A Simultaneous Localization and Mapping System Using a Stereo-Camera and a Low-Cost Mobile-Robot
Muhammad Asem Muhammad Abdel Aziz;
Abstract
This work presents the implementation of the algorithms used in solving the Simultaneous localization
and mapping problem SLAM on a low-cost mobile robot platformusing wheel encoders for odometry estimation
in addition to stereo camera for mapping and range finding after using computer vision algorithms.
This work aims to integrate the theory to its real world applications through software programming and
hardware platform designing to deliver an autonomous mobile robot prototype; Occupancy grid maps
for different environment setup was obtained finally as a result in order to acquire the robot with a good
perception about its environment to plan its autonomous trajectory.
and mapping problem SLAM on a low-cost mobile robot platformusing wheel encoders for odometry estimation
in addition to stereo camera for mapping and range finding after using computer vision algorithms.
This work aims to integrate the theory to its real world applications through software programming and
hardware platform designing to deliver an autonomous mobile robot prototype; Occupancy grid maps
for different environment setup was obtained finally as a result in order to acquire the robot with a good
perception about its environment to plan its autonomous trajectory.
Other data
| Title | A Simultaneous Localization and Mapping System Using a Stereo-Camera and a Low-Cost Mobile-Robot | Other Titles | نظام متزامن للتموضع و بناء الخرائط بواسطة كاميرتين و روبوت متحرك منخفض التكلفة | Authors | Muhammad Asem Muhammad Abdel Aziz | Issue Date | 2018 |
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