Autonomous Vehicle Remote Assistance Triggering
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Solution Overview
Problem
Autonomous vehicles face challenges in effectively requesting remote operator assistance due to varying cellular network performance, which affects the timely and accurate transmission of sensor data, leading to potential delays and reduced resolution of sensor feeds during critical situations.
Innovation Solution
The autonomous vehicle dynamically adjusts its sensitivity threshold for triggering remote operator events based on real-time and historical wireless network performance characteristics, preemptively adjusting connectivity and data allocation to ensure timely and accurate assistance, even under degraded network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle uses a fixed sensitivity threshold for triggering remote operator events, then the system operation is simple, but the timeliness and accuracy of remote operator assistance deteriorates under varying network conditions
Solution Approach 1:
The patent implements dynamic adjustment of the sensitivity threshold based on real-time wireless network performance characteristics. The system continuously monitors network conditions and adapts the threshold accordingly, transitioning from a fixed to a dynamic parameter that responds to environmental changes, thereby resolving the contradiction between reliability and complexity.
Solution Approach 2:
The sensitivity threshold parameter is changed dynamically based on network performance metrics. When network conditions degrade, the threshold is adjusted to trigger remote operator events more readily, ensuring timely assistance while accounting for the increased complexity through structured parameter management.
2Loss of information
If the autonomous vehicle transmits high-resolution sensor data continuously, then the data quality is high, but the network bandwidth consumption and latency increase
Solution Approach 1:
The system transmits sensor data at varying resolutions based on network conditions. Instead of continuously transmitting full-resolution data, it selectively transmits partial data (reduced resolution) when network bandwidth is limited, and full-resolution data when bandwidth is充足, thereby balancing data quality with transmission latency and bandwidth consumption.
Solution Approach 2:
The data transmission rate and resolution are dynamically adjusted according to real-time network performance. The system monitors network conditions and adapts the sensor data transmission characteristics accordingly, implementing a dynamic balance between information quality and transmission efficiency.
3Reliability
If the autonomous vehicle increases the sensitivity threshold for remote operator events, then false triggers are reduced, but the response time to critical situations increases
Solution Approach 1:
The sensitivity threshold is dynamically changed based on network conditions rather than being fixed. When network performance is good, a higher threshold reduces false triggers. When network performance degrades, the threshold is lowered to ensure timely triggering of remote operator events, thus adapting the parameter to balance accuracy and response time.
Solution Approach 2:
The system implements dynamic threshold adjustment that responds to changing network conditions. This dynamic behavior allows the system to optimize between reducing false triggers and ensuring timely response to critical situations, with the threshold adapting in real-time to environmental factors.
Data Source
AI summary
One variation of a method for dynamically querying a remote operator for assistance includes, at an autonomous vehicle: autonomously navigating along a roadway; at locations along the roadway, testing performance of a set of wireless networks; in response to degradation of the set of wireless networks, decreasing a sensitivity threshold for triggering remote operator events at the autonomous vehicle; in response to a condition at the autonomous vehicle exceeding the sensitivity threshold at a particular location along the roadway, triggering a remote operator event; during the remote operator event, transmitting sensor data to a remote computer system via a subset of wireless networks, in the set of wireless networks, based on performance of the set of wireless networks proximal the particular location; and executing a navigational command received from a remote operator via a wireless network in the set of wireless networks.