Seuraa
Wenxin Liu
Wenxin Liu
University of Pennsylvania
Vahvistettu sähköpostiosoite verkkotunnuksessa seas.upenn.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Tlio: Tight learned inertial odometry
W Liu, D Caruso, E Ilg, J Dong, AI Mourikis, K Daniilidis, V Kumar, J Engel
IEEE Robotics and Automation Letters 5 (4), 5653-5660, 2020
1502020
Bayesian deep basis fitting for depth completion with uncertainty
C Qu, W Liu, CJ Taylor
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
282021
Nuclear environments inspection with micro aerial vehicles: Algorithms and experiments
D Thakur, G Loianno, W Liu, V Kumar
Proceedings of the 2018 International Symposium on Experimental Robotics …, 2020
272020
Robustness meets deep learning: An end-to-end hybrid pipeline for unsupervised learning of egomotion
AZ Zhu, W Liu, Z Wang, V Kumar, K Daniilidis
arXiv preprint arXiv:1812.08351, 2018
262018
The tiercel: A novel autonomous micro aerial vehicle that can map the environment by flying into obstacles
Y Mulgaonkar, W Liu, D Thakur, K Daniilidis, CJ Taylor, V Kumar
2020 IEEE International Conference on Robotics and Automation (ICRA), 7448-7454, 2020
242020
Llol: Low-latency odometry for spinning lidars
C Qu, SS Shivakumar, W Liu, CJ Taylor
2022 International Conference on Robotics and Automation (ICRA), 4149-4155, 2022
102022
Semi-dense visual-inertial odometry and mapping for quadrotors with swap constraints
W Liu, G Loianno, K Mohta, K Daniilidis, V Kumar
2018 IEEE International Conference on Robotics and Automation (ICRA), 3904-3909, 2018
92018
A 6D-pose estimation method for UAV using known lines
W Liu, S Yang, M Liu
2015 IEEE International Conference on Cyber Technology in Automation …, 2015
72015
Semi-dense visual-inertial odometry and mapping for computationally constrained platforms
W Liu, K Mohta, G Loianno, K Daniilidis, V Kumar
Autonomous Robots 45 (6), 773-787, 2021
52021
HKUST IARC Team Progress Report
S YANG, Y YU, Z ZHOU, J YING, W LIU, M WANG
12014
Visual-Inertial State Estimation with Information Deficiency
W Liu
University of Pennsylvania, 2022
2022
Supplementary Material: Bayesian Deep Basis Fitting for Depth Completion with Uncertainty
C Qu, W Liu, CJ Taylor
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–12