Remote Supervision Zones for Autonomous Vehicle Road Drivability
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Solution Overview
Problem
Autonomous vehicles often encounter unforeseen traffic situations that require human intervention to ensure road drivability, as their programming may not account for all possible road conditions, leading to potential operational difficulties without direct human oversight.
Innovation Solution
A remote system for autonomous vehicles comprising a receiver, controller, and display device that monitors road information, creates supervision zones, and allows for operator intervention by displaying real-time data and enabling rerouting when road conditions impact drivability, facilitating human oversight and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicle programming is used to control the vehicle, then automation level is improved, but the ability to handle unforeseen traffic situations deteriorates
Solution Approach 1:
A remote operator center serves as an intermediary between the autonomous vehicle and human operators. The center receives real-time data from the vehicle, creates supervision zones for problematic areas, and provides remote human judgment when the autonomous system encounters unforeseen situations, thus bridging the gap between automation and adaptability
Solution Approach 2:
The system performs preliminary actions by pre-defining supervision zones and criteria for human intervention before the vehicle encounters problematic situations. Road segments are pre-identified as potential supervision zones based on historical data and risk assessment, allowing the system to prepare appropriate responses in advance
2Reliability
If remote supervision zones are created for all road segments, then safety is improved, but system complexity increases
Solution Approach 1:
Instead of applying uniform supervision to all road segments, the system applies local quality by creating supervision zones only for specific road segments where unforeseen situations are likely to occur. The remote operator center dynamically activates supervision based on the vehicle's location and real-time conditions, focusing resources where they are most needed
Solution Approach 2:
The system implements partial action by providing remote supervision only for critical segments rather than continuous supervision throughout the entire route. This selective approach maintains safety for high-risk areas while avoiding the complexity of comprehensive system-wide supervision
3Productivity
If real-time data transmission is implemented, then operational efficiency is improved, but energy consumption increases
Solution Approach 1:
The system uses periodic action by transmitting data at specific intervals rather than continuously. The vehicle sends telemetry data, sensor information, and status updates at predetermined time intervals or when specific events occur, reducing energy consumption while maintaining operational efficiency through timely information exchange
Data Source
AI summary
A remote system for an autonomous vehicle, includes a receiver, a controller, and a display device. The receiver is configured to receive road information. The controller is programmed to receive input related to the road information and create a supervision zone when the road information impacts road drivability. The display device is disposed at a control center area and configured to display a visual indication on a map of the supervision zone.