Two-Wheeled Vehicle Pushing Assistance Using Driver Posture Detection
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Solution Overview
Problem
Current driving support technologies for two-wheeled vehicles fail to accurately detect a driver's intention to push the vehicle, leading to inadequate assistance, especially when the driver's posture varies by proficiency and environment, resulting in inefficient speed adjustment and increased burden on the driver, particularly when pushing a large vehicle or on inclined roads.
Innovation Solution
A driving support device that includes a driver posture detecting circuitry, a vehicle pushing intention determining circuitry, a target vehicle pushing assistance speed calculating circuitry, a vehicle pushing assistance permission determining circuitry, and a vehicle pushing assistance circuitry, which use a driver head portion position detecting device to determine the driver's posture and vehicle state, allowing for appropriate assistance and speed adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a two-wheeled vehicle wheel rotation sensor or seat switch is used to detect driver pushing intention, then the detection can be implemented, but the detection accuracy is insufficient when driver posture varies by proficiency and environment
Solution Approach 1:
The system dynamically adapts the detection thresholds and parameters based on the detected driver posture. Different posture patterns (experienced driver posture with both hands on handlebar, inexperienced driver posture with one hand on handlebar and one on seat, pushing posture with both hands on seat) have different detection criteria. This allows the system to accurately detect pushing intention across various driver proficiencies and environmental conditions.
Solution Approach 2:
The system changes detection parameters based on the detected posture state. When an experienced driver posture is detected, the system uses one set of detection parameters; when an inexperienced driver posture is detected, it switches to another set. This parameter adaptation enables accurate detection despite posture variations, resolving the contradiction between detection accuracy and posture adaptability.
2Ease of operation
If vehicle pushing support control is provided based on fixed posture assumptions, then control can be implemented, but the driver burden increases when the assumed posture does not match the actual posture
Solution Approach 1:
The system continuously monitors driver posture during vehicle pushing and provides feedback control. Based on the detected posture, the system adjusts the degree of automatic control and speed management. This feedback mechanism ensures that the support control remains effective and reliable regardless of the driver's actual posture, preventing the mismatch between assumed and actual postures from reducing support effectiveness.
Solution Approach 2:
The control system dynamically adjusts its behavior based on the detected driver posture. For experienced drivers with both hands on the handlebar, the system provides a certain level of support; for inexperienced drivers or those in pushing postures, it adjusts the control parameters accordingly. This dynamic adaptation maintains both ease of operation and reliability across different scenarios.
3Speed
If the driver manually adjusts vehicle speed during pushing, then speed control is possible, but the driver burden increases due to the difficulty of accelerator operation while supporting the vehicle
Solution Approach 1:
The system implements automatic speed management during vehicle pushing based on the detected driver posture. When a pushing posture is detected, the system automatically controls the vehicle speed without requiring manual accelerator operation. This self-service approach eliminates the need for the driver to operate the accelerator while supporting the vehicle, significantly reducing the driver burden while maintaining speed control capability.
4Ease of manufacture
If a seat switch is used to detect pushing state, then detection can be implemented, but the detection fails when the driver pushes a region where the seat switch does not exist
Solution Approach 1:
The system uses the driver head portion position detecting device to detect multiple types of information: driver posture, pushing intention, and pushing state. This multi-functional detection approach replaces the limited seat switch functionality with a more comprehensive detection system that can identify pushing actions regardless of the specific contact point on the vehicle, thereby improving detection coverage while maintaining ease of manufacture through a single detection device.
Data Source
AI summary
The posture of the driver is detected from the driver head portion, and the detected value and the driver mounting determination value are used to determine that the driver is pushing the vehicle and obtain the vehicle pushing command value. Converts the vehicle pushing command value to the target vehicle pushing assistance vesicle speed, determines whether vehicle pushing assistance can be performed based on the driver's posture and the vehicle condition, and outputs the vehicle pushing assistance permission determination. Then, from the target vehicle pushing assistance vehicle speed and the vehicle pushing assistance permission determination, the control amount for the vehicle power source that assists the vehicle pushing is calculated and output.