Vehicle Trajectory Prediction Bandwidth Reduction
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Solution Overview
Problem
Existing vehicle communication systems require high bandwidth for frequent updates of position and speed information, leading to potential errors in route prediction and increased bandwidth usage, especially during regular travel maneuvers that cannot be accurately described by simple status parameters.
Innovation Solution
A method and system where a vehicle estimates and sends trajectory information, including future waypoints and confidence levels, only when the actual position deviates significantly from the predicted trajectory, using polynomials to describe the trajectory and tolerance ranges to represent uncertainty, thereby reducing transmission frequency and minimizing coordination errors between transmitter and receiver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If position and speed information is sent periodically with high frequency, then the route prediction accuracy is improved, but the bandwidth consumption increases
Solution Approach 1:
The patent extracts and transmits only the essential trajectory information (future position predictions) rather than continuously sending all status parameters (position, speed, direction). By sending pre-calculated trajectory data at lower frequencies, the system maintains prediction accuracy while reducing bandwidth consumption.
Solution Approach 2:
The vehicle performs preliminary calculations to predict its future trajectory and sends this pre-computed information to other road users. This allows receivers to directly use the predicted positions without performing their own complex predictions, maintaining accuracy while reducing communication frequency.
2Device complexity
If simple status parameters (position, direction, speed) are used for route prediction, then the communication complexity is reduced, but the accuracy of describing complex maneuvers deteriorates
Solution Approach 1:
The patent changes the parameter representation from basic status parameters (position, speed, direction) to trajectory parameters (future position predictions at multiple time points). This transformation allows complex maneuvers to be accurately described while keeping communication relatively simple, as the trajectory information encapsulates the vehicle's intended path.
3Adaptability or versatility
If different calculation rules are used for trajectory estimation at transmitter and receiver, then the system flexibility is increased, but the route prediction consistency deteriorates
Solution Approach 1:
The transmitter sends its internally calculated trajectory predictions directly to the receiver, effectively copying the transmitter's prediction model output. This ensures both parties have identical trajectory information, eliminating inconsistencies that would arise from using different calculation rules, while still allowing each system to maintain its own flexible prediction algorithms.
Data Source
AI summary
A method for sending messages from a vehicle to a receiver during travel by the vehicle is disclosed. The method includes (i) estimating a first future trajectory of the vehicle, (ii) sending trajectory information about the first trajectory to the receiver, (iii) determining a deviation of an actual position of the vehicle from a position predicted by the first trajectory, (iv) estimating a second future trajectory, and (v) sending trajectory information about the second trajectory to the receiver if the deviation is greater than a threshold value.