Situational-Awareness View for Autonomous Vehicle Rider Confidence
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Riders in autonomous vehicles experience anxiety due to a lack of understanding of what the vehicle perceives around it, inhibiting the adoption of dynamic transportation services.
Innovation Solution
A situational-awareness view is displayed on a computing device inside the autonomous vehicle, showing objects and roads within its perception range, generated from autonomous-vehicle sensor data, map data, and third-party data, including graphical representations of objects, roads, and overlay information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate without human drivers, then productivity and automation are improved, but user comfort and psychological security deteriorate due to lack of understanding of vehicle perception
Solution Approach 1:
The system provides continuous feedback to users by displaying real-time sensor data, detected objects, and environmental perception information. This feedback loop allows users to understand what the autonomous vehicle is perceiving and doing, reducing anxiety while maintaining full automation.
Solution Approach 2:
The display system acts as an intermediary between the autonomous vehicle's sensor system and the user. It translates complex sensor data into comprehensible visual representations, bridging the gap between machine perception and human understanding.
2Loss of information
If comprehensive sensor data is displayed to users, then user comfort and understanding are improved, but device complexity and information processing requirements worsen
Solution Approach 1:
The display system segments information by category (detected objects, road conditions, traffic signals, sensor status) and presents them in organized, manageable sections. This segmentation makes complex data comprehensible without overwhelming the user.
Solution Approach 2:
The system transforms complex multi-dimensional sensor data into two-dimensional visual representations on a display screen. By projecting three-dimensional spatial information and multiple sensor inputs onto a flat display, the system makes complex data accessible and understandable.
Data Source
AI summary
In one embodiment, a method includes receiving autonomous-vehicle sensor data from a sensor array of an autonomous vehicle. The autonomous-vehicle sensor data indicates an object in an external environment of the autonomous vehicle. The method further includes determining a confidence score for a classification of the object. The method further includes determining an object graphic with a level of detail to visually represent the object. The level of detail of the object graphic is based on the confidence score. The method further includes providing for display a visual representation the object graphic.