Real-time object detection by cameras mounted on mobile robots on campus

Real-time object detection by cameras mounted on mobile robots on campus

This dissertation aims to identify and apply campus popularization objectives and strengthen campus management and security. Because most of the detection is for vehicles and pedestrians which often requires high accuracy and real-time performance. This dissertation uses the YOLOv5 algorithm, which...

Bibliográfalaš dieđut
Váldodahkki:	Xu, Haozhe
Eará dahkkit:	Zheng Yuanjin
Materiálatiipa:	Thesis-Master by Coursework
Giella:	English
Almmustuhtton:	Nanyang Technological University 2025
Fáttát:	Engineering Object detection YOLOv5
Liŋkkat:	https://hdl.handle.net/10356/182176

Geahča maid

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Development of robotic grasping of object detection model
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An improved fire and smoke detection method based on YOLOv8n for smart factories
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Object detection and tracking (in car cabin)
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Real-time robotic manipulation of cylindrical objects in dynamic scenarios through elliptic shape primitives
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Almmustuhtton: (2020)

Open world object detection: a survey
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Almmustuhtton: (2025)

OW-Mamba: Mamba for open world object detection
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Almmustuhtton: (2024)

Object detection in car cabin environment
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Almmustuhtton: (2024)

Exploring different dehazing algorithms for object detection in foggy weather conditions for autonomous vehicles
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Almmustuhtton: (2024)

Obstacle avoidance path design and simulation of in-space capsule service robotic arm based on YOLOv8
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Almmustuhtton: (2024)

Real-time UAV-based vehicle counting method based on deep learning
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Almmustuhtton: (2024)

A Trainable System for Object Detection in Images and Video Sequences
Dahkki: Papageorgiou, Constantine P.
Almmustuhtton: (2004)

Car cabin object detection using artificial intelligence (multimodal object detection)
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Almmustuhtton: (2024)

Contextual object detection with multimodal large language models
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Almmustuhtton: (2024)

S-CNN : subcategory-aware convolutional networks for object detection
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Almmustuhtton: (2020)

Demo abstract: real-time out-of-distribution detection on a mobile robot
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Almmustuhtton: (2023)

Object Detection in Images by Components
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Almmustuhtton: (2004)

A Trainable Object Detection System: Car Detection in Static Images
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Almmustuhtton: (2004)

LiDAR-based 3D object detection and tracking for autonomous driving
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Almmustuhtton: (2024)

A Multi-Scale Generalization of the HoG and HMAX Image Descriptors for Object Detection
Dahkki: Bileschi, Stanley M
Almmustuhtton: (2008)

Contextual models for object detection using boosted random fields
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Almmustuhtton: (2005)

Contextual models for object detection using boosted random fields
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Almmustuhtton: (2004)

Deep affordance learning for single- and multiple-instance object detection
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Almmustuhtton: (2020)

Exploring bottom-up and top-down cues with attentive learning for webly supervised object detection
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Almmustuhtton: (2020)

Open-vocabulary object detection via debiased curriculum self-training
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Almmustuhtton: (2024)

Multi-view fusion-based 3D object detection for robot indoor scene perception
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Almmustuhtton: (2020)

Sharing visual features for multiclass and multiview object detection
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Almmustuhtton: (2004)

A Formulation for Active Learning with Applications to Object Detection
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Almmustuhtton: (2004)

Sharing visual features for multiclass and multiview object detection
Dahkki: Torralba, Antonio, et al.
Almmustuhtton: (2005)

Semi-supervised and long-tailed object detection with Cascadematch
Dahkki: Zang, Yuhang, et al.
Almmustuhtton: (2023)

Sim2world: few-shot domain adaptation for object detection
Dahkki: Minn Set Moe Hein
Almmustuhtton: (2024)

Learning and Example Selection for Object and Pattern Detection
Dahkki: Sung, Kah-Kay
Almmustuhtton: (2004)

Robot-assisted object detection for construction automation : data and information-driven approach
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Almmustuhtton: (2021)

Automatic checkerboard detection for camera calibration using self-correlation
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Almmustuhtton: (2018)

Robustness analysis of pedestrian detectors for surveillance
Dahkki: Fang, Yuming, et al.
Almmustuhtton: (2018)

Learning object boundary detection from motion data
Dahkki: Ross, Michael G., et al.
Almmustuhtton: (2003)

Neural differential geometry for 3D object detection
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Almmustuhtton: (2024)