Cross-view detection of crowded objects based on multi-sensor fusion

This proposal introduces a fusion detection method of color camera and LiDAR, which can achieve more ideal detection and tracking performance under limited computational resources, and explores a joint fusion detection method deployed on multiple robots, which can improve the detection performance o...

Full description

Saved in:
Bibliographic Details
Main Author: Gu, Zhipeng
Other Authors: Wang Dan Wei
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177655
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-177655
record_format dspace
spelling sg-ntu-dr.10356-1776552024-05-31T15:50:41Z Cross-view detection of crowded objects based on multi-sensor fusion Gu, Zhipeng Wang Dan Wei School of Electrical and Electronic Engineering EDWWANG@ntu.edu.sg Engineering This proposal introduces a fusion detection method of color camera and LiDAR, which can achieve more ideal detection and tracking performance under limited computational resources, and explores a joint fusion detection method deployed on multiple robots, which can improve the detection performance of multiple robots. Traditional methods are limited by single-sensor constraints, high com putational requirements, and poor real-time performance. The proposed fusion method significantly improves detection accuracy and reliability, and solves the problem of data discrepancy and interference between sensors and robots. This approach is valuable for advancing single robots as well as multiple robots in various applications Master's degree 2024-05-29T06:16:32Z 2024-05-29T06:16:32Z 2024 Thesis-Master by Coursework Gu, Z. (2024). Cross-view detection of crowded objects based on multi-sensor fusion. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177655 https://hdl.handle.net/10356/177655 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
spellingShingle Engineering
Gu, Zhipeng
Cross-view detection of crowded objects based on multi-sensor fusion
description This proposal introduces a fusion detection method of color camera and LiDAR, which can achieve more ideal detection and tracking performance under limited computational resources, and explores a joint fusion detection method deployed on multiple robots, which can improve the detection performance of multiple robots. Traditional methods are limited by single-sensor constraints, high com putational requirements, and poor real-time performance. The proposed fusion method significantly improves detection accuracy and reliability, and solves the problem of data discrepancy and interference between sensors and robots. This approach is valuable for advancing single robots as well as multiple robots in various applications
author2 Wang Dan Wei
author_facet Wang Dan Wei
Gu, Zhipeng
format Thesis-Master by Coursework
author Gu, Zhipeng
author_sort Gu, Zhipeng
title Cross-view detection of crowded objects based on multi-sensor fusion
title_short Cross-view detection of crowded objects based on multi-sensor fusion
title_full Cross-view detection of crowded objects based on multi-sensor fusion
title_fullStr Cross-view detection of crowded objects based on multi-sensor fusion
title_full_unstemmed Cross-view detection of crowded objects based on multi-sensor fusion
title_sort cross-view detection of crowded objects based on multi-sensor fusion
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/177655
_version_ 1800916428118818816