Autonomous Vehicle Trip-State Interfaces for Adaptive Passenger Interaction
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Solution Overview
Problem
Existing autonomous vehicle systems lack efficient methods to dynamically adapt and communicate with passengers based on the state of a trip, leading to suboptimal user experience and resource inefficiencies.
Innovation Solution
A state-based autonomous-vehicle operation system that determines the current trip state and adjusts interfaces and vehicle parameters accordingly, utilizing computing devices onboard and separate from the vehicle to provide tailored passenger interactions and optimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the autonomous vehicle system continuously monitors and processes all passenger actions and vehicle states, then the passenger experience can be enhanced through personalized interfaces, but the computational resources and energy consumption increase significantly
Solution Approach 1:
The patent segments the trip into distinct states (e.g., pickup, transit, destination) and divides the interface adaptation into state-specific rendering tasks. The computing system processes only the subset of passenger actions and vehicle parameters relevant to the current state, rather than continuously analyzing all possible data streams. This segmentation reduces computational overhead while maintaining personalized adaptation throughout the journey.
Solution Approach 2:
The system implements periodic state determination and interface rendering updates synchronized with trip milestones rather than continuous processing. The computing system evaluates passenger actions and determines current trip states at discrete intervals (e.g., upon detecting specific passenger behaviors or reaching geographic waypoints), then renders appropriate interfaces only at these periodic moments, significantly reducing energy consumption compared to continuous monitoring.
2Adaptability or versatility
If the system renders multiple different interfaces for different computing devices simultaneously, then passenger customization is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent applies local quality by rendering different interface configurations tailored to each computing device's specific characteristics (e.g., smartphone vs. tablet vs. in-vehicle display) based on the current trip state. Each device receives customized interface data optimized for its form factor, capabilities, and context, rather than a uniform interface across all devices. This approach enhances customization while managing complexity through state-based template selection.
Solution Approach 2:
The system uses copying by generating interface representations from standardized templates specific to each trip state, then distributing these copied interface definitions to multiple computing devices. Rather than creating entirely unique interfaces for each device, the system copies and adapts state-specific interface templates, reducing the overall complexity of interface management while maintaining device-specific customization through parameter substitution.
3Ease of operation
If the autonomous vehicle processes and responds to all passenger actions in real-time, then the responsiveness and user satisfaction improve, but the processing time and computational load increase
Solution Approach 1:
The patent implements preliminary action by pre-defining trip states and their corresponding interface configurations before the actual trip occurs. The system establishes a framework of possible states (pickup, en route, approaching destination, etc.) and their associated interface renderings in advance. During the trip, the computing system only needs to determine which pre-defined state is currently active and retrieve the corresponding pre-prepared interface, significantly reducing real-time processing requirements while maintaining responsiveness.
Data Source
AI summary
The present disclosure is directed to state-based autonomous-vehicle operations. In particular, the methods, devices, and systems of the present disclosure can: determine, based at least in part on one or more actions of a passenger associated with a trip of an autonomous vehicle, a current state of the trip from amongst a plurality of different predefined states of the trip; identify, based at least in part on the current state of the trip, one or more computing devices associated with the passenger; generate, based at least in part on the current state of the trip, data describing one or more interfaces for display by the computing device(s) associated with the passenger; and communicate, to the computing device(s) associated with the passenger, the data describing the interface(s) for display.