Autonomous Vehicle Passenger Visualization System
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Solution Overview
Problem
Passengers in autonomous vehicles experience discomfort and exhibit unexpected behavior due to the loss of control when the vehicle is operated by a computer, particularly when anticipating potential threats, which poses technical challenges for service providers to minimize these issues.
Innovation Solution
A system that collects sensor and contextual data to predict future events and generates a simulation of these events, presenting them to passengers through a user interface, such as augmented or virtual reality, to enhance their anticipation and confidence in the vehicle's decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles are operated by computer without human intervention, then productivity and automation are improved, but passenger comfort and control perception deteriorate
Solution Approach 1:
The system provides continuous visual feedback to passengers through a display showing simulated future events and actual sensor data. This feedback loop allows passengers to see what the autonomous vehicle is detecting and planning, transforming the black-box operation into a transparent process that reduces discomfort while maintaining full automation.
Solution Approach 2:
The patent introduces an intermediary visualization system that mediates between the autonomous vehicle's computer operations and the passenger's perception. The display acts as a mediator, translating complex sensor data and future event predictions into comprehensible visual representations that enhance passenger understanding and comfort without requiring human intervention in vehicle control.
2Ease of operation
If passengers anticipate potential threats without accurate information, then psychological comfort deteriorates, but providing detailed future event information increases system complexity
Solution Approach 1:
The system applies partial action by selectively displaying only the most relevant future events and sensor data to passengers. Rather than overwhelming passengers with all possible information, the system prioritizes displaying threats and events that are most likely to impact passenger comfort and safety, processing complex data internally but presenting a focused, manageable visualization.
Solution Approach 2:
The visualization system segments complex future events into discrete, comprehensible components. The display breaks down predicted trajectories, sensor detections, and potential threats into separate visual elements that passengers can process individually, reducing the perceived complexity while maintaining comprehensive information delivery.
3Reliability
If passengers perceive loss of control, then unexpected behavior increases, but providing more control information may reduce automation effectiveness
Solution Approach 1:
The system performs preliminary action by displaying simulated future events before they actually occur. This allows passengers to mentally prepare for upcoming maneuvers or potential threats, reducing surprise and unexpected behavior. The advance visualization of vehicle trajectories and detected objects enables passengers to understand the autonomous system's intentions before executing actions.
Data Source
AI summary
An approach is provided for visualizing future events to a passenger of a vehicle. The approach involves collecting sensor data, contextual data, or a combination thereof during an operation of a vehicle. The approach also involves processing the sensor data, the contextual data, or a combination thereof to predict a future event that is expected to occur proximate to the vehicle. The approach further involves generating a simulation of the future event. The approach further involves presenting the simulation in a user interface.