Implementation of a safety system using ir and ultrasonic devices for mobility scooter obstacle collision avoidance

Bingham, Adrian; Hadoux, Xavier; Kumar, Deepak

doi:10.1109/brc.2014.6881000

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…Based on table 1 measurement of the HC-SR04 ultrasound sensor with a comparison of the ruler measuring distance measuring 30cm -200 cm obtained the highest average deviation value of 0.72 at a distance of 150 cm, as in previous studies which obtained the best ultrasound performance HC-SR04 at a distance below 110 cm [26]. Therefore a limitation of a reading distance of 200 cm was carried out on the HC-SR04 ultrasound sensor for the wheelchair safety system in this study.…”

Section: Discussionsupporting

confidence: 57%

Obstacles and Areas Detection Based on Pulse Width Modulation Method for Electric Wheelchair Safety Using Ultrasound Sensors

Yulianto

Munawaroh

Triwiyanto

et al. 2021

JBBBE

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People with disabilities find it difficult to operate wheelchairs especially those with disabilities who do not have hands and feet or are disabled. The aim of this research is to improve safety control for electric wheelchairs by detecting obstacles and detecting areas that minimize collisions against obstacles. The contribution of this research is the use of the HC-SR04 ultrasound sensors to avoid a wheelchair colliding with an obstacle using the Pulse Width Modulation (PWM) method which is set based on the distance of the obstacle and the detection of free areas and corridor areas using the PWM method which is adjusted based on following the wall. The HC-SR04 ultrasound sensor is used as input and is processed on the Arduino nanomicrocontroller series to produce a value of PWM. Measuring the HC-SR04 ultrasound sensor against obstacles obtained the largest deviation of 0.72 and average 148,6 cm at a distance of 150 cm and the smallest deviation at a distance of less than 50 cm and the wheelchair can move at slow, medium and fast speeds with the measurement results on Duty Cycles of 71%, 82% and 94%. The results showed that the final distance of the wheelchair against obstacles was less than 50 cm and the wheelchair moved at a distance of 34 - 53 cm following the wall. The results of this study can control motor speed based on obstacles that can be implemented in electric wheelchairs to improve safety and ease of operation for people with disabilities.

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Section: Discussionsupporting

confidence: 57%

Obstacles and Areas Detection Based on Pulse Width Modulation Method for Electric Wheelchair Safety Using Ultrasound Sensors

Yulianto

Munawaroh

Triwiyanto

et al. 2021

JBBBE

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“…In recent years, a few papers have studied solutions to assist the users of mobility scooters with driving. Bingham et al [3] proposed a collision avoidance system using infrared and ultrasonic sensors, while Eck et al [4] presented a solution to guide the user through narrow passages. In both cases, the user was expected to guide the vehicle towards the desired destination.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Navigation for Mobility Scooters: a Complete Framework Based on Open-Source Software

Cecotti

Kanchwala

Aouf

2019

2019 IEEE Intelligent Transportation Systems Conference (ITSC)

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In recent years, there has been a growing demand for small vehicles targeted at users with mobility restrictions and designed to operate on pedestrian areas. The users of these vehicles are generally required to be in control for the entire duration of their journey, but a lot more people could benefit from them if some of the driving tasks could be automated. In this scenario, we set out to develop an autonomous mobility scooter, with the aim to understand the commercial feasibility of a similar product. This paper reports on the progress of this project, proposing a framework for autonomous navigation on pedestrian areas, and focusing in particular on the construction of suitable costmaps. The proposed framework is based on open-source software, including a library created by the authors for the generation of costmaps.

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“…Motorized Shopping Carts (MSCs) are fundamentally reduced speed scooters with large basket installed in their front and in cases of three wheel scooters two small casters are installed in the front in order to enhanced stability (see Figure 1). Large number of scooters are currently being used by elderly and people with disabilities and safety issues related to their design and use had been discussed in many reports [2][3][4][5][6]. However, the particular issues regarding the safety of Motorized Shopping Carts had not be discussed In [7] the new rules regarding to mobility aids, published by the American with Disabilities Act, are explained but safety remarks or recommendation were given.…”

Section: Introductionmentioning

confidence: 99%

Safety Issues Regarding Motorized Shopping Carts

Masory¹

2019

Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation

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As the elderly population grows, the need for personal mobility devices such scooter and wheelchairs increases too. Most of these devices are used in uncrowded environment except Motorized Shopping Carts (MSCs). MSCs are operated by elderly or by people with disabilities in very confined and in times very crowded environment. In a first glance, it appears that there are no safety issues in operating MSCs due to their misleading low "walking" speed. On the contrary, there are quite a few safety issues related to MSCs operation in supermarkets, department stores and other retail facilities. This paper attempts to present some of the safety concerns which include high accelerations and jerks, Impact forces with by standers, manoeuvrability and others.

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Implementation of a safety system using ir and ultrasonic devices for mobility scooter obstacle collision avoidance

Cited by 8 publications

References 12 publications

Obstacles and Areas Detection Based on Pulse Width Modulation Method for Electric Wheelchair Safety Using Ultrasound Sensors

Obstacles and Areas Detection Based on Pulse Width Modulation Method for Electric Wheelchair Safety Using Ultrasound Sensors

Autonomous Navigation for Mobility Scooters: a Complete Framework Based on Open-Source Software

Safety Issues Regarding Motorized Shopping Carts

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