Autonomous Vehicle Teleoperation via Intermediate Position Guidance
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating through unpredictable real-world conditions, such as traffic, emergency vehicles, and obstacles, which can prevent them from reaching their destinations due to algorithmic limitations and the need for additional guidance.
Innovation Solution
The implementation of a teleoperation system where an autonomous vehicle transmits sensor data to a control center, which analyzes the situation and provides guidance instructions, including positional and orientational adjustments, to help the vehicle navigate through challenging conditions, allowing it to continue its journey safely and efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate completely autonomously using algorithmic navigation, then automation level is improved, but reliability deteriorates when facing unpredictable real-world conditions
Solution Approach 1:
A control center acts as an intermediary between autonomous vehicles and human operators. The control center receives sensor data from vehicles, processes it through a graphical user interface, and enables remote operators to provide real-time guidance when vehicles encounter situations beyond their algorithmic capabilities, thus maintaining high automation while ensuring reliability
2Reliability
If teleoperation guidance is provided to autonomous vehicles, then reliability is improved, but device complexity increases
Solution Approach 1:
The control center serves multiple functions: it monitors multiple vehicles simultaneously, processes sensor data, provides teleoperation guidance, and maintains communication protocols. This multi-functional design improves reliability without proportionally increasing complexity, as a single centralized system handles diverse operations
3Reliability
If real-time sensor data transmission is implemented, then navigation reliability is improved, but energy consumption increases
Solution Approach 1:
Sensor data transmission occurs periodically or event-driven rather than continuously. The vehicle transmits data at intervals or when specific conditions are met, providing real-time guidance reliability while reducing energy consumption compared to constant transmission
Data Source
AI summary
The present disclosure is directed to systems and techniques for providing a teleoperation instruction to an autonomous vehicle. While the autonomous vehicle is travelling to a destination, the autonomous vehicle may encounter a situation preventing the autonomous vehicle from travelling to the destination. A control center may receive information from the autonomous device and provide instructions with limited controls for the autonomous vehicle to navigate to an intermediate position. In such an intermediate position, the may make way for an emergency vehicle, obtain additional sensor data for continued autonomous planning, signal intent to other objects in the environment, and the like.