adjusts speed and steering to match crowd-sourced data, then human-like driving behavior improves, but system complexity increases
Solution Approach 1:
The system determines nominal vehicle characteristics and correction factors in advance for upcoming road segments, storing this information before it is needed. This preliminary preparation reduces real-time computational complexity while maintaining the ability to exhibit human-like driving behavior through pre-calculated adjustments
Solution Approach 2:
The system uses crowd-sourced data from other vehicles as a template or copy of human driving behavior. Instead of implementing complex human-like control algorithms from scratch, the system copies established driving patterns from the crowd-sourced nominal values, reducing system complexity while achieving human-like behavior
Data Source
AI summary
A vehicle computing device includes a data storage medium and a processing circuit. The processing circuit is programmed to receive from the data storage medium, a vehicle characteristic associated with an autonomous vehicle, receive historical data associated with the vehicle characteristic at a first road segment, determine a correction factor for the autonomous vehicle based at least in part on the historical data, and apply the correction factor to the vehicle characteristic to operate the autonomous vehicle in accordance with the historical data.