Straddle Vehicle Rider Assistance Using Riding Object Detection
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Solution Overview
Problem
Conventional controllers for straddle-type vehicles cannot acquire information on objects other than the rider, which hinders appropriate assistance operations.
Innovation Solution
A controller for straddle-type vehicles that includes an acquisition section to gather information on riding objects using an environment information detection system with multiple sensors, and an execution section to execute rider assistance operations based on this information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional controller is used without environment sensors, then device complexity is reduced, but information acquisition capability on riding objects deteriorates
Solution Approach 1:
The controller proactively acquires riding object information before executing assistance operations by utilizing output from the environment information detection system. This preliminary information gathering enables the controller to prepare appropriate assistance strategies in advance, improving responsiveness and accuracy of rider assistance while maintaining a manageable system architecture through integrated sensor processing
2Loss of information
If environment sensors are added to detect surrounding objects, then information acquisition capability on riding objects is improved, but device complexity increases
Solution Approach 1:
The environment information detection system, comprising multiple environment sensors mounted on the straddle-type vehicle, serves multiple functions: detecting surrounding objects for general environmental awareness and specifically identifying riding objects for assisted riding control. This multi-functional approach allows the system to acquire riding object information without requiring separate dedicated sensors, thereby improving information acquisition while controlling device complexity through shared sensor resources
3Reliability
If riding object information is acquired using environment information detection system, then rider assistance accuracy is improved, but system resource consumption increases
Solution Approach 1:
The controller extracts and processes only the relevant riding object information from the output of the environment information detection system, rather than processing all environmental data. This selective extraction approach enables accurate rider assistance by focusing computational resources on identifying and analyzing riding objects specifically, while reducing overall system resource consumption by filtering out unnecessary environmental information
Data Source
AI summary
The present invention obtains a controller and a control method capable of appropriately assisting with a rider. An acquisition section of a controller (20) for a straddle-type vehicle (100) acquires riding object information as information on a riding object as an object that is other than a rider (200) of the straddle-type vehicle (100) and rides on the straddle-type vehicle (100) on the basis of output of an environment information detection system (11) that includes at least one environment sensor (11a, 11b, 11c, 11d) that is mounted to the straddle-type vehicle (100), and detects information on a surrounding object as an object located around the straddle-type vehicle (100), and an execution section of the controller (20) executes assistance operation for the rider (200) of the straddle-type vehicle (100) on the basis of the riding object information.