Zobrazeno 1 - 10
of 1 751
pro vyhledávání: '"P. Redford"'
Autor:
Gunn, James, Lenyk, Zygmunt, Sharma, Anuj, Donati, Andrea, Buburuzan, Alexandru, Redford, John, Mueller, Romain
Combining complementary sensor modalities is crucial to providing robust perception for safety-critical robotics applications such as autonomous driving (AD). Recent state-of-the-art camera-lidar fusion methods for AD rely on monocular depth estimati
Externí odkaz:
http://arxiv.org/abs/2312.14919
Autonomous driving (AD) systems are often built and tested in a modular fashion, where the performance of different modules is measured using task-specific metrics. These metrics should be chosen so as to capture the downstream impact of each module
Externí odkaz:
http://arxiv.org/abs/2311.12722
Autor:
Redford, Steven A., Colen, Jonathan, Shivers, Jordan L., Zemsky, Sasha, Molaei, Mehdi, Floyd, Carlos, Ruijgrok, Paul V., Vitelli, Vincenzo, Bryant, Zev, Dinner, Aaron R., Gardel, Margaret L.
In active materials, uncoordinated internal stresses lead to emergent long-range flows. An understanding of how the behavior of active materials depends on mesoscopic (hydrodynamic) parameters is developing, but there remains a gap in knowledge conce
Externí odkaz:
http://arxiv.org/abs/2308.16831
The ability to anticipate pedestrian motion changes is a critical capability for autonomous vehicles. In urban environments, pedestrians may enter the road area and create a high risk for driving, and it is important to identify these cases. Typical
Externí odkaz:
http://arxiv.org/abs/2305.15942
Autor:
Molaei, Mehdi, Redford, Steven A., Chou, Wen-hung, Scheff, Danielle, de Pablo, Juan J., Oakes, Patrick W., Gardel, Margaret L.
From flocks of birds to biomolecular assemblies, systems in which many individual components independently consume energy to perform mechanical work exhibit a wide array of striking behaviors. Methods to quantify the dynamics of these so called activ
Externí odkaz:
http://arxiv.org/abs/2303.17785
Autor:
Liu, L. -J., Janssen, R. M. J., Bradford, C. M., Hailey-Dunsheath, S., Fu, J., Filippini, J. P., Aguirre, J. E., Bracks, J. S., Corso, A. J., Groppi, C., Hoh, J., Keenan, R. P., Lowe, I. N., Marrone, D. P., Mauskopf, P., Nie, R., Redford, J., Trumper, I., Vieira, J. D.
We report on the kinetic inductance detector (KID) array focal plane assembly design for the Terahertz Intensity Mapper (TIM). Each of the 2 arrays consists of 4 wafer-sized dies (quadrants), and the overall assembly must satisfy thermal and mechanic
Externí odkaz:
http://arxiv.org/abs/2211.09351
Autor:
Liu, L. -J., Janssen, R. M. J, Bradford, C. M., Hailey-Dunsheath, S., Filippini, J. P., Aguirre, J. E., Bracks, J. S., Corso, A. J., Fu, J., Groppi, C., Hoh, J., Keenan, R. P., Lowe, I. N., Marrone, D. P., Mauskopf, P., Nie, R., Redford, J., Trumper, I., Vieira, J. D.
Publikováno v:
Proceedings of the SPIE, Volume 12190 (2022)
The Terahertz Intensity Mapper (TIM) is designed to probe the star formation history in dust-obscured star-forming galaxies around the peak of cosmic star formation. This will be done via measurements of the redshifted 157.7 um line of singly ionized
Externí odkaz:
http://arxiv.org/abs/2211.09308
Autor:
Knittel, Anthony, Hawasly, Majd, Albrecht, Stefano V., Redford, John, Ramamoorthy, Subramanian
Publikováno v:
IEEE Robotics and Automation Letters, vol. 8, no. 8, pp. 4887-4894, Aug. 2023
Accurate prediction is important for operating an autonomous vehicle in interactive scenarios. Prediction must be fast, to support multiple requests from a planner exploring a range of possible futures. The generated predictions must accurately repre
Externí odkaz:
http://arxiv.org/abs/2210.06106
In engineering design, one often wishes to calculate the probability that the performance of a system is satisfactory under uncertainty. State of the art algorithms exist to solve this problem using active learning with Gaussian process models. Howev
Externí odkaz:
http://arxiv.org/abs/2210.02168
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence, 37(12), 14692-14700 (2023)
There is a longstanding interest in capturing the error behaviour of object detectors by finding images where their performance is likely to be unsatisfactory. In real-world applications such as autonomous driving, it is also crucial to characterise
Externí odkaz:
http://arxiv.org/abs/2209.11559