Autonomous Vehicle GUI Predicting Maneuvers for Passenger Comfort
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Solution Overview
Problem
Public trust in autonomous vehicles is low due to concerns over safety, which may hinder their widespread adoption despite their potential to reduce traffic congestion, accidents, and carbon emissions.
Innovation Solution
A graphical user interface is created using vehicle processors to predict maneuvers and display information to passengers, including representations of the vehicle and objects in the environment, to enhance passenger comfort and trust by providing advance warnings and transparency about vehicle operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle performs maneuvers to avoid collisions, then safety is improved, but passenger comfort deteriorates
Solution Approach 1:
The system performs preliminary actions by predicting future vehicle maneuvers and notifying passengers in advance through the graphical user interface. The processors determine predicted maneuvers based on sensor data and trajectory information, then display notifications to passengers before the maneuvers occur, allowing them to prepare mentally and physically for the upcoming actions.
2Reliability
If the vehicle provides detailed information about maneuvers to passengers, then trust is improved, but information processing complexity increases
Solution Approach 1:
The system extracts only the essential and relevant information about vehicle maneuvers and environmental context, displaying it through the graphical user interface. Rather than presenting all available sensor data and processing details, the system selectively extracts key elements such as predicted maneuvers, object positions, and safety assessments to communicate with passengers, reducing information overload while maintaining trust.
Data Source
AI summary
Techniques are disclosed for creating and presenting a graphical user interface for display of autonomous vehicle behaviors. The techniques include determining a trajectory of a vehicle operating in a real-world environment. Sensors of the vehicle obtain sensor data representing an object in the real-world environment. A maneuver of the vehicle to avoid a collision with the object is predicted based on the sensor data and the trajectory of the vehicle. It is determined that a passenger comfort level of a passenger riding in the vehicle will decrease based on the maneuver of the vehicle. The passenger comfort level is measured by passenger sensors of the vehicle. A graphical user interface is generated including representations of the vehicle, the object, and a graphic, text, or a symbol alerting the passenger of the predicted maneuver. The graphical user interface is transmitted to a display device of the vehicle.