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Title: Lidar inertial odometry localization of UAV in indoor environment
Authors: Chow, Jiun Fatt
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2019
Abstract: Mobile robots are capable of various applications, ranging from simple delivery tasks to advanced surveillance operations. These abilities rely heavily on its localization ability, which provides stable and accurate pose estimations within the environment. Localization can be achieved by different sensors and techniques such as GPS, WIFI, ultrasonic sensors. In this paper, we focus on the laser-based localization method of UAV (drone) in a GPS-denied environment such as deep tunnel system. Due to the limited payload for sensors on a UAV, a 2D LIDAR sensor is used to perform 2D localization with the fusion of inertial measurement unit (IMU). IMU is an additional sensing input from the onboard flight control unit – Pixhawk, to increase the reliability and accuracy of localization performance. In this paper, we present a comparative analysis of the three most common laser-based 2D Simultaneous Localization and Mapping (SLAM) approached: Hector SLAM, Gmapping, Cartographer, in terms of localization against the precise ground truth and mapping quality. To evaluate the performance, experimental datasets were collected under the same conditions and compared to ground truth value in Motion Capture Lab. The experimental results were analysed in the aspect of accuracy and mapping quality via MATLAB. This study investigates these open-source packages and the real-time evaluations on the SLAM performance (i.e. localization and mapping) in surrounded environments.
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Robotics Research Centre 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

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