Autonomous Vehicle Roadside Assistance With Validated Remote Control
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Solution Overview
Problem
Autonomous vehicles often require human intervention when they cannot make progress towards their destination due to hardware or software issues, lack of a driver to take control, or passenger requests, necessitating efficient roadside assistance mechanisms.
Innovation Solution
A method that assigns a technician to the vehicle, enabling communication through server computing devices to change the vehicle's state, including disengaging autonomous driving mode and providing instructions for manual control, while ensuring validation and security of commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate in fully autonomous mode without a human driver, then automation level and productivity are improved, but the ability to handle unexpected situations and require human intervention deteriorates
Solution Approach 1:
The patent introduces a remote operator as an intermediary who can take control of the autonomous vehicle when unexpected situations arise. The remote operator receives vehicle data through a communication system and can issue commands to the vehicle, serving as a mediator between the autonomous system and human intervention needs.
Solution Approach 2:
The system establishes a communication infrastructure and remote operator readiness in advance before the vehicle encounters problems. The remote operator is pre-positioned and the communication channel is pre-established, enabling rapid response when the autonomous vehicle needs human intervention.
2Adaptability or versatility
If autonomous vehicles are equipped with roadside assistance systems and remote communication capabilities, then the ability to receive human intervention is improved, but device complexity increases
Solution Approach 1:
The communication system serves multiple functions: it transmits vehicle status data to remote operators, receives commands from remote operators, and validates technician credentials. This multi-functional approach reduces the need for separate dedicated systems for each function.
Solution Approach 2:
The system implements validation feedback mechanisms where remote operators receive confirmation of vehicle status and their commands are validated before execution. This feedback loop ensures reliable communication and proper authorization without requiring overly complex manual verification procedures.
3Ease of operation
If remote operators can directly control vehicle states without validation, then ease of operation is improved, but security and authorization control deteriorate
Solution Approach 1:
The system performs preliminary validation of the remote operator's technician credentials before allowing control of vehicle states. This pre-validation ensures that only authorized personnel can modify vehicle parameters, maintaining security while enabling operational control.
Solution Approach 2:
The validation mechanism provides immediate feedback to the remote operator about their authorization status. If the technician is qualified, the system confirms and enables control; if not, it denies access. This feedback-based approach maintains security while streamlining the authorization process.
Data Source
AI summary
Aspects of the disclosure relate to enabling roadside assistance to a vehicle that requires assistance having an autonomous driving mode. For instance, a technician may be assigned to the vehicle that requires assistance. A signal corresponding to user input at a remote computing device requesting a change to a state of the vehicle may be received. The signal may be based on details of the assigned technician. Based on the validation, an instruction may be sent to the vehicle to change the state of the vehicle.