Autonomous Vehicle Teleoperation for False Positives and Video Bandwidth
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Solution Overview
Problem
Autonomous vehicles face challenges in handling uncommon and irregular conditions, such as construction-related lane closures or emergency vehicles, due to false positive detections by sensors, requiring efficient teleoperations systems to safely and reliably manage these situations.
Innovation Solution
A teleoperations system that allows remote operators to override false positive detections and dynamically adjust camera feed quality based on vehicle context, ensuring safe vehicle operation and reducing network data usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a high recall detector is used to detect conditions in the autonomous vehicle, then false negative detections are reduced, but false positive detections increase
Solution Approach 1:
A teleoperations system acts as an intermediary between the autonomous vehicle's detector and the final decision-making process. When the detector identifies a condition (potentially a false positive), the system communicates this to a remote operator who can verify the condition using additional context data and communication with other vehicles, thereby resolving the detection precision issue without reducing recall
2Reliability
If teleoperations system communicates with autonomous vehicle over wireless network, then remote operator can verify detected conditions, but network bandwidth is consumed
Solution Approach 1:
The system applies different communication qualities to different data types based on their verification needs. Critical verification data receives higher bandwidth allocation, while less critical data uses lower bandwidth. The system also dynamically adjusts video quality based on current context to optimize bandwidth usage while maintaining verification reliability
3Measurement precision
If autonomous vehicle streams high quality video feeds to teleoperations system, then operator can better verify conditions, but network data usage increases
Solution Approach 1:
The video streaming quality is made dynamic rather than static. The system adjusts video quality parameters (resolution, frame rate, compression) based on the current context, the specific verification needs, and available network bandwidth. This allows the system to maintain high verification quality when needed while conserving bandwidth during normal operation
Data Source
AI summary
A teleoperations system may be used to selectively override conditions detected by an autonomous vehicle to enable the autonomous vehicle to effectively ignore detected conditions that are identified as false positives by the teleoperations system. Furthermore, a teleoperations system may be used to generate commands that an autonomous vehicle validates prior to executing to confirm that the commands do not violate any vehicle constraints for the autonomous vehicle. Still further, an autonomous vehicle may be capable of dynamically varying the video quality of one or more camera feeds that are streamed to a teleoperations system over a bandwidth-constrained wireless network based upon a current context of the autonomous vehicle.