Senthil Yogamani

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Varun Ravi KumarPhD | Staff Engineer for Autonomous Driving, QualcommEmail yang diverifikasi di qti.qualcomm.com
B Ravi KiranMultimodal Perception, Technical Lead | Staff Engineer, QualcommEmail yang diverifikasi di qti.qualcomm.com
Mennatullah SiamOntario Tech UniversityEmail yang diverifikasi di ontariotechu.ca
Patrick MäderProf. Dr.-Ing. of Computer Science, Technische Universität Ilmenau | iDiv | FSU JenaEmail yang diverifikasi di tu-ilmenau.de
patrick pérezkyutaiEmail yang diverifikasi di kyutai.org
Martin JagersandUniversity of AlbertaEmail yang diverifikasi di cs.ualberta.ca
Ciarán EisingUniversity of LimerickEmail yang diverifikasi di ul.ie
Samir A. RawashdehUniversity of Michigan - DearbornEmail yang diverifikasi di umich.edu
Tim FingscheidtProfessor, IEEE Fellow, ITG Fellow, Technische Universität Braunschweig, GermanyEmail yang diverifikasi di tu-bs.de
John McDonaldProfessor, Maynooth UniversityEmail yang diverifikasi di mu.ie
Fatih PorikliQualcomm, Australian National UniversityEmail yang diverifikasi di anu.edu.au
Ujjwal BhattacharyaComputer Vision and Pattern Recognition Unit, Indian Statistical Institute, KolkataEmail yang diverifikasi di isical.ac.in
Louis KerofskyDirector of Engineering, QualcommEmail yang diverifikasi di qti.qualcomm.com
K. R. RamakrishnanIndian Institute of ScienceEmail yang diverifikasi di ee.iisc.ernet.in
Abhinav ValadaProfessor & Director of Robot Learning Lab, University of FreiburgEmail yang diverifikasi di cs.uni-freiburg.de
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergEmail yang diverifikasi di utn.de
Sunil GuptaProfessor, Head of AI Optimization and Materials Discovery, Deakin UniversityEmail yang diverifikasi di deakin.edu.au
Chiranjib BhattacharyyaProfessor, Indian Institute of ScienceEmail yang diverifikasi di csa.iisc.ernet.in
Thomas BroxUniversity of FreiburgEmail yang diverifikasi di cs.uni-freiburg.de
R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, IndiaEmail yang diverifikasi di iisc.ac.in

Ikuti

Senthil Yogamani

Nama lainnyaSenthil Kumar Yogamani

Engineering Director, Data-centric AI for Autonomous Driving at Qualcomm Inc

Email yang diverifikasi di qualcomm.com - Beranda

Autonomous Driving Multimodal Perception Data-centric AI Computer Vision


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Deep reinforcement learning for autonomous driving: A survey BR Kiran, I Sobh, V Talpaert, P Mannion, A Sallab, S Yogamani, P Pérez IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2021	2294	2021
Deep reinforcement learning framework for autonomous driving A Sallab, M Abdou, E Perot, S Yogamani Electronic Imaging, Autonomous Vehicles and Machines (EI AVM), 2017	1400	2017
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving S Yogamani, C Hughes, J Horgan, G Sistu, P Varley, D O'Dea, M Uricár, ... IEEE/CVF International Conference on Computer Vision (ICCV), 2019	329	2019
Deep learning in computer vision: principles and applications M Hassaballah, AI Awad, ( S Yogamani - Book chapter author ) CRC Press Book, 2020	240	2020
Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges M Siam, S Elkerdawy, M Jagersand, S Yogamani IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017	226	2017
End-to-end deep reinforcement learning for lane keeping assist AE Sallab, M Abdou, E Perot, S Yogamani NeurIPS Workshop on ML for Intelligent Transportation Systems (NeurIPSW), 2017	223	2017
A comparative study of real-time semantic segmentation for autonomous driving M Siam, M Gamal, M Abdel-Razek, S Yogamani, M Jagersand, H Zhang IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018	201	2018
Computer vision in automated parking systems: Design, implementation and challenges M Heimberger, J Horgan, C Hughes, J McDonald, S Yogamani Image and Vision Computing Journal (IVC), 2017	153	2017
RTSeg: Real-time semantic segmentation comparative study M Siam, M Gamal, M Abdel-Razek, S Yogamani, M Jagersand IEEE International Conference on Image Processing (ICIP), 2018	146	2018
Visual slam for automated driving: Exploring the applications of deep learning S Milz, G Arbeiter, C Witt, B Abdallah, S Yogamani IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018	138	2018
FuseSeg: Rgb and lidar fusion based 3d semantic segmentation for autonomous driving K El Madawi, H Rashed, A El Sallab, O Nasr, H Kamel, S Yogamani IEEE Intelligent Transportation Systems Conference (ITSC), 2019	129	2019
FuseModNet: Real-time camera and lidar based moving object detection for robust low-light autonomous driving H Rashed, M Ramzy, V Vaquero, A El Sallab, G Sistu, S Yogamani IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019	124	2019
MODNet: Motion and appearance based moving object detection network for autonomous driving M Siam, H Mahgoub, M Zahran, S Yogamani, M Jagersand, A El-Sallab International Conference on Intelligent Transportation Systems (ITSC), 2018	113	2018
MultiNet++: Multi-stream feature aggregation and geometric loss strategy for multi-task learning S Chennupati, G Sistu, S Yogamani, S A Rawashdeh IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019	111	2019
OmniDet: Surround view cameras based multi-task visual perception network for autonomous driving VR Kumar, S Yogamani, H Rashed, G Sitsu, C Witt, I Leang, S Milz, ... [RA-L + ICRA] IEEE Robotics and Automation Letters + IEEE International …, 2021	108	2021
SynDistNet: Self-supervised monocular fisheye camera distance estimation synergized with semantic segmentation for autonomous driving VR Kumar, M Klingner, S Yogamani, S Milz, T Fingscheidt, P Mader IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021	95	2021
Exploring applications of deep reinforcement learning for real-world autonomous driving systems V Talpaert, I Sobh, BR Kiran, P Mannion, S Yogamani, A El-Sallab, ... International Joint Conference on Computer Vision (VISAPP), 2019	91	2019
Generalized object detection on fisheye cameras for autonomous driving: Dataset, representations and baseline H Rashed, E Mohamed, G Sistu, VR Kumar, C Eising, A El-Sallab, ... IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021	90	2021
Vision-based driver assistance systems: Survey, taxonomy and advances J Horgan, C Hughes, J McDonald, S Yogamani IEEE International Conference on Intelligent Transportation Systems (ITSC), 2015	85	2015
Surround-view fisheye camera perception for automated driving: Overview, survey & challenges VR Kumar, C Eising, C Witt, S Yogamani IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023	82	2023

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