Zobrazeno 1 - 10
of 266
pro vyhledávání: '"Yoon, David"'
Autor:
Sharma, Sanat, Yoon, David Seunghyun, Dernoncourt, Franck, Sultania, Dewang, Bagga, Karishma, Zhang, Mengjiao, Bui, Trung, Kotte, Varun
Question answering (QA) has become an important application in the advanced development of large language models. General pre-trained large language models for question-answering are not trained to properly understand the knowledge or terminology for
Externí odkaz:
http://arxiv.org/abs/2404.14760
Autor:
Lisus, Daniil, Burnett, Keenan, Yoon, David J., Poulton, Richard, Marshall, John, Barfoot, Timothy D.
Spinning, frequency-modulated continuous-wave (FMCW) radars with 360 degree coverage have been gaining popularity for autonomous-vehicle navigation. However, unlike 'fixed' automotive radar, commercially available spinning radar systems typically do
Externí odkaz:
http://arxiv.org/abs/2404.01537
Autor:
Saad-Falcon, Jon, Barrow, Joe, Siu, Alexa, Nenkova, Ani, Yoon, David Seunghyun, Rossi, Ryan A., Dernoncourt, Franck
Large Language Models (LLMs) have issues with document question answering (QA) in situations where the document is unable to fit in the small context length of an LLM. To overcome this issue, most existing works focus on retrieving the relevant conte
Externí odkaz:
http://arxiv.org/abs/2309.08872
Autor:
Yoon, David J., Burnett, Keenan, Laconte, Johann, Chen, Yi, Vhavle, Heethesh, Kammel, Soeren, Reuther, James, Barfoot, Timothy D.
In this paper, we present a fast, lightweight odometry method that uses the Doppler velocity measurements from a Frequency-Modulated Continuous-Wave (FMCW) lidar without data association. FMCW lidar is a recently emerging technology that enables per-
Externí odkaz:
http://arxiv.org/abs/2303.06511
Autor:
Yoon, David J., Barfoot, Timothy D.
In this paper, we present an algorithm for learning time-correlated measurement covariances for application in batch state estimation. We parameterize the inverse measurement covariance matrix to be block-banded, which conveniently factorizes and res
Externí odkaz:
http://arxiv.org/abs/2303.06507
Autor:
Wu, Yuchen, Yoon, David J., Burnett, Keenan, Kammel, Soeren, Chen, Yi, Vhavle, Heethesh, Barfoot, Timothy D.
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:
http://arxiv.org/abs/2209.03304
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:
http://arxiv.org/abs/2203.10174
Autor:
Burnett, Keenan, Yoon, David J., Wu, Yuchen, Li, Andrew Zou, Zhang, Haowei, Lu, Shichen, Qian, Jingxing, Tseng, Wei-Kang, Lambert, Andrew, Leung, Keith Y. K., Schoellig, Angela P., Barfoot, Timothy D.
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:
http://arxiv.org/abs/2203.10168