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单目相机作为电动代步车的操作记录器:用于估计转向和油门角度的视觉里程计方法

A Monocular Camera as an Operation Logger for Motorized Mobility Scooters: Visual Odometry Method to Estimate Steering and Throttle Angles.

作者信息

Haraguchi Naoto, Liu Yi, Sugiyama Haruki, Hase Kazunori, Suzurikawa Jun

机构信息

Department of Assistive Technology, Research Institute of National Rehabilitation Center for Persons with Disabilities, 4-1 Namiki, Tokorozawa 359-8555, Japan.

College of Mechanical and Electrical Engineering, Harbin Engineering University, 145 Nantong Street, Nangang District, Harbin 150001, China.

出版信息

Sensors (Basel). 2025 Apr 24;25(9):2701. doi: 10.3390/s25092701.

Abstract

Motorized mobility scooters (MMSs) are vital assistive technology devices that facilitate independent living for older adults. In many cases, older adults with physical impairments operate MMSs without special licenses, increasing the risk of accidents caused by operational errors. Although sensing systems have been developed to record MMS operations and evaluate driving skills, they face challenges in clinical applications because of the complexity of installing inertial measurement units (IMUs). This study proposes a novel recording system for MMS operation that uses a compact single-lens camera and image processing. The system estimates steering and throttle angles during MMS operation using optical flow and template matching approaches. Estimation relies on road surface images captured by a single monocular camera, significantly reducing the complexity of the sensor setup. The proposed system successfully estimated the steering angle with comparable accuracy to existing approaches using IMUs. Estimation of the throttle angle was negatively affected by the inertia of the MMS body during acceleration and deceleration but demonstrated high accuracy during stable driving conditions. This method provides a fundamental computational technique for measuring MMS operations using camera images. With its simple setup, the proposed system enhances the usability of recording systems for evaluating MMS driving skills.

摘要

电动代步车(MMS)是重要的辅助技术设备,有助于老年人独立生活。在许多情况下,身体有损伤的老年人在没有特殊许可证的情况下操作MMS,增加了因操作失误导致事故的风险。尽管已经开发出传感系统来记录MMS的操作并评估驾驶技能,但由于安装惯性测量单元(IMU)的复杂性,它们在临床应用中面临挑战。本研究提出了一种用于MMS操作的新型记录系统,该系统使用紧凑型单镜头相机和图像处理技术。该系统使用光流和模板匹配方法估计MMS操作期间的转向和油门角度。估计依赖于由单个单目相机捕获的路面图像,大大降低了传感器设置的复杂性。所提出的系统成功地估计了转向角,其精度与使用IMU的现有方法相当。在加速和减速期间,油门角度的估计受到MMS车身惯性的负面影响,但在稳定驾驶条件下显示出高精度。该方法为使用相机图像测量MMS操作提供了一种基本的计算技术。所提出的系统设置简单,提高了用于评估MMS驾驶技能的记录系统的可用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b26/12074247/210e71cbafc7/sensors-25-02701-g001.jpg

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