Autonomous Transition Region Management for Passenger Experience
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Solution Overview
Problem
Autonomous vehicles face challenges in seamlessly transitioning between different levels of autonomy, which can disrupt passenger experiences due to inconsistent handling of autonomous transition regions, such as road work or high pedestrian areas, leading to potential discomfort and inefficiency.
Innovation Solution
A method and apparatus that utilize processor-based systems to determine autonomous transition region parameters and user preferences, enabling vehicles to perform actions like engagement or disengagement based on predefined rules, historical data, and real-time user inputs, thereby optimizing passenger experience by managing autonomy levels dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles adhere to transitions in autonomy levels in certain regions, then safety and regulatory compliance are improved, but passenger comfort and user experience deteriorate due to inconsistent handling and disruptions
Solution Approach 1:
The system performs preliminary actions by notifying passengers in advance about upcoming autonomous transition regions and allowing them to provide preferences before the transition occurs. This advance preparation resolves the contradiction by maintaining regulatory compliance while improving passenger comfort through informed consent and preference accommodation.
Solution Approach 2:
The system dynamically adjusts autonomy level transitions based on real-time passenger preferences and historical data, rather than rigidly adhering to predefined transition points. This dynamic approach resolves the contradiction by maintaining safety compliance while adapting to individual passenger needs and comfort levels.
2Adaptability or versatility
If autonomous vehicles frequently transition between autonomy levels in different regions, then adaptability to local conditions is improved, but network load and processing requirements increase
Solution Approach 1:
The system applies local quality by storing and processing autonomous transition region parameters locally in the vehicle's onboard system, rather than continuously querying external servers. This allows region-specific adaptation while minimizing network load by making autonomous decisions based on pre-stored local data.
3Adaptability or versatility
If autonomous vehicles collect and process user preference data and historical mobility patterns, then user experience personalization is improved, but data privacy and system complexity increase
Solution Approach 1:
The system implements self-service by automatically collecting, storing, and processing user preference data and historical mobility patterns without requiring complex external infrastructure. The vehicle's onboard system independently manages data processing, resolving the contradiction by enabling personalization while containing system complexity within the vehicle boundaries.
Data Source
AI summary
A method, apparatus and computer program product are provided for improving user experiences for autonomous driving. In context of a method, the method determines one or more autonomous transition region parameters for a respective autonomous transition region along a route. The method also, based on the one or more autonomous transition region parameters, determines whether an action is to be performed by a vehicle in accordance with user preference data associated with a user. The method also causes the vehicle to perform the action in accordance with a determination that the action is to be performed by the vehicle.