Computer Vision and Robotics

Proceedings of CVR 2026, Volume 3
Erscheinungsjahr 2026
ISBN: 978-3-032-40000-0
Verlag: Springer

Buch, Englisch, 504 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented at the International Conference on Computer Vision and Robotics (CVR 2026), organized by National Institute of Technology, Goa, India, during 24–25 April 2026. The book discusses applications of computer vision and robotics in fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers.

Zielgruppe

Research

Autoren/Hrsg.

Sharma, Harish

Bhatt, Abhishek

Modi, Chirag Navinchandra

Engelbrecht, Andries

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

Design and Experimental Evaluation of a Fully Open-Source Private 5G Standalone Network Aligned with 3GPP Release 16.- Evaluating Attention-Based Feature Refinement in a Lightweight MRDN-Lite Framework for Image Super-Resolution.- Evaluating Transformer-Based Architectures for Multichannel EEG Denoising and Artifact Removal.- Large Scale Image Retrieval using Multi-Positive Multi-Negative Supervised Hashing.- Ada-Diff: Adaptive Zero-Shot Low-Light Enhancement via Degradation-Aware Latent Diffusion.- Role-Aware Log Representations for Enhanced Anomaly Detection via Latent Token Role Induction.- Multi-Modal Face-Voice Identity Verification System for Secure e-KYC Applications.- Trajectory Generation and Control of Planar Prismatic Knee based Biped Robot.- Predictive Analysis of Emission-Congestion Decoupling in Intersection-Dense Urban Networks Using Hybrid Data Modeling and XGBoost Learning.- VP-UNet: Visual Prompt-Guided and Cluster-Aware U-Net for Polyp Segmentation.- Telugu Optical Character Recognition Using Convolutional Recurrent Neural Networks.- Performance-Aware Adaptive LiDAR SLAM for Real-World Deployment.- A Comprehensive Survey on Multi-Agent Deep Reinforcement Learning: Algorithms, Benchmarking, and Emerging Research Directions for Collaborative and Competitive Systems.- Automated 5G Vulnerability Property Discovery: An LLM-Driven Framework for Security Analysis.- HYD-P4DT: A Physics-Informed Dataset for Digital Twin Modeling of Hyderabad Households.- Etc.

Über Autor(innen)

Dr. Harish Sharma has been a Professor in the Department of Computer Science & Engineering at Rajasthan Technical University (RTU), Kota, since 2017. Prior to this, he served as an Associate Professor in the same department from 2014 to 2017. He has also served as an Assistant Professor at Government Engineering College, Jhalawar, and Vardhman Mahaveer Open University, Kota, India. He is the Secretary and one of the founder members of the Soft Computing Research Society of India. He is also a Lifetime Member of the Cryptology Research Society of India, ISI, Kolkata. Dr. Sharma has contributed more than 125 research papers published in reputed international journals and conferences. He was listed among the World’s Top 2% Scientists in 2020 and 2021. He has successfully completed eight projects funded by DST-SERB and AICTE-TEQIP and has two patents to his credit. He is the Series Editor of the Springer book series Studies in Smart Technologies. He also serves as an Associate Editor of The International Journal of Swarm Intelligence (IJSI), published by Inderscience. In addition, he has edited several special issues of reputed international journals. His primary research interests include nature-inspired optimization techniques, soft computing, and intelligent computational methods.

Dr. Chirag Navinchandra Modi is working as an Associate Professor in the department of computer science and engineering at National Institute of Technology Goa (NIT Goa), India. He completed his PhD and M.Tech in Computer Engineering from NIT Surat in 2014 and 2010 respectively. His research areas include AI/ML, Cyber Security, Blockchain and smart grid energy management. He has successfully disseminated his research output in premier international conferences and journals with good number of citations. In addition, he holds 5 patents. He has received the Best Review Paper Award (2015) from JNCA, Elsevier, San Diego, USA, Best Paper Award from ICINPro 2021, Best Paper Award from IEEE ICBDS 2023, and Young scientist award (2015) in cloud computing specialization by VIFRA, Chennai.

Dr. Abhishek Bhatt is currently serving as a faculty member at the Centre for Artificial Intelligence (AI), Madhav Institute of Technology & Science (Deemed University), Gwalior, Madhya Pradesh. Prior to joining MITS, he was associated with the College of Engineering, Pune, and Symbiosis Skills and Professional University, Pune, as a faculty member.
He earned his Ph.D. in Machine Learning and Computer Vision from the prestigious Indian Institute of Technology, Roorkee. His research interests span across Data Science, Machine Learning, Deep Learning, Computer Vision, Pattern Recognition, Internet of Things (IoT), and Cloud Computing. With over 15 years of academic and research experience, Dr. Bhatt has published 70 plus research papers in reputed international journals and conferences. He also serves as a reviewer for leading journals such as IEEE Access and IEEE Transactions.

Prof. Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artificial Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.