Remote Teleoperation Paths for Autonomous Vehicle Lane Closures
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Solution Overview
Problem
Autonomous vehicles face challenges in handling uncommon and dynamic conditions such as construction-related lane closures, funeral processions, and emergency vehicles, requiring efficient and reliable teleoperations systems to ensure safe and reliable operation.
Innovation Solution
A teleoperations system that communicates with autonomous vehicles to modify mapping data and generate virtual paths, allowing the vehicle to adjust its trajectory based on operator inputs, while validating these inputs to ensure safety and compliance with road boundaries and traffic rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If teleoperations system provides direct control to autonomous vehicle, then vehicle can handle uncommon conditions reliably, but system complexity and response time increase
Solution Approach 1:
The teleoperations system is segmented into multiple functional modules: context data reception module, validation module, virtual path generation module, and mapping data modification module. Each module handles specific aspects of teleoperations independently, reducing overall system complexity while maintaining comprehensive control capabilities for uncommon conditions.
Solution Approach 2:
The system performs preliminary validation of teleoperations inputs against predefined constraints (road boundaries, traffic rules, safety requirements) before executing any control actions. This advance checking mechanism ensures reliable handling of uncommon conditions while preventing invalid operations, thereby reducing the need for complex real-time decision-making in the teleoperations system.
2Reliability
If teleoperations system validates all operator inputs, then safety is improved, but processing time and system complexity increase
Solution Approach 1:
The system establishes predefined constraints and validation rules for teleoperations inputs before operation begins. These include road boundary definitions, traffic rule parameters, and safety requirement thresholds. During operation, inputs are checked against these pre-established criteria, enabling rapid validation without complex real-time analysis, thus improving safety while minimizing processing time.
3Productivity
If autonomous vehicle relies on pre-collected mapping data, then navigation efficiency is improved, but adaptability to dynamic conditions deteriorates
Solution Approach 1:
The mapping data structure is designed to be dynamic and modifiable during vehicle operation. The system receives teleoperations inputs that can add, modify, or remove mapping elements (such as temporary road closures, construction zones, or event-related restrictions). This dynamic updating capability allows the vehicle to maintain navigation efficiency using structured mapping data while simultaneously adapting to dynamic conditions through real-time modifications to the mapping information.
Data Source
AI summary
A teleoperations system may be used to modify elements in the mapping data used by an autonomous vehicle to cause the autonomous vehicle to control its trajectory based on the modified elements. In addition, in some instances, a teleoperations system may be used to generate virtual paths of travel for an autonomous vehicle based upon teleoperations system virtual path suggestion inputs.