Zobrazeno 1 - 10
of 608
pro vyhledávání: '"A. Gloudemans"'
Autor:
Ji, Junyi, Gloudemans, Derek, Wang, Yanbing, Zachár, Gergely, Barbour, William, Sprinkle, Jonathan, Piccoli, Benedetto, Work, Daniel B.
Analyzing stop-and-go waves at the scale of miles and hours of data is an emerging challenge in traffic research. In the past, datasets were of limited scale and could be easily analyzed by hand or with rudimentary methods to identify a very limited
Externí odkaz:
http://arxiv.org/abs/2409.00326
Autor:
Ji, Junyi, Richardson, Alex, Gloudemans, Derek, Zachár, Gergely, Nice, Matthew, Barbour, William, Sprinkle, Jonathan, Piccoli, Benedetto, Work, Daniel B.
Stop-and-go waves are a fundamental phenomenon in freeway traffic flow, contributing to inefficiencies, crashes, and emissions. Recent advancements in high-fidelity sensor technologies have improved the ability to capture detailed traffic dynamics, y
Externí odkaz:
http://arxiv.org/abs/2408.00941
Autor:
Lee, Jonathan W., Wang, Han, Jang, Kathy, Hayat, Amaury, Bunting, Matthew, Alanqary, Arwa, Barbour, William, Fu, Zhe, Gong, Xiaoqian, Gunter, George, Hornstein, Sharon, Kreidieh, Abdul Rahman, Lichtlé, Nathan, Nice, Matthew W., Richardson, William A., Shah, Adit, Vinitsky, Eugene, Wu, Fangyu, Xiang, Shengquan, Almatrudi, Sulaiman, Althukair, Fahd, Bhadani, Rahul, Carpio, Joy, Chekroun, Raphael, Cheng, Eric, Chiri, Maria Teresa, Chou, Fang-Chieh, Delorenzo, Ryan, Gibson, Marsalis, Gloudemans, Derek, Gollakota, Anish, Ji, Junyi, Keimer, Alexander, Khoudari, Nour, Mahmood, Malaika, Mahmood, Mikail, Matin, Hossein Nick Zinat, Mcquade, Sean, Ramadan, Rabie, Urieli, Daniel, Wang, Xia, Wang, Yanbing, Xu, Rita, Yao, Mengsha, You, Yiling, Zachár, Gergely, Zhao, Yibo, Ameli, Mostafa, Baig, Mirza Najamuddin, Bhaskaran, Sarah, Butts, Kenneth, Gowda, Manasi, Janssen, Caroline, Lee, John, Pedersen, Liam, Wagner, Riley, Zhang, Zimo, Zhou, Chang, Work, Daniel B., Seibold, Benjamin, Sprinkle, Jonathan, Piccoli, Benedetto, Monache, Maria Laura Delle, Bayen, Alexandre M.
The CIRCLES project aims to reduce instabilities in traffic flow, which are naturally occurring phenomena due to human driving behavior. These "phantom jams" or "stop-and-go waves,"are a significant source of wasted energy. Toward this goal, the CIRC
Externí odkaz:
http://arxiv.org/abs/2402.17043
Autor:
Ji, Junyi, Wang, Yanbing, Gloudemans, Derek, Zachár, Gergely, Barbour, William, Work, Daniel B.
This article introduces a new virtual trajectory dataset derived from the I-24 MOTION INCEPTION v1.0.0 dataset to address challenges in analyzing large but noisy trajectory datasets. Building on the concept of virtual trajectories, we provide a Pytho
Externí odkaz:
http://arxiv.org/abs/2311.10888
Autor:
Hayat, Amaury, Alanqary, Arwa, Bhadani, Rahul, Denaro, Christopher, Weightman, Ryan J., Xiang, Shengquan, Lee, Jonathan W., Bunting, Matthew, Gollakota, Anish, Nice, Matthew W., Gloudemans, Derek, Zachar, Gergely, Davis, Jon F., Monache, Maria Laura Delle, Seibold, Benjamin, Bayen, Alexandre M., Sprinkle, Jonathan, Work, Daniel B., Piccoli, Benedetto
The dissipation of stop-and-go waves attracted recent attention as a traffic management problem, which can be efficiently addressed by automated driving. As part of the 100 automated vehicles experiment named MegaVanderTest, feedback controls were us
Externí odkaz:
http://arxiv.org/abs/2310.18151
Autor:
Gloudemans, Derek, Zachár, Gergely, Wang, Yanbing, Ji, Junyi, Nice, Matt, Bunting, Matt, Barbour, William, Sprinkle, Jonathan, Piccoli, Benedetto, Monache, Maria Laura Delle, Bayen, Alexandre, Seibold, Benjamin, Work, Daniel B.
This work introduces a multi-camera tracking dataset consisting of 234 hours of video data recorded concurrently from 234 overlapping HD cameras covering a 4.2 mile stretch of 8-10 lane interstate highway near Nashville, TN. The video is recorded dur
Externí odkaz:
http://arxiv.org/abs/2309.07268
Monocular 3D object detection is a challenging task because depth information is difficult to obtain from 2D images. A subset of viewpoint-agnostic monocular 3D detection methods also do not explicitly leverage scene homography or geometry during tra
Externí odkaz:
http://arxiv.org/abs/2309.07104
Autor:
Gloudemans, A. J., Saxena, A., Intema, H., Callingham, J. R., Duncan, K. J., Rottgering, H. J. A., Belladitta, S., Hardcastle, M. J., Harikane, Y., Spingola, C.
Publikováno v:
A&A 678, A128 (2023)
We present the low-frequency radio spectra of 9 high-redshift quasars at $5.6 \leq z \leq 6.6$ using the Giant Metre Radio Telescope band-3, -4, and -5 observations ($\sim$300-1200 MHz), archival Low Frequency Array (LOFAR; 144 MHz), and Very Large A
Externí odkaz:
http://arxiv.org/abs/2309.03936
Autor:
Gloudemans, A. J., Callingham, J. R., Duncan, K. J., Saxena, A., Harikane, Y., Hill, G. J., Zeimann, G. R., Rottgering, H. J. A., Hardcastle, M. J., Pineda, J. S., Shimwell, T. W., Smith, D. J. B., Wagenveld, J. D.
Publikováno v:
A&A 678, A161 (2023)
We present the serendipitous discovery of 8 distant ($>$ 50 pc) late M dwarfs with plausible associated radio emission at 144 MHz. The M dwarf nature of our sources has been confirmed with optical spectroscopy performed using HET/LRS2 and Subaru/FOCA
Externí odkaz:
http://arxiv.org/abs/2309.01741
This work presents a novel video dataset recorded from overlapping highway traffic cameras along an urban interstate, enabling multi-camera 3D object tracking in a traffic monitoring context. Data is released from 3 scenes containing video from at le
Externí odkaz:
http://arxiv.org/abs/2308.14833