Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164464
Title: AiNavUT: an intelligent navigation system for unmanned tractor in airport
Authors: Zhou, Yichen
Keywords: Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Zhou, Y. (2022). AiNavUT: an intelligent navigation system for unmanned tractor in airport. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/164464
Abstract: With the growth in the number of airplanes at the airport, airport dispatch pressure will increase correspondingly. Airplane collisions frequently occur due to untimely communications and possible maloperations. To address this problem, AiNavUT, an intelligent navigation system for unmanned tractor has been proposed, where only a depth sensor is leveraged to perceive the environment and derive a low-price but robust autonomous navigation solution. AiNavUT consists of three main modules. Object detection: a multi-object detection and tracking is introduced to recognize the object. Localization: two methods based on poincloud clustering and monocular ranging are proposed to estimate depth in large baseline scenes. To improve the performance of monocular ranging, a semantic segmentation network is introduced. Navigation: based on the localization results, the costmap will be generated for the subsequent navigation.
URI: https://hdl.handle.net/10356/164464
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: embargo_restricted_20250125
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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