Autonomous Vehicle Driving Style Sharing for Nearby Vehicle Response
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Solution Overview
Problem
Autonomous vehicles exhibit varying driving styles due to differences in control system programming and sensing capabilities, leading to unpredictable behavior that can cause accidents and unpleasant experiences for nearby drivers.
Innovation Solution
A system that collects driving characteristics and occupant feedback using sensors and user interfaces to characterize the driving style of autonomous vehicles, which can be evaluated onboard or offboard to identify patterns and share this information with nearby vehicles, enabling automatic warnings or adjustments to enhance safety and driving experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If autonomous vehicles operate with diverse control system programming and sensing capabilities, then each vehicle can be optimized for its specific function, but driving style variations become unpredictable and unsafe for nearby drivers
Solution Approach 1:
The system collects driving characteristic data from autonomous vehicles and occupant feedback, processes this information to identify driving style patterns, and shares this data with nearby vehicles. This feedback loop enables nearby drivers to understand and adapt to the autonomous vehicle's driving style, resolving the predictability issue while maintaining diverse control system optimizations
Solution Approach 2:
The patent introduces an intermediary system that acts as a communication bridge between autonomous vehicles and nearby drivers. This intermediary collects, processes, and transmits driving style information, allowing nearby drivers to anticipate and respond to autonomous vehicle behavior without requiring changes to the autonomous vehicles' diverse control systems
2Reliability
If driving style information is collected and processed in real-time, then safety can be improved through timely warnings, but system complexity and computational requirements increase
Solution Approach 1:
The system pre-processes driving characteristic data and identifies driving style patterns in advance, creating a profile of the autonomous vehicle's behavior. This preliminary action reduces the computational burden during real-time operation, as the system only needs to compare current behavior against the pre-established profile rather than performing complex real-time analysis
Solution Approach 2:
The patent extracts only the essential driving style characteristics and patterns from the collected data, focusing on the most relevant information for safety warnings. This extraction approach reduces data complexity and processing requirements while maintaining the effectiveness of collision prevention
Data Source
AI summary
Systems and methods for characterizing a driving style of an autonomous vehicle are presented. A system may include one or more sensors configured to collect information concerning driving characteristics; a memory containing computer-readable instructions for evaluating the driving characteristics for a pattern(s) correlatable with a driving style of the autonomous vehicle and for characterizing aspects of driving style based on the one or more patterns; and a processor configured to evaluate the driving characteristics for the one or more patterns correlatable with the driving style, and characterize aspects of the driving style based on the pattern(s). Corresponding methods and non-transitory media are disclosed.