Autonomous rover navigation using PixHawk and ROS | |
| Author | Raghuram, Lekkala |
| Subject(s) | Autonomous robots-Computer programs Mobile robots-Programming Robots-Control systems |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science |
| Publisher | Asian Institute of Technology |
| 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. |
| Year | 2020 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Dailey, Mathew N.; |
| Examination Committee(s) | Mongkol Ekpanyapong;Attaphongse Taparugssanagorn; |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2020 |