Zobrazeno 1 - 10
of 29
pro vyhledávání: '"David J. Yoon"'
Publikováno v:
Journal of Organizational Behavior. 43:1015-1037
Publikováno v:
Review of Managerial Science.
Publikováno v:
Journal of Organizational Behavior. 43:763-782
Autor:
Yuchen Wu, David J. Yoon, Keenan Burnett, Soeren Kammel, Yi Chen, Heethesh Vhavle, Timothy D. Barfoot
Frequency-Modulated Continuous-Wave (FMCW) lidar is a recently emerging technology that additionally enables per-return instantaneous relative radial velocity measurements via the Doppler effect. In this letter, we present the first continuous-time l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6634fe8b5cdde9e068abe61e375f8d7
http://arxiv.org/abs/2209.03304
http://arxiv.org/abs/2209.03304
Publikováno v:
IEEE Robotics and Automation Letters. 6:2130-2138
We present unsupervised parameter learning in a Gaussian variational inference setting that combines classic trajectory estimation for mobile robots with deep learning for rich sensor data, all under a single learning objective. The framework is an e
Autor:
Keenan Burnett, David J Yoon, Yuchen Wu, Andrew Z Li, Haowei Zhang, Shichen Lu, Jingxing Qian, Wei-Kang Tseng, Andrew Lambert, Keith YK Leung, Angela P Schoellig, Timothy D Barfoot
The Boreas dataset was collected by driving a repeated route over the course of one year, resulting in stark seasonal variations and adverse weather conditions such as rain and falling snow. In total, the Boreas dataset includes over 350km of driving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09380dd13e27e7c9fc7dbdcaa79b90ce
http://arxiv.org/abs/2203.10168
http://arxiv.org/abs/2203.10168
We present an extensive comparison between three topometric localization systems: radar-only, lidar-only, and a cross-modal radar-to-lidar system across varying seasonal and weather conditions using the Boreas dataset. Contrary to our expectations, o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07ae36c1d6c7c3738fcdb6a3da87b0fb
Autor:
David J. Yoon
Publikováno v:
The Service Industries Journal. 42:81-106
On the basis of the self-determination theory, we develop and test an integrative framework that explains when and why customer incivility impairs employee service performance. Using multisource da...
Publikováno v:
The International Journal of Robotics Research. 39:1473-1502
We present a Gaussian Variational Inference (GVI) technique that can be applied to large-scale nonlinear batch state estimation problems. The main contribution is to show how to fit both the mean and (inverse) covariance of a Gaussian to the posterio
Autor:
Kaicheng Zhang, Keenan Burnett, Linqiao Liu, Michael J. Sorocky, Sepehr Samavi, Timothy D. Barfoot, Arkady Arkhangorodsky, Angela P. Schoellig, Mollie Bianchi, Yizhou Huang, Jingxing Qian, Quinlan Sykora, Susan Sun, Xintong Du, Tianchang Shen, Shichen Lu, David J. Yoon
Publikováno v:
Journal of Field Robotics. 38:139-166
The SAE AutoDrive Challenge is a three-year collegiate competition to develop a self-driving car by 2020. The second year of the competition was held in June 2019 at MCity, a mock town built for self-driving car testing at the University of Michigan.