Position Estimation of Slowly Moving Obstacles Using Ultrasonic Sensor Array

Tsujii, Asuka; Kasashima, Takashi; Hatano, Hiroyuki; Yamazato, Takaya

doi:10.1109/ius54386.2022.9957484

Cited by 2 publications

(1 citation statement)

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“…Obstacle detection can be defined as the detection and recognition of obstacles in the way and avoiding collisions between them by reacting to the signals received from the sensors [2]. According to the study of [3] used an ultrasonic sensor array to perform obstacle estimation. In their research, an ultrasonic sensor array is vertically arranged against the detecting plane to generate a fan-shaped, broad-directional beam that detects a wide range of obstacles with a single output and also multilateration arranged in horizontal receiver array on the detection plane to receive the signal from the vertical plane, as shown in Figure 1 by using probability density function (PDF) distribution to estimate the obstacle.…”

Section: A Methods and Sensor To Perform Obstacle Detectionmentioning

confidence: 99%

A Review on Sensor Technologies and Control Methods for Mobile Robot with Obstacle Detection System

Ang,

Min

2024

IJORAS

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Obstacle detection system is a system that reacts to the object in the path and perform action such as stopping robot movement and collision prevention according to the design of algorithm which enhance the safety level of robot. This paper examines the overview of sensor technology that associates with obstacle detection system and car-like robot. This review summarizes the effectiveness and weakness of common type of sensors such as lidar, radar, ultrasonic sensor, infrared sensor, computer vision, sensor fusion and sensor array. This paper will also discuss on control methods for car-like robot that includes hand gestures, voice control, infrared remote control, Android based Bluetooth mobile control, and Wi-Fi based mobile control, outlining the effectiveness and limitation of each control method.

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Section: A Methods and Sensor To Perform Obstacle Detectionmentioning

confidence: 99%