Development of a machine-learning based object recognition system for quadrotors in urban environments
This project presents the implementation of suitable Machine Learning (ML) architecture(s) to achieve real-time object detection and classification in a quadrotor in an urban environment, with a reasonable level of accuracy. Here, a suitable architecture refers to one that is able to achieve real-ti...
Saved in:
Main Author: | Lim, Brandon Yi Ming |
---|---|
Other Authors: | Low Kin Huat |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/138933 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Object recognition and tracking for quadrotor in a dynamic environment
by: Lim, Benjamin Zhen Wei
Published: (2020) -
Extreme learning machine based fast object recognition
by: Xu, Jiantao, et al.
Published: (2014) -
Development of eye gaze system for object selection in cluttered environment
by: Sin, Wei Zheng
Published: (2021) -
Learning motion primitives for planning swift maneuvers of quadrotor
by: Camci, Efe, et al.
Published: (2020) -
Small object recognition using machine learning techniques
by: Tan, Zhi Wei
Published: (2018)