Smartphone-based two-wheeled self-balancing vehicles rider assistant

Abstract

This paper presents an approach to a driver assistant system for a two-wheeled self-balancing mobility vehicles in particular for a Segway. The approach is aimed for the readily available mobile devices, which become a part of our daily life such as a smartphone or a tablet. If a mobile device is well-positioned on a mobility vehicle, its front and rear cameras can be utilized as sensors to capture the ride related information about the rider's intention(s) and the interaction of the rider with the environment. In addition, attached to the handle bar of the mobility vehicle, this mobile device can be used to alert the driver using the motion and location sensor as well as cameras and gather ride characteristics. In this study, we describe a context-aware system that continuously observes both the rider and the dynamical characteristics of the ride and provides alerts to the rider anticipating the hazards, collision, the route of the other public road users, and the stability of the current ride characteristics.

Keywords

• Rider Assistant System
• Two-Wheeled Self-Balancing Vehicles
• Smart Space
• Smart-M3
• Ontology