V2V Vehicle Positioning Around Ground-Reflection Null Zones
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Solution Overview
Problem
Conventional vehicle positioning techniques fail to account for null positions caused by ground reflections in V2V connections, leading to degraded communication quality and suboptimal vehicle operations.
Innovation Solution
A system that determines the quality of the V2V connection and identifies whether the host vehicle's position is within a predicted null position, adjusting its position to maintain a reliable connection by advancing or retreating to avoid these null positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional vehicle positioning techniques are used, then the vehicle can maintain a simple following position, but the V2V connection quality degrades due to ground reflections causing null positions
Solution Approach 1:
The system calculates predicted null positions in advance based on geometric relationships between antennas and ground reflection points. By determining these null positions before the vehicle enters them, the system can proactively adjust the following distance to avoid connection degradation, rather than reacting after the problem occurs.
Solution Approach 2:
The system dynamically adjusts the following distance between vehicles based on real-time calculation of null positions. Instead of maintaining a fixed following distance, the positioning system continuously adapts the optimal distance to keep the host vehicle outside predicted null positions, ensuring reliable V2V connection while accounting for changing vehicle heights and configurations.
2Reliability
If the host vehicle adjusts its position to avoid null positions, then the V2V connection reliability improves, but the vehicle operation complexity increases
Solution Approach 1:
The system automatically calculates null positions and determines optimal following distances without requiring driver intervention. The positioning system self-adjusts the vehicle's following position based on calculated parameters such as antenna heights, vehicle configurations, and geometric relationships, making the complexity invisible to the user while maintaining simple operation.
Solution Approach 2:
The system uses feedback from V2V connection quality measurements to validate and refine null position predictions. By monitoring actual connection quality and comparing it with predicted null position locations, the system can adjust its calculations and improve accuracy over time, ensuring reliable operation while maintaining ease of use.
3Reliability
If the system calculates predicted null positions to avoid connection degradation, then the communication reliability improves, but the computational requirements and processing time increase
Solution Approach 1:
The system calculates predicted null positions using pre-established geometric formulas based on antenna heights and vehicle configurations. By performing these calculations in advance using simple geometric relationships rather than complex real-time simulations, the system minimizes processing time while maintaining accurate null position prediction for reliable communication.
4Ease of operation
If the host vehicle maintains a fixed following position, then the vehicle control is simple, but the V2V connection may fall into null positions causing quality degradation
Solution Approach 1:
The system transforms the static following position into a dynamic parameter that automatically adapts to avoid null positions. By calculating optimal following distances based on vehicle-specific parameters and ground reflection geometry, the system maintains simple control interfaces while internally adjusting positions to ensure reliable V2V connections throughout varying driving conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach ensures more reliable V2V connections, enhancing the performance of downstream operations such as adaptive cruise control and autonomous driving by maintaining connection quality above a threshold.
Implementation Method 1
One source of poor V2V connections is ground reflections. At certain distances, a receiving vehicle may receive a direct-path transmission (e.g., directly from an antenna of a transmitting vehicle) concurrently with a road-surface reflected transmission (e.g., an echo of the direct-path transmission).
Implementation Method 2
Receiving both transmissions can lead to a decreased reliability of the V2V connection.
Data Source
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AI summary
The invention relates to determining whether a quality of a vehicle-to-vehicle (V2V) connection between a host vehicle (102) and a target (104) satisfies a threshold that corresponds to a reliable connection between the host vehicle and the target. Specifically, responsive to determining that a quality of a V2V connection between the host vehicle and a target does not satisfy a threshold, a following position (106) of the host vehicle relative to the target and whether the following position is within a predicted null position of the V2V connection and closer to the target than a selected position are determined. The following position is then controlled based on whether the following position is within the predicted null position and whether the following position is closer to the target than the selected position. By controlling the following position based on the quality of the V2V connection and the null position, more-reliable V2V connections may be maintained, thus enabling better performance of downstream operations.