[N][R] ICRA 2020 extended talk for Unsupervised Depth Completion from Visual Inertial Odometry

• void-dataset

  3 103 0.0 Shell

  Visual Odometry with Inertial and Depth (VOID) dataset

Code for https://arxiv.org/abs/1905.08616 found: https://github.com/alexklwong/void-dataset

• unsupervised-depth-completion-visual-inertial-odometry

  2 183 5.0 Python

  Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

In this talk, we present an unsupervised method (no need for human supervision/annotations) for learning to recover dense point clouds from images, captured by cameras, and sparse point clouds, produced by lidar or tracked by visual inertial odometry (VIO) systems. To illustrate what I mean, you can visit our github page for examples (gifs) of point clouds produced by our method.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• xivo

  2 828 0.0 C++

  X Inertial-aided Visual Odometry

  

Our method is light-weight (so you can run it on your computer!) and is built on top of XIVO our VIO system.

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