Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Prashanth Viswanath"'
Publikováno v:
ICCV Workshops
Precise understanding of the scene around the car is of the utmost importance to achieve autonomous driving. Convolutional neural networks (CNNs) have been widely used for road scene understanding in the last few years with great success. Surround vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cdde6d5557c41320a7ac67940960f20
https://doi.org/10.1109/iccvw.2019.00291
https://doi.org/10.1109/iccvw.2019.00291
Publikováno v:
ICCE-Berlin
Automated driving functions, like highway driving and parking assist, are getting increasing deployed in high-end cars with the trend moving towards the self-driving car. With the advent of deep learning, many traditional computer vision techniques h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be61756f04956355b7141072e22b43b
https://doi.org/10.1109/icce-berlin.2018.8576190
https://doi.org/10.1109/icce-berlin.2018.8576190
Publikováno v:
CVPR Workshops
Majority of CNN architecture design is aimed at achieving high accuracy in public benchmarks by increasing the complexity. Typically, they are over-specified by a large margin and can be optimized by a factor of 10-100x with only a small reduction in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a6cf03530c4a9e4228b35d77debf422
https://doi.org/10.1109/cvprw.2018.00109
https://doi.org/10.1109/cvprw.2018.00109
Autor:
Pramod Kumar Swami, Shyam Jagannathan, Manu Mathew, Anshu Jain, Deepak Kumar Poddar, Prashanth Viswanath, Desappan Kumar, Soyeb Nagori
Publikováno v:
ICCE
Understanding of 3D surrounding is an important problem in Advanced Driver Assistance Systems (ADAS). Structure from Motion (SfM) is well known computer vision technique for estimating 3D structure from 2D image sequences. Inherent complexities of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e4af2696a31f4f7a3ac4ad18784933c
https://doi.org/10.1109/icce.2017.7889295
https://doi.org/10.1109/icce.2017.7889295
Autor:
Manu Mathew, Kedar Chitnis, Anshu Jain, Hrushikesh Garud, Mihir Mody, Pramod Kumar Swami, Kumar Desappan, Prashanth Viswanath, Mayank Mangla, Shashank Dabral, Shyam Jagannathan, Vikram Appia, Soyeb Nagori, Sujith Shivalingappa, Deepak Kumar Poddar
Publikováno v:
CVPR Workshops
Advanced driver assistance systems (ADAS) are becoming more and more popular. Lot of the ADAS applications such as Lane departure warning (LDW), Forward Collision Warning (FCW), Automatic Cruise Control (ACC), Auto Emergency Braking (AEB), Surround V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6057343aed31ff6033a3b3a7abd8332
https://doi.org/10.1109/cvprw.2016.107
https://doi.org/10.1109/cvprw.2016.107
Publikováno v:
ICCE
Lane departure warning (LDW) systems have gained a lot of interest over the last few years. EuroNCAP regulations mandate European car makers to have LDW system to get star rating. In this paper, we propose a simple image-based implementation of LDW s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bb53cfcceb175412fd8cf2e21f1f665
https://doi.org/10.1109/icce.2016.7430527
https://doi.org/10.1109/icce.2016.7430527
Publikováno v:
Electronic Imaging. 30:164-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f186bce4695b0d74df074dbf3bdf98f6
https://doi.org/10.2352/issn.2470-1173.2018.17.avm-164
https://doi.org/10.2352/issn.2470-1173.2018.17.avm-164
Autor:
Pramod Kumar Swami, Zoran Nikolic, Manu Mathew, Anshu Jain, Prashanth Viswanath, Mihir Mody, Soyeb Nagori, Kumar Desappan, Shyam Jagannathan, Hrushikesh Garud, Kedar Chitnis, Deepak Kumar Poddar
Publikováno v:
HiPC
Advanced driver assistance systems (ADAS) are designed to increase driver's situational awareness and road safety by providing essential information, warning and automatic intervention to reduce the possibility/severity of an accident. Of the various
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9603d18b47f244aaa57d29b3b6aa5c61
https://doi.org/10.1109/hipc.2015.56
https://doi.org/10.1109/hipc.2015.56
Autor:
Pramod Kumar Swami, Anoop K. Pathayapurakkal, Kumar Desappan, Anshu Jain, Prashanth Viswanath
Publikováno v:
Computer Vision-ACCV 2014 Workshops ISBN: 9783319166278
ACCV Workshops (1)
ACCV Workshops (1)
One of the key challenges today in computer vision applications is to be able to reliably detect features in real-time. The most prominent feature extraction methods are Speeded up Robust Features(SURF), Scale Invariant Feature Transform(SIFT) and Or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e20db465fa35208e53e950b2041d900
https://doi.org/10.1007/978-3-319-16628-5_48
https://doi.org/10.1007/978-3-319-16628-5_48
Publikováno v:
ICCE
Advanced Driver Assistance Systems (ADAS) are used to assist driver by providing real-time information about cross traffic, parking space and so on. Such applications require a fair amount of processing to be done on the incoming video feed. It has b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65e982b02df1b936dd261015eb2f49a8
https://doi.org/10.1109/icce.2014.6775971
https://doi.org/10.1109/icce.2014.6775971