Vehicle Driving Image Prediction for Network-Latency Remote Control
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Solution Overview
Problem
Vehicle-to-everything services face accuracy issues due to network latency, resulting in a hysteretic driving image at the remote control terminal, which leads to low accuracy in controlling vehicles safely and reliably.
Innovation Solution
A vehicle data processing method that calculates and generates a driving image representing the vehicle's condition at a later moment by accounting for transmission duration, ensuring the image accurately reflects the current driving status, thereby improving control accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If driving data is transmitted from vehicle to remote control terminal over network, then remote vehicle control is enabled, but network latency causes driving image hysteresis reducing control accuracy
Solution Approach 1:
The system performs preliminary actions by calculating predicted driving data for future moments before the actual driving image is captured and transmitted. The remote control terminal predicts what the driving scene will look like at a future time point based on current driving data and historical movement patterns, enabling the operator to see a non-hysteretic, predicted driving image that compensates for network transmission delays.
Solution Approach 2:
The system creates a copied representation of the driving scene through predicted driving data. Instead of transmitting only the actual captured image which suffers from latency, the system generates a predicted copy of what the scene will look like at the future moment, allowing the remote operator to interact with a more accurate representation of the current driving state.
2Loss of information
If driving image is transmitted in real-time over network, then remote control terminal can view current driving condition, but transmission duration causes time delay making control inaccurate
Solution Approach 1:
The system performs preliminary calculation of predicted driving data for future moments before the actual driving image becomes available. By predicting the driving scene at a future time point based on current data and historical patterns, the system eliminates the time loss associated with waiting for actual image transmission while maintaining complete driving condition information.
3Measurement precision
If actual driving image is displayed at remote control terminal, then true driving condition is shown, but hysteresis reduces control accuracy
Solution Approach 1:
The system performs preliminary prediction to generate driving images for future moments before the actual images are captured. By calculating what the driving scene will look like at a future time point based on current driving data and historical movement patterns, the system provides a predicted image that is more reliable for control purposes than the hysteric actual image.
Solution Approach 2:
The system creates a predicted copy of the future driving scene that compensates for hysteresis. This predicted copy serves as a more reliable basis for control decisions than the actual current image, which becomes outdated by the time it reaches the remote terminal.
Data Source
AI summary
A vehicle data processing method includes: obtaining transmission duration for transmitting first driving data from a vehicle to a vehicle control terminal, the first driving data representing a driving condition of the vehicle at a first moment; calculating, based on the transmission duration and the first driving data, second driving data for representing a driving condition of the vehicle at a second moment, the second moment being later than the first moment; and generating, based on the second driving data, a driving image representing the driving condition of the vehicle at the second moment.