no code implementations • 24 Aug 2023 • Jakob Engel, Kiran Somasundaram, Michael Goesele, Albert Sun, Alexander Gamino, Andrew Turner, Arjang Talattof, Arnie Yuan, Bilal Souti, Brighid Meredith, Cheng Peng, Chris Sweeney, Cole Wilson, Dan Barnes, Daniel DeTone, David Caruso, Derek Valleroy, Dinesh Ginjupalli, Duncan Frost, Edward Miller, Elias Mueggler, Evgeniy Oleinik, Fan Zhang, Guruprasad Somasundaram, Gustavo Solaira, Harry Lanaras, Henry Howard-Jenkins, Huixuan Tang, Hyo Jin Kim, Jaime Rivera, Ji Luo, Jing Dong, Julian Straub, Kevin Bailey, Kevin Eckenhoff, Lingni Ma, Luis Pesqueira, Mark Schwesinger, Maurizio Monge, Nan Yang, Nick Charron, Nikhil Raina, Omkar Parkhi, Peter Borschowa, Pierre Moulon, Prince Gupta, Raul Mur-Artal, Robbie Pennington, Sachin Kulkarni, Sagar Miglani, Santosh Gondi, Saransh Solanki, Sean Diener, Shangyi Cheng, Simon Green, Steve Saarinen, Suvam Patra, Tassos Mourikis, Thomas Whelan, Tripti Singh, Vasileios Balntas, Vijay Baiyya, Wilson Dreewes, Xiaqing Pan, Yang Lou, Yipu Zhao, Yusuf Mansour, Yuyang Zou, Zhaoyang Lv, Zijian Wang, Mingfei Yan, Carl Ren, Renzo De Nardi, Richard Newcombe
Egocentric, multi-modal data as available on future augmented reality (AR) devices provides unique challenges and opportunities for machine perception.
no code implementations • CVPR 2022 • Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey
We address the problem of map sparsification for long-term visual localization.
2 code implementations • 23 Aug 2020 • Yipu Zhao, Justin S. Smith, Patricio A. Vela
The cost-efficiency of visual(-inertial) SLAM (VSLAM) is a critical characteristic of resource-limited applications.
1 code implementation • 3 Mar 2020 • Yipu Zhao, Justin S. Smith, Sambhu H. Karumanchi, Patricio A. Vela
Visual-inertial SLAM is essential for robot navigation in GPS-denied environments, e. g. indoor, underground.
Robotics
2 code implementations • 3 Jan 2020 • Yipu Zhao, Patricio A. Vela
Analysis of state-of-the-art VO/VSLAM system exposes a gap in balancing performance (accuracy & robustness) and efficiency (latency).
no code implementations • 19 Aug 2019 • Alexander H. Chang, Shiyu Feng, Yipu Zhao, Justin S. Smith, Patricio A. Vela
As a first pass in this direction, we equip a wireless, monocular color camera to the head of a robotic snake.
no code implementations • 19 May 2019 • Yipu Zhao, Patricio A. Vela
This paper aims to select features that contribute most to the pose estimation in VO/VSLAM.
Robotics
no code implementations • 19 May 2019 • Yipu Zhao, Wenkai Ye, Patricio A. Vela
This paper describes an enhancement to co-visibility local map building by incorporating a strong appearance prior, which leads to a more compact local map and latency reduction in downstream data association.
1 code implementation • 19 May 2019 • Wenkai Ye, Yipu Zhao, Patricio A. Vela
The ad-hoc creation of these benchmarks does not necessarily illuminate the particular weak points of a SLAM algorithm when performance is evaluated.
no code implementations • ECCV 2018 • Yipu Zhao, Patricio A. Vela
This paper tackles a problem in line-assisted VO/VSLAM: accurately solving the least squares pose optimization with unreliable 3D line input.