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公开(公告)号：US20220117807A1
公开(公告)日：2022-04-21
申请号：US17561771
申请日：2021-12-24
Inventor： Sei-Bum CHOI , Min-Hyun KIM
Abstract: A propulsion assist device connected to a manual wheelchair to provide driving force is disclosed. The propulsion assist device provides sufficient driving force and braking force while using the motor by the self-energizing effect. The propulsion assist device can be easily connected to manual wheelchairs without the need for bending over. The self-energizing effect is provided in a mechanical way, and the risk of failure is low due to the simple structure of the device.
The propulsion assist device is economically priced, enabling the elderly and disabled to improve their self-esteem as members of society and engage in safer and more active social activities.-
公开(公告)号：US20210182632A1
公开(公告)日：2021-06-17
申请号：US17186329
申请日：2021-02-26
Inventor： Sei-Bum CHOI , Min-Hyun Kim , Jin-Rak Park , Seung-In Shin , Jong-Chan Park
Abstract: The present invention relates to a method and apparatus for estimating a road surface type by using an ultrasonic signal and, more particularly, to a method for estimating a road surface type by using an artificial neural network model machine-learned with respect to a reflected ultrasonic signal and an apparatus for performing same. According to the present invention, provided are a method and apparatus for providing highly accurate road surface information at low cost, by machine-learning both characteristics of an ultrasonic signal reflected from a road surface and a road surface state, establishing a model between the two, and then estimating the type of the road surface by utilizing the model. In particular, even a road surface where thin ice, that is, black ice, is formed, which was not detectable in the conventional method for estimating a road-surface friction coefficient, may be accurately estimated, thereby contributing to safer driving.
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