Vehicle Control Interface for Ambiguous Wheel Rotation States
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Solution Overview
Problem
In autonomous driving systems, accurately determining the moving direction of a vehicle is challenging due to the complexity of interpreting wheel rotation directions, especially when wheels are stationary or when the number of forward and reverse rotations are equal, leading to ambiguity in determining the vehicle's state.
Innovation Solution
A vehicle control interface is introduced to determine the moving direction based on the majority rule of wheel rotations, providing signals to the autonomous driving system indicating 'Standstill', 'Forward', 'Reverse', or 'Undefined' based on wheel speed and rotation data, ensuring accurate state conveyance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous driving system interprets wheel rotation directions to determine vehicle moving direction, then the system can control the vehicle, but ambiguity arises when wheels are stationary or when forward and reverse rotations are equal
Solution Approach 1:
The patent segments the determination of moving direction into distinct cases: (1) when all wheels are stationary, (2) when wheels rotate in the same direction, (3) when wheels rotate in opposite directions with unequal counts, and (4) when wheels rotate in opposite directions with equal counts. This segmentation allows the system to handle each scenario with appropriate logic, resolving the ambiguity problem while maintaining reliability.
Solution Approach 2:
The patent changes the parameter used for determination from simple wheel rotation detection to a comprehensive evaluation including rotation direction, rotation count, and stationary state. By introducing these additional parameters and their relationships, the system accurately determines moving direction even in ambiguous cases where simple rotation detection would fail.
2Measurement precision
If the vehicle control interface provides detailed wheel rotation data to the autonomous driving system, then measurement precision is improved, but the complexity of processing and interpreting this data increases
Solution Approach 1:
The vehicle control interface acts as an intermediary that receives precise wheel rotation data from the vehicle platform and processes it through standardized determination logic. This intermediary layer simplifies the data processing complexity by implementing the segmentation and parameter change principles, converting detailed wheel data into reliable moving direction information for the autonomous driving system.
Data Source
AI summary
When a vehicle control interface receives information indicating “Standstill” from a VP, the vehicle control interface sets a value 2 in a signal indicating an actual moving direction (a signal indicating a moving direction of a vehicle). When the number of wheels rotating in a forward rotation direction is larger than two, the vehicle control interface sets a value 0 in the signal indicating the actual moving direction. When the number of wheels rotating in a reverse rotation direction is larger than two, the vehicle control interface sets a value 1 in the signal indicating the actual moving direction. When the number of wheels rotating in the forward rotation direction is equal to the number of wheels rotating in the reverse rotation direction, the vehicle control interface sets a value 3 in the signal indicating the actual moving direction. The vehicle control interface provides the signal indicating the actual moving direction to an ADK.