Occupant-Facing Vehicle Display for Autonomous Intent Awareness
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Solution Overview
Problem
In autonomous vehicles, passengers lack clear understanding of the vehicle's intentions and interactions with its surroundings, leading to potential safety concerns due to the lack of transparent communication about the vehicle's decision-making processes.
Innovation Solution
The implementation of a method that uses sensor data to generate visual representations and intent indicators on an in-vehicle display, employing color schemes and image treatments to differentiate between relevant and irrelevant objects, and conveying the vehicle's intentions regarding these objects, thereby enhancing passenger awareness and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the autonomous vehicle operates without human driver input beyond initial destination setting, then automation level and productivity are improved, but passenger understanding of vehicle intentions deteriorates
Solution Approach 1:
The system provides continuous feedback to passengers about the autonomous vehicle's perception and decision-making processes. Sensors detect objects and intentions in the environment, and this information is fed back to passengers through visual displays showing detected objects, highlighted intentions, and decision rationale, making the automated system's reasoning transparent
Solution Approach 2:
The display system acts as an intermediary between the autonomous vehicle's internal decision-making processes and the passenger's understanding. It translates complex sensor data and algorithmic reasoning into comprehensible visual representations that bridge the information gap created by full automation
2Reliability
If the vehicle displays detailed sensor data and processing information, then passenger understanding and safety awareness are improved, but device complexity and information processing load increase
Solution Approach 1:
The display system segments information into distinct, manageable components: sensor data visualizations, detected object representations, highlighted intentions, and decision rationale. This segmentation allows passengers to process different aspects of vehicle reasoning separately rather than overwhelming them with undifferentiated data
Solution Approach 2:
The system applies different visual qualities and highlighting levels to different elements based on their relevance to safety and current vehicle intentions. Critical objects and upcoming actions receive enhanced visual treatment while less relevant information is displayed with lower prominence, optimizing passenger attention allocation
Data Source
AI summary
Aspects of the present disclosure relate to a vehicle for maneuvering an occupant of the vehicle to a destination autonomously as well as providing information about the vehicle and the vehicle's environment for display to the occupant. The information includes a representation of a scene depicting an external environment of the vehicle. The representation of the scene includes a visual representation of the vehicle and a visual representation of objects in an external environment of the vehicle.