Work Description

Title: Michigan Indoor Corridor Dataset Open Access Deposited

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Attribute Value
Methodology
  • The dataset contains 4 video sequences acquired with camera mounted on a wheeled vehicle. The camera was set-up so that there was zero tilt and roll angle with respect to the ground. The camera has a fixed height (0.47 m) with the ground throughout the video. The camera used was: AVT Manta G-145 Color CCD Camera 5mm FL Wide Angle Low Distortion Lens
Description
  • ******Michigan Indoor Corridor 2012 Dataset****** This dataset is made available for research purpose only. Please contact Grace Tsai( gstsai@umich.edu) for any questions or comments. This dataset was used to produce the results in our IROS 2012 paper. If you use the data, please cite the following reference in your publications related to this work: Grace Tsai and Benjamin Kuipers Dynamic Visual Understanding of the Local Environment for an Indoor Navigating Robot International Conference on Intelligent Robots and Systems (IROS'12) October 2012 The dataset contains 4 video sequences acquired with camera mounted on a wheeled vehicle. The camera was set-up so that there was zero tilt and roll angle with respect to the ground. The camera has a fixed height (0.47 m) with the ground throughout the video. The intrinsic parameters of the cameras are: Focal length fc = [ 1389.182714 1394.598277 ] Principal point cc = [ 672.605430 387.235803 ] The distortion of the camera has been corrected. For each video sequences, an estimated camera pose in each frame of the video is provided in the file pose.txt. Each line in the file looks like: <frame index> <x (pose)> <y (pose)> <theta (pose)> Note the camera poses provided here are estimated by using an occupancy grid mapping algorithm with a laser range finder to obtain the robot pose. The dataset provides a ground truth labeling for all the pixels every 10 frames for each video. The labels of each frame is stored as a 2D matrix in a .mat file. The filename of each .mat file corresponds to the image frame. The labels can be interpreted as followed: -2 -> ceiling plane -1 -> ground plane >0 -> walls The labels of the walls are illustrated in a .pdf figure. Note the figure is only a illustration graph, not an actual floor plan.
Creator
Depositor
  • collinej@umich.edu
Contact information
Discipline
Keyword
Date coverage
  • 2012-07-22
Citations to related material
  • Grace Tsai and Benjamin Kuipers "Dynamic Visual Understanding of the Local Environment for an Indoor Navigating Robot" International Conference on Intelligent Robots and Systems (IROS'12) October 2012 https://doi.org/10.1109/IROS.2012.6385735
Resource type
Last modified
  • 03/26/2020
Published
  • 11/09/2016
Language
DOI
  • https://doi.org/10.7302/Z28050JB
License
To Cite this Work:
Tsai, G., Kuipers, B. (2016). Michigan Indoor Corridor Dataset [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/Z28050JB

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UmichIndoorCorridor2012.tar.gz 2016-11-09 2016-11-09 926 MB Open Access

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