Predictive Display for UGV Tele-operation Latency
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Solution Overview
Problem
High latency in wireless communication during tele-operation of unmanned ground vehicles (UGVs) degrades operator performance, requiring a method to mitigate delays and provide predictive feedback to maintain control stability and accuracy.
Innovation Solution
A state estimator and predictive display system that uses a feed-forward vehicle model and perspective transformation techniques to predict the UGV's camera view at a future time, accounting for communication delays, allowing for immediate feedback to the operator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If tele-operation is performed over long distances with wireless communication, then operational range is extended, but latency increases causing degraded operator performance
Solution Approach 1:
The system performs preliminary actions by predicting the future state of the UGV and pre-processing the predicted video frame before transmission. The predictive display generates an estimated future video frame based on current state and predicted trajectory, then transmits this predicted frame along with trajectory data. This allows the operator to see where the vehicle will be rather than where it is, effectively compensating for communication latency without requiring faster transmission speeds.
2Loss of time
If video transmission delay is reduced, then operator response time improves, but transmission bandwidth requirements increase
Solution Approach 1:
The system extracts only the essential trajectory state data from the full video stream and transmits this compact representation separately. Instead of transmitting complete high-resolution video frames at high rates, the system transmits condensed trajectory data that can be used to reconstruct predictive displays on the operator side. This separation allows efficient use of bandwidth while maintaining the ability to provide low-latency visual feedback.
3Measurement precision
If predictive display algorithms are made more complex, then prediction accuracy improves, but computational load and processing time increase
Solution Approach 1:
The predictive display system segments the prediction task into distinct modules: trajectory prediction based on control inputs, state estimation from sensor data, and video frame synthesis from predicted states. Each module handles a specific aspect of the prediction problem independently, allowing for optimized computation in each segment. This modular approach improves prediction accuracy while keeping individual computational tasks manageable and parallelizable.
Data Source
AI summary
A method for generating a predictive image to enable remote control of an unmanned ground vehicle (UGV) under conditions of long communications latency. An original digital image of the UGV environment (from a UGV-mounted camera) is projected forward such that a lower portion falls on a ground plane defined to approximate the UGV's travel surface and an upper portion falls on a far plane defined approximately normal to the ground plane and forward of the UGV. A perspective transformation technique used to generate the predicted image separates the ground plane image from the far plane image. Two separate mathematical perspective transforms are defined and applied, one for the lower (ground plane) part of the image, and one for the upper (far plane) part of the image. The resulting predicted upper and lower image are rejoined to form the complete predicted image, which may then be presented on a video screen.