Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shreyas S. Shivakumar"'
Autor:
Trey Smith, Anthony Cowley, Ty Nguyen, Ian D. Miller, Ravi Konkimalla, Camillo J. Taylor, Vijay Kumar, Shreyas S. Shivakumar
Currently, GPS is by far the most popular global localization method. However, it is not always reliable or accurate in all environments. SLAM methods enable local state estimation but provide no means of registering the local map to a global one, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::404603d2c87af586c445ede7635ac6a6
http://arxiv.org/abs/2203.08925
http://arxiv.org/abs/2203.08925
In this paper, we describe Direct Sparse Odometry Lite (DSOL), an improved version of Direct Sparse Odometry (DSO). We propose several algorithmic and implementation enhancements which speed up computation by a significant factor (on average 5x) even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e300b45aae621dbe313503e678673b9
Autor:
Neil Rodrigues, Alex Zhou, Ian D. Miller, Camillo J. Taylor, Shreyas S. Shivakumar, Vijay Kumar
Publikováno v:
ICRA
In this work we propose long wave infrared (LWIR) imagery as a viable supporting modality for semantic segmentation using learning-based techniques. We first address the problem of RGB-thermal camera calibration by proposing a passive calibration tar
Autor:
Vijay Kumar, Sandeep Dcunha, Edidiong Okon, Shreyas S. Shivakumar, Camillo J. Taylor, Steven W. Chen, Jnaneshwar Das, Chao Qu
Publikováno v:
IEEE Robotics and Automation Letters. 2:781-788
This paper describes a fruit counting pipeline based on deep learning that accurately counts fruit in unstructured environments. Obtaining reliable fruit counts is challenging because of variations in appearance due to illumination changes and occlus
Autor:
Fernando Cladera, Alex Zhou, Avraham Cohen, Camillo J. Taylor, James Laney, Vijay Kumar, Laura Jarin-Lipschitz, Ian D. Miller, Elijah S. Lee, Shreyas S. Shivakumar, Adarsh Kulkarni, Akhilesh Bhat, Neil Rodrigues, Anthony Cowley
Robotic exploration of underground environments is a particularly challenging problem due to communication, endurance, and traversability constraints which necessitate high degrees of autonomy and agility. These challenges are further exacerbated by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::302b70240bb25843ed7f1ffc95509473
http://arxiv.org/abs/1909.09662
http://arxiv.org/abs/1909.09662
Autor:
Shreyas S. Shivakumar, Ty Nguyen, Vijay Kumar, Steven W. Chen, Ian D. Miller, Camillo J. Taylor
Publikováno v:
ITSC
In this paper we propose a convolutional neural network that is designed to upsample a series of sparse range measurements based on the contextual cues gleaned from a high resolution intensity image. Our approach draws inspiration from related work o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f1b380f7ef5acfa9ef94180dc823c12
http://arxiv.org/abs/1902.00761
http://arxiv.org/abs/1902.00761
Autor:
Giuseppe Loianno, James Keller, Ty Nguyen, Vijay Kumar, Alex Zhou, Shreyas S. Shivakumar, Elijah S. Lee, Ian D. Miller, Joseph H. Harwood, Tolga Ozaslan, Jennifer M. Wozencraft, Camillo J. Taylor
Real-time semantic image segmentation on platforms subject to size, weight and power (SWaP) constraints is a key area of interest for air surveillance and inspection. In this work, we propose MAVNet: a small, light-weight, deep neural network for rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3094e05c0e7a62fe9c30d5061973dbf
Autor:
Jnaneshwar Das, Xu Liu, Chenhao Liu, Shreyas S. Shivakumar, Camillo J. Taylor, Vijay Kumar, Steven W. Chen, James Underwood
We present a cheap, lightweight, and fast fruit counting pipeline that uses a single monocular camera. Our pipeline that relies only on a monocular camera, achieves counting performance comparable to state-of-the-art fruit counting system that utiliz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2083120981d0a916ab72a4e22f8dbe4e
http://arxiv.org/abs/1811.01417
http://arxiv.org/abs/1811.01417
Autor:
Sikang Liu, Yash Mulgaonkar, Mikael Arguedas, Morgan Quigley, Bernd G. Pfrommer, Vijay Kumar, Michael Watterson, Ke Sun, Kartik Mohta, Shreyas S. Shivakumar, Camillo J. Taylor
Publikováno v:
ICRA
In this paper we describe the Open Vision Computer (OVC) which was designed to support high speed, vision guided autonomous drone flight. In particular our aim was to develop a system that would be suitable for relatively small-scale flying platforms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::123aec4349379c03f9794e69690a8888
http://arxiv.org/abs/1809.07674
http://arxiv.org/abs/1809.07674
Publikováno v:
ICRA
We present an approach to depth estimation that fuses information from a stereo pair with sparse range measurements derived from a LIDAR sensor or a range camera. The goal of this work is to exploit the complementary strengths of the two sensor modal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34650d15b35ec65c85380485dec2adcc
http://arxiv.org/abs/1809.07677
http://arxiv.org/abs/1809.07677