IMPLEMENTATION OF OBSTACLE AVOIDANCE AND OBJECT TRACKING IN NAVIGATION OF SMART CITY SURVEILLANCE ROBOT

<p align="justify">Surveillance robot in the context of this final project is a robot to escort security officer which has a function to doing patrol on the determined working area and also has tracking function with the parameters that have been predetermined. In design, this robot...

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Main Author: KURNIAWAN - NIM : 13213502, RICKY
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/30430
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:30430
spelling id-itb.:304302018-06-25T10:51:53ZIMPLEMENTATION OF OBSTACLE AVOIDANCE AND OBJECT TRACKING IN NAVIGATION OF SMART CITY SURVEILLANCE ROBOT KURNIAWAN - NIM : 13213502, RICKY Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/30430 <p align="justify">Surveillance robot in the context of this final project is a robot to escort security officer which has a function to doing patrol on the determined working area and also has tracking function with the parameters that have been predetermined. In design, this robot is built using SBC (Single Board Computer) which is Nvidia Jetson TK1 as a master and Nucleo STM32 as a slave to regulate the movement of motors and also reads ultrasonic sensors that will be implemented in obstacle avoidance function. To detect features of a person, HOG (Histogram of Gradient) method is used by comparing the histogram value of each pixel in the image captured by the camera.<p align="justify"> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <p align="justify">Surveillance robot in the context of this final project is a robot to escort security officer which has a function to doing patrol on the determined working area and also has tracking function with the parameters that have been predetermined. In design, this robot is built using SBC (Single Board Computer) which is Nvidia Jetson TK1 as a master and Nucleo STM32 as a slave to regulate the movement of motors and also reads ultrasonic sensors that will be implemented in obstacle avoidance function. To detect features of a person, HOG (Histogram of Gradient) method is used by comparing the histogram value of each pixel in the image captured by the camera.<p align="justify">
format Final Project
author KURNIAWAN - NIM : 13213502, RICKY
spellingShingle KURNIAWAN - NIM : 13213502, RICKY
IMPLEMENTATION OF OBSTACLE AVOIDANCE AND OBJECT TRACKING IN NAVIGATION OF SMART CITY SURVEILLANCE ROBOT
author_facet KURNIAWAN - NIM : 13213502, RICKY
author_sort KURNIAWAN - NIM : 13213502, RICKY
title IMPLEMENTATION OF OBSTACLE AVOIDANCE AND OBJECT TRACKING IN NAVIGATION OF SMART CITY SURVEILLANCE ROBOT
title_short IMPLEMENTATION OF OBSTACLE AVOIDANCE AND OBJECT TRACKING IN NAVIGATION OF SMART CITY SURVEILLANCE ROBOT
title_full IMPLEMENTATION OF OBSTACLE AVOIDANCE AND OBJECT TRACKING IN NAVIGATION OF SMART CITY SURVEILLANCE ROBOT
title_fullStr IMPLEMENTATION OF OBSTACLE AVOIDANCE AND OBJECT TRACKING IN NAVIGATION OF SMART CITY SURVEILLANCE ROBOT
title_full_unstemmed IMPLEMENTATION OF OBSTACLE AVOIDANCE AND OBJECT TRACKING IN NAVIGATION OF SMART CITY SURVEILLANCE ROBOT
title_sort implementation of obstacle avoidance and object tracking in navigation of smart city surveillance robot
url https://digilib.itb.ac.id/gdl/view/30430
_version_ 1822923258937212928