Motorcycle Rider Assistance Using Multi-Line Group Travel Detection
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Solution Overview
Problem
Existing driving assistance systems for motorcycles lack the ability to optimize driving assistance operations during group travel, where the traffic conditions around individual vehicles differ significantly from those in solo travel.
Innovation Solution
A controller for a rider-assistance system that includes an identification section to determine whether a motorcycle is positioned in a specific vehicle line during group travel, based on surrounding environment information, and an execution section to execute driving assistance operations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a conventional driver-assistance system is used for motorcycles, then basic obstacle detection and warning functions are provided, but the system cannot optimize driving assistance operations for group travel scenarios where traffic conditions differ from solo travel
Solution Approach 1:
The system dynamically adjusts driving assistance operations based on whether the motorcycle is traveling alone or in a group. The controller changes detection ranges, warning thresholds, and assistance levels according to the travel mode, making the system adaptable to different traffic conditions while maintaining reliability through context-appropriate responses
Solution Approach 2:
The system changes operational parameters such as detection sensitivity, warning timing, and assistance intensity based on the identified travel mode. When group travel is detected, parameters are adjusted to account for reduced personal space and different interaction patterns, thereby improving adaptability without compromising safety
2Measurement precision
If the system increases detection range and monitoring coverage to identify vehicle lines during group travel, then identification accuracy improves, but device complexity and processing requirements increase
Solution Approach 1:
The detection space is segmented into multiple vehicle lines (first vehicle line, second vehicle line, etc.) based on lateral positions of surrounding motorcycles. This segmentation allows the system to identify which specific line the own vehicle belongs to, improving measurement precision while managing complexity through structured spatial division
Solution Approach 2:
The system adds a lateral dimension to vehicle line identification by detecting motorcycles positioned at different lateral distances from the own vehicle. This dimensional approach enables accurate vehicle line identification without requiring overly complex processing, as it leverages the natural spatial arrangement of vehicles in group travel
Data Source
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AI summary
The invention obtains a controller and a control method capable of appropriately assisting with driving by a rider of a motorcycle in group travel. In the controller and the control method according to the invention, an execution section of a controller 20 executes driving assistance operation to assist with driving by the rider. Furthermore, in the case where the group travel in which a group made up of plural motorcycles travels in plural vehicle lines is made, an identification section of the controller 20 identifies in first identification processing whether a vehicle line identification target vehicle, which is the motorcycle constituting the group, is positioned in a first vehicle line, to which a vehicle line identification reference vehicle, which is the motorcycle constituting the group belongs, or is positioned in a second vehicle line, to which the vehicle line identification reference vehicle does not belong, on the basis of surrounding environment information of the vehicle line identification target vehicle. The execution section executes the driving assistance operation on the basis of an identification result by the identification section.