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Autonomous Rover Navigation Using Pixhawk and ROS

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dc.contributor.advisor Dailey, Matthew
dc.contributor.author Raghuram, Lekkala
dc.contributor.other Ekpanyapong, Mongkol
dc.contributor.other Taparugssanagorn, Attaphongse
dc.date.accessioned 2020-01-17T08:42:08Z
dc.date.available 2020-01-17T08:42:08Z
dc.date.issued 2020-01
dc.identifier.other AIT
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/964
dc.description 31 p en_US
dc.description.abstract Autonomous mobile robot navigation is one of the important and exciting topic in present days. Cameras can play an essential role in object detection and object avoidance. By using latest advancements in computer vision and visual slam autonomous navigation becoming more and more accurate. Some of the autonomous robot navigation applications are vacuum cleaners, home delivery robots, self driving cars, surveillance robots. This slam technique used in this research study is rtabmap ros, it provides wide range of mapping methods like 2D, 3D, octomaps, occupancy grid maps. In this study I tested robot car in both indoor and outdoor conditions and compared the results. This generated maps can be used for robot navigation and localization en_US
dc.description.sponsorship AIT Fellowship, Jawaharlal Nehru Technological University en_US
dc.publisher AIT en_US
dc.subject pixhawk en_US
dc.subject ros en_US
dc.subject robot operating system en_US
dc.subject mavros en_US
dc.title Autonomous Rover Navigation Using Pixhawk and ROS en_US
dc.type Research report en_US


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