Autonomous Vehicle Remote Support Under Unstable Communication
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Solution Overview
Problem
Existing remote support systems for autonomous vehicles do not adequately consider communication and environmental states to restrict remote support functions effectively, leading to potential issues such as delayed timing control during unstable communication or poor visibility.
Innovation Solution
A system that acquires and manages communication and environmental states to restrict remote support functions dynamically, including disabling buttons, adjusting travel routes, and instructing local staff when necessary, to ensure safe and effective operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote support functions are always available, then operator can assist autonomous vehicle in any situation, but incorrect operations may occur when communication is unstable or environmental conditions are poor
Solution Approach 1:
The remote support system dynamically adjusts the availability of remote support functions based on real-time communication state and environmental state. When communication is stable and environmental conditions are favorable, full remote support functions are available. When communication becomes unstable or environmental conditions deteriorate, the system automatically restricts certain remote support functions to prevent incorrect operations, thus resolving the contradiction between operational availability and reliability.
Solution Approach 2:
The system changes the operational parameters of remote support functions based on communication quality metrics (e.g., signal strength, latency) and environmental parameters (e.g., visibility, road conditions). By monitoring these parameters and adjusting remote support accessibility accordingly, the system ensures high reliability while maintaining ease of operation under favorable conditions.
2Reliability
If remote support functions are restricted based on communication and environmental states, then operation safety is improved, but system complexity increases due to dynamic function management
Solution Approach 1:
The system implements continuous feedback loops that monitor communication state and environmental state, automatically adjusting remote support function availability based on this feedback. This closed-loop control approach improves operation safety by preventing incorrect operations under adverse conditions while managing system complexity through automated decision-making algorithms that evaluate multiple parameters and determine appropriate function restrictions.
Solution Approach 2:
The system performs preliminary assessment of communication and environmental states before allowing remote support operations. By evaluating conditions in advance and pre-restricting functions when conditions are unfavorable, the system prevents unsafe operations without requiring complex real-time intervention mechanisms, thus improving safety while keeping system complexity manageable.
3Loss of time
If full remote support is provided without restrictions, then response time is fast, but safety risks increase in poor communication or environmental conditions
Solution Approach 1:
The system dynamically adjusts remote support availability based on real-time conditions. When communication is stable and environmental conditions are good, full remote support functions are immediately available, ensuring fast response time. When conditions deteriorate, the system automatically restricts functions to eliminate safety risks, thus resolving the contradiction between rapid response and safety by adapting system behavior to current operational context.
Solution Approach 2:
The system applies different levels of remote support availability to different operational contexts. Instead of uniformly restricting or enabling all functions, it selectively applies restrictions based on local conditions (communication quality, environmental factors), allowing fast response where safe while preventing risks where conditions are adverse, thereby balancing response time and safety requirements.
Data Source
AI summary
A remote support system is provided with an acquiring unit that acquires management information for managing at least one of a communication state between an autonomous driving support center and an autonomous driving vehicle at a plurality of locations, and an environmental state in the vicinity of the autonomous driving vehicle at a plurality of locations; and an execution unit that executes an operation for an operator performing a remote support of the autonomous driving vehicle in accordance with at least one of the communication state and the environmental state, the operation restricting a remote support function included in an operator terminal used by the operator.