Motorcycle Rider Assistance During Turns With Body Position Sensing
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Solution Overview
Problem
Conventional rider-assistance systems perform safety operations unnecessarily when a rider intentionally sticks their body out of the lane during turns, leading to a sense of hindrance in driving.
Innovation Solution
A rider-assistance system that identifies approaching objects using a combination of onboard and infrastructure sensors, determines the rider's body position, and assesses collision risk to perform safety operations only when a high collision possibility is detected, incorporating braking, warning, and steering adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the rider-assistance system performs safety operation whenever the rider's body sticks out of the lane, then rider safety is improved, but driving comfort and rider acceptance deteriorate due to unnecessary interventions
Solution Approach 1:
The system changes the parameter of object detection by integrating infrastructure sensor data with onboard sensor data, transforming the detection capability from purely onboard to a combined system. This enables the system to distinguish between intentional lane deviations and actual hazards, reducing unnecessary safety operations while maintaining rider safety.
Solution Approach 2:
The system uses feedback from infrastructure sensors that provide external verification of hazard presence. When infrastructure sensors confirm no hazard exists despite rider body sticking out, the system suppresses unnecessary safety operations, thereby improving driving comfort while maintaining safety.
2Device complexity
If the system uses only onboard detectors, then device complexity is reduced, but detection accuracy deteriorates because onboard detectors may miss objects
Solution Approach 1:
The system merges onboard sensor data with infrastructure sensor data to create a comprehensive detection system. This combination leverages the strengths of both detection sources, improving object detection accuracy by reducing false negatives while the integrated processing architecture manages complexity effectively.
Solution Approach 2:
The system implements a multi-functional detection architecture that can process both onboard sensor data and infrastructure sensor data through a unified processing pipeline. This universal approach allows the same processing logic to handle multiple data sources, improving detection accuracy without proportionally increasing system complexity.
Data Source
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AI summary
To obtain a rider-assistance system capable of providing a rider of a straddle-type vehicle with a sense of comfort and safety during a turn, and a control method for such a rider-assistance system. The present invention provides the rider-assistance system that assists with driving by the rider of the straddle-type vehicle and includes a controller. The controller includes: an object identification section that identifies an object approaching a side of the straddle-type vehicle on the basis of output of a communication device that wirelessly receives information output from infrastructure equipment or another vehicle; a body position information acquisition section that acquires position information of at least a part of a body of the rider on the turning straddle-type vehicle; a collision possibility determination section that determines a collision possibility of the rider with the object identified by the object identification section on the basis of the position information acquired by the body position information acquisition section; and a safety operation performing section that causes the rider-assistance system to perform safety operation in the case where the collision possibility determination section determines that the collision possibility is high.