Autonomous Vehicle Supervisory Control Interface
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating through obstacles or fault modes without human intervention, as they may become stuck or unable to safely change position, requiring manual override for safe operation.
Innovation Solution
A user interface system that allows passengers to control autonomous vehicles via a display device, using interface elements to direct the vehicle along a predetermined path, enabling limited human override for safe movement and overcoming obstacles or fault conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate fully autonomously without human input, then automation level is improved, but ability to handle obstacles and fault modes deteriorates
Solution Approach 1:
The system dynamically adjusts the level of automation based on operational conditions. During normal operation, the vehicle operates in fully autonomous mode with no human input required. When obstacles or fault modes are detected, the system transitions to a semi-autonomous state where a user interface is presented to the passenger, allowing human supervision and intervention while maintaining autonomous operation for routine tasks.
2Productivity
If autonomous vehicles navigate through obstacles autonomously, then productivity is improved, but safety deteriorates
Solution Approach 1:
The system continuously monitors the vehicle's operational status and environment through sensor data. When potential safety risks are detected during autonomous navigation, the system provides feedback by presenting a user interface to the passenger, enabling human supervision. This feedback loop allows the system to maintain high productivity through autonomous navigation while mitigating safety risks through human oversight when needed.
3Object-affected harmful factors
If autonomous vehicles require manual override for safe operation, then safety is improved, but ease of operation deteriorates
Solution Approach 1:
Instead of requiring continuous manual override, the system employs periodic human supervision only when necessary. The autonomous vehicle operates independently during normal conditions, and the user interface is presented periodically or event-driven when obstacles or fault modes are detected. This approach maintains safety through human oversight while preserving ease of operation by eliminating the need for constant human intervention.
4Productivity
If autonomous vehicles use complex processing to navigate obstacles, then navigation capability is improved, but use of energy deteriorates
Solution Approach 1:
The system applies complex processing partially, only when and where needed. During normal autonomous operation, standard navigation algorithms are used with moderate processing requirements. When obstacles or fault modes are detected, the system activates enhanced processing capabilities to handle the specific challenging situation, rather than continuously using maximum processing power. This partial application of excessive computational resources maintains navigation capability while reducing overall energy consumption.
Data Source
AI summary
The present disclosure provides systems and methods for controlling autonomous vehicles. In one example implementation, a method includes providing for display to a passenger of an autonomous vehicle, by a computing system having one or more computing devices, a user interface on a display device. The user interface includes at least one interface element associated with directing movement of the autonomous vehicle. The method includes receiving, by the computing system, a user interaction for a time period directed to the interface element. During the time period, the method includes providing, by the computing system, one or more signals indicative of the user interaction to control the autonomous vehicle to autonomously travel along a predetermined path.