Autonomous Delivery Vehicle Remote Control Under Sensor Impairment
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Solution Overview
Problem
Autonomous and semi-autonomous vehicles face challenges in ensuring safe operation, particularly in unusual environmental conditions, and lack mechanisms for engaging human operators, managing unauthorized passengers, and providing accessibility for individuals with disabilities.
Innovation Solution
The implementation of computer-implemented methods and systems that enable remote control of autonomous vehicles, detect and remove unauthorized passengers, assist individuals with disabilities, and integrate environmental data with extended reality experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous operation features are used to control the vehicle, then operator safety is improved, but the vehicle becomes vulnerable to environmental conditions and sensor impairment
Solution Approach 1:
A remote entity acts as an intermediary between the autonomous vehicle and the environment, receiving sensor data from the vehicle and sending control commands back to the vehicle when environmental conditions impair autonomous operation. This mediator enables continuous safe operation despite fog, heavy rain, or sensor damage by allowing human operators to take control remotely.
Solution Approach 2:
The control system is segmented into multiple levels: autonomous operation for normal conditions, remote human operator intervention for impaired conditions, and local human operator backup. This segmentation allows the system to switch between different control modes based on environmental conditions, maintaining reliability while adapting to varying operational contexts.
2Adaptability or versatility
If the vehicle switches from autonomous mode to manual mode during malfunction, then operational flexibility is improved, but response time may be delayed if no human operator is available
Solution Approach 1:
Human operators are engaged and kept ready during autonomous operation through preliminary actions such as monitoring systems and maintaining communication channels. This ensures that when a malfunction occurs and mode switching is required, operators are already prepared and can take control immediately, eliminating response delays.
Solution Approach 2:
The system implements continuous feedback between the autonomous vehicle and remote human operators, providing real-time status information and enabling rapid response to malfunctions. This feedback loop ensures operators are aware of vehicle conditions and can intervene promptly when switching from autonomous to manual mode is necessary.
3Loss of information
If registration information is stored in the vehicle for law enforcement access, then information availability is improved, but security and unauthorized access risks increase
Solution Approach 1:
A secure communication system acts as an intermediary between law enforcement and the vehicle's registration information. This intermediary establishes authenticated communication channels, verifying the identity and authority of law enforcement officers before allowing access to vehicle information, thereby preventing unauthorized access while maintaining information availability.
Solution Approach 2:
Different levels of information access are provided to different entities based on their authorization. Law enforcement officers with proper credentials receive full registration information, while unauthorized users receive no information or only public information. This local quality approach ensures security while maintaining necessary information availability.
4Productivity
If the vehicle operates fully autonomously without passengers, then operational efficiency is improved, but the ability to handle emergencies and unauthorized passengers is reduced
Solution Approach 1:
A remote monitoring and control system serves as an intermediary that enables fully autonomous operation while maintaining emergency response capability. The system monitors vehicle conditions and can dispatch human operators or take control remotely when emergencies or unauthorized passengers are detected, combining the efficiency of autonomous operation with the reliability of human intervention when needed.
Data Source
AI summary
Autonomous vehicle methods and systems are described herein for communicating with an autonomous or semi-autonomous vehicle to remotely control operation of the vehicle, to detect and remove unauthorized passengers, to deliver loads, to receive registration information for the vehicle, to provide accessibility information to the vehicle, and/or to receive sensor or other environmental data to integrate with an electronic game or other extended reality experience.


