ICRA21 Workshop on Visual-Inertial Navigation Systems
Part I: Virtual Online Meeting [9am-7pm EDT/GMT-4 (Time in New York), May 31, 2021]:
Part II: Phyiscal Onsite Luncheon at Xi'an, China, 11am-2pm (Beijing Time), June 2, 2021.
Updates
(5/29) The workshop will be Live Streaming on YouTube.
(5/23) Note: 6/2 Phyiscal Onsite Luncheon location changed: 西安锦江国际酒店国际会议中心(5层)
(5/10) The workshop program tentatively scheduled.
(5/9) We are excited to hold a complimentary Phyiscal Onsite Luncheon on June 2, 2021, sponsored by Meituan UAV.
(5/1) Six papers were accepted to the workshop.
(3/23) The submission deadline is extended to April 20, 2021.
(2/20) We are pleased to announce that Meituan UAV will sponsor the physical workshop.
(2/15) ICRA 2021 VINS Workshop site is up online!
Online Program: 9am-7pm EDT (GMT-4, New York Time), May 31, 2021
9:00-9:15AM: Paul Huang (UD) – Welcome and Introduction
9:15-10:15AM: Patrick Geneva (UD) – Visual-Inertial Navigation Systems: An Introduction (slides)
10:15-11:00AM: Ping Tan (Alibaba) – Visual localization and dense mapping
11:00-11:45AM: Stefan Leutenegger (TUM) – Visual-inertial SLAM and Spatial AI for mobile robots
11:45-12:30PM: Giuseppe Loianno (NYU) – Resilient Visual Inertial Estimation for Agile Aerial Robots
12:30-1:15PM: Kejian Wu (NReal) – VINS and its Applications in Mixed Reality
1:15-2:00PM: Maurice Fallon (Oxford) – Multi-Sensor Tracking to enable exploration of visually degraded underground environments
2:00-2:45PM: Luca Carlone (MIT) – From Visual Navigation to Real-time Scene Understanding: Open Problems and Opportunities
2:45-3:30PM: Jonathan Kelly (UToronto) – A Question of Time: Revisiting Temporal Calibration for Visual-Inertial Navigation
3:30-4:15PM: Abraham Bachrach (Skydio) – Robust VIO in the Real World
4:15-5:00PM: Chao Guo (Google) – VINS on Unknown Devices
5:00-6:10PM: Paper presenations (10 minutes each paper)
6:10-6:30PM: Paul Huang (UD) – Concluding Remarks
Papers
iCalib: Inertial Aided Multi-Sensor Calibration, Yulin Yang, Woosik Lee, Philip Osteen, Patrick Geneva, Xingxing Zuo and Guoquan Huang
RISE: Real-Time Iteration Scheme for Estimation applied to Visual-Inertial Odometry, Philipp Foehn and Davide Scaramuzza
Redesigning SLAM for Arbitrary Multi-Camera Systems, Juichung Kuo, Manasi Muglikar, Zichao Zhang, and Davide Scaramuzza
Periodic SLAM: Using Cyclic Constraints to Improve the Performance of Visual-Inertial SLAM on Legged Robots, Hans Kumar, J. Joe Payne, Matthew Travers, Aaron M. Johnson, and Howie Choset
DSEC: A Stereo Event Camera Dataset for Driving Scenarios, Mathias Gehrig, Willem Aarents, Daniel Gehrig and Davide Scaramuzza
Tightly-coupled Fusion of Global Positional Measurements in Optimization-based Visual-Inertial Odometry, Giovanni Cioffi and Davide Scaramuzza
An Equivariant Filter for Visual Inertial Odometry, Pieter van Goor1 and Robert Mahony
Overview
As cameras and IMUs are becoming ubiquitous, visual-inertial navigation systems (VINS) that provide high-precision 3D motion estimation, hold great potentials in a wide range of applications from augmented reality (AR) and unmanned aerial vehicles (UAVs) to autonomous driving, in part because of the complementary sensing capabilities and the decreasing costs and size of these sensors. While visual-inertial navigation, alongside with SLAM, has witnessed tremendous progress in the past decade, yet certain critical aspects in the design of visual-inertial systems remain poorly explored, greatly hindering the widespread deployment of these systems in practice. For example, many VINS algorithms are yet not robust to high dynamics and poor lighting conditions; they are yet not accurate enough for long-term, large-scale operations, in particular, in life-critical scenarios; and yet they are unable to provide semantic and cognitive understandings to support high-level decision making. This workshop brings together researchers in robotics, computer vision and AI, from both academia and industry, to share their insights and thoughts on the R&D of VINS. The goal of this workshop is to bring forward the latest breakthroughs and cutting-edge research on visual-inertial navigation and beyond, to open discussions about technical challenges and future research directions for the community, and to identify new applications of this emerging technology.
Call for Contributions
We welcome submissions of papers describing VINS-related work in progress, preliminary results, novel concepts, and industry experiences.
All submitted papers will be reviewed by at least two experts (see Program Committee below) on the basis of technical quality, relevance, significance, and clarity.
Topics of interest to this workshop include, but are not necessarily limited to:
Visual-inertial odometry
Visual SLAM
Aided inertial navigation (e.g., GNSS-INS)
Sensor calibration
Visual-inertial estimation and perception for aerial vehicles
Deep learning for visual SLAM
Cooperative visual-inertial localization
Multi-sensor fusion
Co-design of hardware and software of VINS
Simulations and benchmarking of visual-inertial navigation
Visual perception in challenging environments
Human motion modeling
Visual navigation
Drones or UAVs
AR/VR
We accept the following forms of contributions:
Research papers (up to 6 pages, not including references)
Field reports (2-4 pages, not including references)
All accepted papers will appear on the workshop website.
Note that the authors retain all the intellectual properties of their contributions to the workshop.
We will also be exploring the possibility of a journal special issue for the best contributions at the workshop.
Important Dates
April 20, 2021: Deadline of paper submission
May 1, 2021: Notification of acceptance
May 10, 2021: Submission of final version
May 31, 2021: Workshop at ICRA 2021
Organizers
Invited Speakers
Program Committee
Gang Chen, Meituan UAV
Kevin Eckenhoff, Facebook
Fei Gao, Zhejiang University
Yue Wang, Zhejiang University
Shoudong Huang, University of Technology Sydney
Yulong Huang, Harbin Engineering University
Yasir Latif, University of Adelaide
Mingyang Li, Alibaba
Yong Liu, Zhejiang University
Ziyang Meng, Tsinghua University
Yulin Yang, University of Delaware
Bo Zang, Meituan UAV
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