Motorcycle Rider Assistance Using Rear Collision And Stability Indices
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Solution Overview
Problem
Riders of straddle-type vehicles, such as motorcycles, face a high risk of collisions from following vehicles due to limited rear visibility and potential inattention, necessitating a reliable assistance system to enhance safety.
Innovation Solution
A processor-based rider-assistance system that acquires surrounding environment information, including collision and stability indices, to determine the necessity of assistance operations, such as alerts and speed adjustments, to prevent collisions with following vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a rider-assistance system uses only simple obstacle detection to warn riders, then the system structure remains simple, but the reliability of determining assistance operation necessity is insufficient for collisions by following vehicles
Solution Approach 1:
The determination system is segmented into multiple independent evaluation modules: collision possibility evaluation (using collision index value) and relative distance stability evaluation (using stability index value). Each module processes specific aspects of the surrounding environment independently, then their results are combined to make the final determination. This segmentation allows the system to achieve high reliability through comprehensive evaluation while maintaining manageable complexity through modular design.
Solution Approach 2:
The system transforms raw sensor data into two distinct evaluation parameters: collision index value (reflecting collision possibility) and stability index value (reflecting relative distance stability). By changing the parameter representation from raw distance/speed data to these derived indices, the system enables more reliable and intuitive determination of assistance operation necessity, while the standardized parameter transformation process keeps the system complexity controlled.
2Object-affected harmful factors
If the rider operates the vehicle without rearview mirror assistance, then the vehicle structure remains simple, but the rider cannot easily recognize following vehicles and collision risk increases
Solution Approach 1:
The rider-assistance system acts as an intermediary between the rider and the surrounding environment. Instead of requiring the rider to directly observe and assess following vehicles (which would require complex rider attention and interpretation), the system's determination section automatically processes sensor data to evaluate collision possibility and relative distance stability, then provides appropriate assistance operations. This intermediary function reduces collision risk while keeping the system complexity manageable through automated processing.
Solution Approach 2:
The system replaces the mechanical/physical rearview mirror observation mechanism with an electronic sensor-based detection and determination system. Instead of relying on the rider's visual inspection through mirrors, the system uses sensors to detect following vehicles and automatically evaluates collision risk and distance stability, substituting electronic processing for mechanical observation and reducing the rider's cognitive burden while managing overall system complexity.
3Reliability
If the assistance operation is executed based on simple detection, then the response speed is fast, but the operation may be executed in situations where the rider does not pay attention, reducing reliability
Solution Approach 1:
The determination section continuously and preliminarily evaluates both the collision index value and stability index value in advance, even when the rider is not actively paying attention. By performing this dual-parameter evaluation continuously in the background, the system ensures that assistance operations are executed with high reliability based on pre-assessed conditions, while maintaining the capability for fast response when assistance is actually needed.
Solution Approach 2:
The system implements feedback through continuous monitoring and evaluation of the surrounding environment using both collision and stability indices. The determination section constantly updates the assessment of assistance operation necessity based on real-time changes in the environment, providing feedback that ensures reliable execution. This continuous feedback mechanism maintains reliability while enabling fast response when conditions change.
Data Source
AI summary
The present invention obtains a processor and a processing method, a rider-assistance system, and a straddle-type vehicle capable of improving a rider's safety.A processor (20) includes: an acquisition section that acquires surrounding environment information about a straddle-type vehicle (100); a determination section that determines necessity of assistance operation executed by a rider-assistance system (1) to assist with the rider's operation; and a control section that makes an execution device (P) execute the assistance operation in the case where the determination section determines that the assistance operation is necessary. The determination section determines the necessity of the assistance operation by using: a collision index value that is an index value of a collision possibility of a following vehicle against the traveling straddle-type vehicle (100); and a stability index value that is an index value of a stability degree of a relative distance of the following vehicle to the traveling straddle-type vehicle (100).