Autonomous Vehicle Teleoperation for Remote Map and Path Updates
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Solution Overview
Problem
Autonomous vehicles face challenges in handling uncommon and dynamic environmental conditions, such as construction zones or unexpected events, requiring efficient and reliable teleoperations systems to assist in navigating these situations safely and effectively.
Innovation Solution
A teleoperations system that modifies mapping data and provides virtual path suggestions to autonomous vehicles, allowing remote operators to alter lane closures, speed limits, and suggest paths, while ensuring the vehicle validates these inputs for safety and adherence to environmental constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If teleoperations system provides real-time path suggestions and mapping data modifications to autonomous vehicle, then vehicle's ability to handle dynamic conditions improves, but network dependence and communication requirements increase
Solution Approach 1:
The system pre-processes and validates path suggestions locally before transmission. The autonomous vehicle performs validation checks on received path data to ensure safety constraints are met, reducing the need for continuous network verification and communication overhead.
Solution Approach 2:
A teleoperations system acts as an intermediary between remote operators and the autonomous vehicle. It processes operator inputs, validates them against environmental constraints, and translates them into actionable path suggestions, reducing direct communication requirements between operators and vehicles.
2Adaptability or versatility
If teleoperations system allows operator input to modify mapping data and create virtual paths, then operational flexibility improves, but safety validation requirements and system complexity increase
Solution Approach 1:
The system implements a feedback loop where path suggestions from operators are validated against the vehicle's environmental model and safety constraints. Validation results are fed back to confirm whether the suggested path is safe and compliant, allowing operators to adjust their inputs based on system feedback.
Solution Approach 2:
Validation of operator inputs is performed in advance before the path suggestions are executed. The system checks whether proposed paths violate hard boundaries or safety constraints before transmitting them to the autonomous vehicle, preventing unsafe operations.
3Reliability
If autonomous vehicle receives and validates virtual path suggestions from teleoperations system, then navigation capability in uncommon conditions improves, but processing time and computational requirements increase
Solution Approach 1:
The validation process focuses on critical safety constraints rather than exhaustive verification. The system checks for violations of hard boundaries and essential safety rules, performing sufficient validation to ensure safety without unnecessary computational overhead.
Solution Approach 2:
The autonomous vehicle maintains an up-to-date environmental model in advance, including mapping data and known constraints. When receiving path suggestions, it quickly validates against this pre-loaded model rather than performing comprehensive environmental analysis in real-time.
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.