2A1-T06 Development of omnidirectional vehicle for a handicapped child : 5th Report: The operational support system by the obstacle avoidance which uses an ultrasonic sensor(Welfare Robotics and Mechatronics(2))

2012 ◽  
Vol 2012 (0) ◽  
pp. _2A1-T06_1-_2A1-T06_4
Author(s):  
Takuya TSUKAMOTO ◽  
Toshihiko YASUDA ◽  
Noshinori OKUYA ◽  
Junichi TAKASHIO ◽  
Masao KUMODE
Keyword(s):  
Obstacle Avoidance ◽  
Support System ◽  
Ultrasonic Sensor ◽  
Handicapped Child ◽  
Operational Support System

Pengembangan Sistem Penunjang Operasional dan Pengelolaan Sumber Daya Manusia untuk Laboratorium Komputer

2015 ◽  
Vol 6 (1) ◽  
pp. 12-19
Author(s):  
Angellia Debora Suryawan ◽  
Marlene Martani ◽  
Mahenda Metta Surya
Keyword(s):  
Resource Management ◽  
Human Resources ◽  
Human Resource Management ◽  
Human Resource ◽  
Support System ◽  
Performance Indicator ◽  
Management Support ◽  
Key Performance Indicator ◽  
Literature Study ◽  
Operational Support System

Human resources are an important asset in the entire company operations activity. A human resources management support system should be provided to improve performance in  accordance with the company target. The purpose of this study is to design a model of operational and human resource management support systems that can integrate employee performance data, simplify management of employee data, and generate reports in the form of Key Performance Indicator (KPI) and Binusian Level. Methodology used in this study is using literature study, design, and test a model to make operational and human resource management information system. Index Terms - human resources, operational support system, Key Performance Indicator (KPI)  

Research on the Design of Intelligent Obstacle Avoidance Car Model Based on Ultrasonic Wave

2013 ◽  
Vol 461 ◽  
pp. 531-534
Author(s):  
Yu Zhu ◽  
Zhe Xin Han ◽  
Peng Kun Sun ◽  
Tian Hao Wang ◽  
Yin Han Gao
Keyword(s):  
Ambient Temperature ◽  
Ultrasonic Wave ◽  
Obstacle Avoidance ◽  
External Environment ◽  
Ultrasonic Sensor ◽  
Design System ◽  
Intelligent Vehicle ◽  
The Core ◽  
Car Model ◽  
Model Based

Based on the characteristic of an ultrasonic sensor that can sense the external environment, we design an intelligent vehicle with obstacle avoidance function. First, we use MSP430 as the core of the design system. Second, we distribute the ultrasonic sensor evenly on the round zone of the obstacles to process the data and ambient temperature, which is transmitted from the ultrasonic receiver through the SCM (what is SCM, explain). Finally, we make it to realize the functions of intelligent controlling and avoiding obstacles automatically.

scholarly journals Obstacle Avoidance for Quadcopter using Ultrasonic Sensor

2018 ◽  
Vol 1005 ◽  
pp. 012037 ◽  
Author(s):  
Muhammad Fazlur Rahman ◽  
Rianto Adhy Sasongko
Keyword(s):  
Obstacle Avoidance ◽  
Ultrasonic Sensor

Hybrid obstacle avoidance system with vision and ultrasonic sensors for multi-rotor MAVs

2018 ◽  
Vol 45 (2) ◽  
pp. 227-236 ◽  
Author(s):  
Qiang Zhou ◽  
Danping Zou ◽  
Peilin Liu
Keyword(s):  
Path Planning ◽  
Obstacle Avoidance ◽  
Moving Objects ◽  
Point Clouds ◽  
Ultrasonic Sensor ◽  
Content Type ◽  
Stereo Camera ◽  
3D Point Clouds ◽  
Planning Algorithm ◽  
Path Planning Algorithm

Purpose This paper aims to develop an obstacle avoidance system for a multi-rotor micro aerial vehicle (MAV) that flies in indoor environments which usually contain transparent, texture-less or moving objects. Design/methodology/approach The system adopts a combination of a stereo camera and an ultrasonic sensor to detect obstacles and extracts three-dimensional (3D) point clouds. The obstacle map is built on a coarse global map and updated by local maps generated by the recent 3D point clouds. An efficient layered A* path planning algorithm is also proposed to address the path planning in 3D space for MAVs. Findings The authors conducted a lot of experiments in both static and dynamic scenes. The results show that the obstacle avoidance system works reliably even when transparent or texture-less obstacles are present. The layered A* path planning algorithm is much faster than the traditional 3D algorithm and makes the system response quickly when the obstacle map has been changed because of the moving objects. Research limitations/implications The limited field of view of both stereo camera and ultrasonic sensor makes the system need to change heading first before moving side to side or moving backward. But this problem could be addressed when multiple systems are mounted toward different directions on the MAV. Practical implications The developed approach could be valuable to applications in indoors. Originality/value This paper presents a robust obstacle avoidance system and a fast layered path planning algorithm that are easy to be implemented for practical systems.

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