Date of Award

2022

Publisher

North Dakota State University

Document Type

Thesis

Degree Awarded

Master of Science (MS)

Program

Agricultural and Biosystems Engineering

Department

Agricultural and Biosystems Engineering

College

Engineering

Faculty Advisor

Sun, Xin

Description

LiDAR sensor’s mapping and detection abilities make these sensors an important tool for research on navigation and object detection for robots and vehicles. This study used a ground robot and LiDAR sensor to collect navigational data sets from North Dakota State University Research Extension Center agricultural test plots in Carrington, ND. Three different height and angle combinations were used to study the factors that could potentially affect object detection. Three trials were run for each sensor placement and recorded the distance the laser pulse traveled and the intensity of the laser. The analysis results showed that the data did not have a normal distribution. However, statistical analysis showed a relationship between the return intensity of the laser pulse from the sensor and the distance the object was from the sensor. Thus, this study showed that LiDAR sensors could be a navigation tool for UGV applications in precision agriculture.

Rights

NDSU policy 190.6.2

Handle Identifier

https://hdl.handle.net/10365/33355

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