Autonomous Vehicle Behavior Display for Passenger Maneuver Awareness
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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 maneuvers and alerting passengers in advance before the actual maneuvers occur. The graphical user interface displays predicted vehicle behaviors and potential comfort impacts ahead of time, allowing passengers to mentally prepare for upcoming actions such as braking or turning, thereby reducing the negative impact on comfort while maintaining safety.
2Productivity
If the vehicle operates autonomously without human intervention, then productivity is improved, but public trust deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring passenger reactions and comfort levels during autonomous operation. The graphical user interface provides real-time information about vehicle maneuvers, sensor detections, and system decisions, allowing passengers to understand and trust the autonomous system's behavior. This transparency builds public trust while maintaining autonomous operational efficiency.
Solution Approach 2:
The graphical user interface serves as an intermediary between the autonomous vehicle system and the passenger. It translates complex sensor data, processor decisions, and vehicle maneuvers into comprehensible visual representations, bridging the gap between autonomous operation and passenger understanding, thereby building trust without compromising productivity.
3Reliability
If the vehicle provides detailed information about maneuvers to passengers, then public trust is improved, but device complexity increases
Solution Approach 1:
The information system is segmented into distinct functional components: sensor data processing, maneuver prediction, comfort impact assessment, and graphical display generation. Each component handles specific tasks independently, allowing the system to provide comprehensive information without overwhelming complexity. The graphical user interface presents information in organized, manageable segments that are easy for passengers to understand.
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.