Výsledky vyhledávání - "Object-detection algorithms"

A Performance Comparison of Object Detection Algorithms on Traffic Scenes in Indian Roads

Autoři: Bhakti Paranjape Apurva Naik S. Perumal Sankar

Zdroj: Engineering, Technology & Applied Science Research. 15:25492-25498

Research on Real-time Object Detection Algorithms for Elevator Intelligent Monitoring Scenarios

Autoři: Jianyi Huang Geng Lin Zhengshan Dong a další

Zdroj: Proceedings of the 2025 2nd International Conference on Computer and Multimedia Technology. :229-235

Cluster Data Analysis for Optimization of Parameters of Object Detection Algorithms by Mobile Neural Network Models

Autoři: P. O. Arkhipov S. L. Philippskikh M. V. Tsukanov

Zdroj: Pattern Recognition and Image Analysis. 35:219-224

A Survey on 3D Object Detection Algorithms

Autoři: Lulu Fang Yang Zhang Yang Yu a další

Zdroj: 2025 6th International Conference on Computer Vision, Image and Deep Learning (CVIDL). :1013-1017

Real-Time Construction Safety Monitoring with Object Detection Algorithms: Features’ Identification and Implementation Challenges

Autoři: Amr A. Mohy Hesham A. Bassioni Elbadr O. Elgendi a další

Zdroj: Journal of Applied Engineering Sciences. 15:135-144

Deep Learning-Based Object Detection Algorithms in Medical Imaging

Systematic Review

Autoři: Albuquerque, Carina Henriques, Roberto Castelli, Mauro a další

Přispěvatelé: Albuquerque, Carina Henriques, Roberto Castelli, Mauro a další

Témata: deep learning, object detection, Medical imaging, bibliometric analysis, qualitative analysis, quantitative analysis, General, SDG 3 - Good Health and Well-being

Popis souboru: application/pdf

Relation: 2405-8440; PURE: 104701975

Dostupnost: http://hdl.handle.net/10362/176499

Comparative Performance of Object Detection Algorithms Under Low Illumination Conditions

Autoři: Md Junayed Hossain Shoptorshi Rahman Md Fahad Monir a další

Zdroj: SoutheastCon 2025. :1085-1090

Implementation of Object Detection Algorithms in the Inventory of Technical Infrastructure, Case Study of Utility Poles Detection

Autoři: Mateusz Paweł Czyrzniak Jacek Rapiński

Zdroj: Civil and Environmental Engineering Reports. 35:177-189

A Comprehensive Review on LiDAR Based 3D Deep Learning Object Detection Algorithms

Autoři: Pooja Goswami Ram Vaishnav Tanishq Anand a další

Zdroj: 2025 International Conference on Computer, Electrical & Communication Engineering (ICCECE). :1-6

A Comparative Study of State-of-the-Art Object Detection Algorithms for Autonomous Vehicles in DonkeyCar Simulator

Autoři: Naoby Prawira Nungki Selviandro Gia Septiana Wulandari

Zdroj: 2025 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS). :1-6

Range Analysis for Effective Object Detection Algorithms for Camera in Autonomous Vehicles

Autoři: Abhilash S Nitish Kumar P. Rajalakshmi

Zdroj: 2025 IEEE Applied Sensing Conference (APSCON). :231-234

From classical techniques to convolution-based models: A review of object detection algorithms

Autoři: Neha, Fnu Bhati, Deepshikha Shukla, Deepak Kumar a další

Zdroj: 2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS). :1-6

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2412.05252

The Evolution of Object Detection Algorithms Based on Deep Learning

Autoři: Qiyan Guo

Zdroj: Proceedings of the 2nd International Conference on Data Science and Engineering. :199-203

Comprehensive Performance Analysis of Object Detection Algorithms Across Diverse Sensor Modalities

Autoři: Suvojit Acharjee Singhan Ganguly Asfak Ali a další

Zdroj: IEEE Sensors Reviews. 2:304-323

DCW-YOLO: Road Object Detection Algorithms for Autonomous Driving

Autoři: Hongge Ren Fangke Jing Song Li

Zdroj: IEEE Access, Vol 13, Pp 125676-125688 (2025)

Témata: Autonomous driving, YOLOv8, deep learning, object detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Přístupová URL adresa: https://doaj.org/article/a618fb1a395e468790c79d0fb9880079

A Comparative Study of Object Detection Algorithms for Security Applications

Autoři: Roman Kriuchkov Timea Bezdan

Zdroj: Proceedings of the International Scientific Conference - Sinteza 2025. :524-530

Research Progress on Multi-Modal Fusion Object Detection Algorithms for Autonomous Driving: A Review

Autoři: Peicheng Shi Li Yang Xinlong Dong a další

Zdroj: Computers, Materials & Continua. 83:3877-3917

A Review of Research on Object Detection Algorithms

Autoři: Xiangjin Kong

Zdroj: Applied and Computational Engineering. 80:52-58

Comparative Study of Vision-Based and LiDAR-Based Object Detection Algorithms for Autonomous Driving

Autoři: Wenxiao Chen Zihan Gao

Zdroj: Transactions on Computer Science and Intelligent Systems Research. 7:301-308

A Review of Deep Learning Based Object Detection Algorithms

Autoři: Bin Fan Xiaona Song

Zdroj: Journal of Engineering Research and Reports. 26:88-99