Title:

Object Detection and Classification for 3-D Lidar Mapping System

In this thesis research, the ability of a three-dimensional lidar mapping system to detect and classify objects was explored. The theory behind the design and implementation of data processing algorithms for object detection were researched in depth. Relevant concepts from this research were then applied to the associated system using MATLAB. Several techniques of detection were integrated to manipulate and visualize the gathered information. Given the limiting constraints of the associated lidar mapping system, suggestions for system upgrades were provided to enable the implementation of an effective real-time object detection method.

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