Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Carl Wellington"'
Publikováno v:
IEEE Signal Processing Magazine. 38:68-86
We present a review of 3D point cloud processing and learning for autonomous driving. As one of the most important sensors in autonomous vehicles (AVs), lidar sensors collect 3D point clouds that precisely record the external surfaces of objects and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::660e60eb97d19505c0b4efde436e33cb
https://doi.org/10.1109/msp.2020.2984780
https://doi.org/10.1109/msp.2020.2984780
Autor:
Zhaoen Su, Fang-Chieh Chou, Sidney Zhang, Gregory P. Meyer, Yang Xu, Carlos Vallespi-Gonzalez, Rui Hu, Song Feng, Brian C. Becker, Shangxuan Wu, Henggang Cui, Carl Wellington, Alyssa Dayan, Huahua Wang, Luisa San Martin, Nemanja Djuric
One of the critical pieces of the self-driving puzzle is understanding the surroundings of a self-driving vehicle (SDV) and predicting how these surroundings will change in the near future. To address this task we propose MultiXNet, an end-to-end app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6392dd8472c4d4bc6e9365dfcd1b0c27
http://arxiv.org/abs/2006.02000
http://arxiv.org/abs/2006.02000
Autor:
Jake Charland, Ankit Laddha, Shivam Gautam, Shreyash Pandey, Gregory P. Meyer, Carl Wellington, Carlos Vallespi-Gonzalez
In this work, we present LaserFlow, an efficient method for 3D object detection and motion forecasting from LiDAR. Unlike the previous work, our approach utilizes the native range view representation of the LiDAR, which enables our method to operate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d909c094b99af659c7edd6b3d422e23
http://arxiv.org/abs/2003.05982
http://arxiv.org/abs/2003.05982
Autor:
Deva Ramanan, Peiyun Hu, Benzun P. Wisely Babu, Trenton Tabor, Herman Herman, Jonathan K. Chang, Carl Wellington, Zachary Pezzementi
Publikováno v:
Journal of Field Robotics. 35:545-563
Person detection from vehicles has made rapid progress recently with the advent of multiple high-quality datasets of urban and highway driving, yet no large-scale benchmark is available for the same problem in off-road or agricultural environments. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::631dd35fda587d7b5b8c154d9d4d922f
https://doi.org/10.1002/rob.21760
https://doi.org/10.1002/rob.21760
Publikováno v:
CVPR
In this paper, we present LaserNet, a computationally efficient method for 3D object detection from LiDAR data for autonomous driving. The efficiency results from processing LiDAR data in the native range view of the sensor, where the input data is n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67f398651da470819e9d7fd03ed8ccb5
http://arxiv.org/abs/1903.08701
http://arxiv.org/abs/1903.08701
Autor:
G. Clark Haynes, Alonzo Kelly, Christopher M. Dellin, Jordan Brindza, Jean-Philippe Tardif, J. Andrew Bagnell, Justin Scheifflee, David Rice, Oscar E. Ramos, J. Michael Vande Weghe, Michael George, Raumi Sidki, Matt Powers, Herman Herman, Kyle Strabala, Sean Hyde, Jean-Sebastien Valois, Eric Meyhofer, Michael Wagner, Michel Laverne, Jose Gonzalez-Mora, Maxim Likhachev, Brian Zajac, David Stager, Carl Wellington, Levi Lister, Justin Ray, Morgan Jones, Siddhartha S. Srinivasa, Anthony Stentz
Publikováno v:
Journal of Field Robotics. 32:209-228
We have developed the CHIMP CMU Highly Intelligent Mobile Platform robot as a platform for executing complex tasks in dangerous, degraded, human-engineered environments. CHIMP has a near-human form factor, work-envelope, strength, and dexterity to wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ded5247f1b80fd4f16760ed86f0cb0d9
https://doi.org/10.1002/rob.21569
https://doi.org/10.1002/rob.21569
Autor:
Ahmed Abed Ali Al-Jumaili, Joe Mari Maja, Reza Ehsani, Lav R. Khot, Joan Campoy, Carl Wellington
Publikováno v:
Transactions of the ASABE. :1007-1013
This study evaluated a retrofit air-assisted sprayer, a conventional axial-fan air-blast sprayer, and a multifan vertical air-blast sprayer for their application efficiency in citrus orchards. Field experiments involved three spray application treatm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6e1d2745dc3f1cfa55c65dfe9b6cdf0
https://doi.org/10.13031/trans.57.10419
https://doi.org/10.13031/trans.57.10419
Autor:
Lav R. Khot, Carl Wellington, Peter Ako Larbi, Gene Albrigo, Reza Ehsani, Andrew J. Landers, Joan Campoy
Publikováno v:
Biosystems Engineering. 113:76-85
An axial-fan air-assisted sprayer, adapted with variable rate nozzles and adjustable air-assist flow control, for citrus tree-specific precision spraying, was tested. Static experiments were conducted to determine spray patterns at varied nozzle flow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06f0e1070f7e1d3488d4d0f9b17007fd
https://doi.org/10.1016/j.biosystemseng.2012.06.008
https://doi.org/10.1016/j.biosystemseng.2012.06.008
Publikováno v:
SSRR
Robotics offers a great opportunity to improve efficiency while also improving safety, but reliable detection of humans in off-road environments remains a key challenge. We present a person detector evaluation on a dataset collected from an autonomou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2df62d1550c4ab2bc10707889f65f3b6
https://doi.org/10.1109/ssrr.2015.7442951
https://doi.org/10.1109/ssrr.2015.7442951
Publikováno v:
The International Journal of Robotics Research. 25:1287-1304
Current approaches to off-road autonomous navigation are often limited by their ability to build a terrain model from sensor data. Available sensors make very indirect measurements of quantities of interest such as the supporting ground height and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7754cd0588243c608c5bff06a3262e76
https://doi.org/10.1177/0278364906072769
https://doi.org/10.1177/0278364906072769