Abstract:
We provide a dataset collected by an autonomous ground vehicle testbed, based upon a modified Ford F-250 pickup truck. The vehicle is outfitted with a professional (Applanix POS LV) and consumer (Xsens MTI-G) Inertial Measuring Unit (IMU), a Velodyne 3D-lidar scanner, two push-broom forward looking Riegl lidars, and a Point Grey Ladybug3 omnidirectional camera system. Here we present the time-registered data from these sensors mounted on the vehicle, collected while driving the vehicle around the Ford Research campus and downtown Dearborn, Michigan during November-December 2009. The vehicle path trajectory in these datasets contain several large and small-scale loop closures, which should be useful for testing various state of the art computer vision and SLAM (Simultaneous Localization and Mapping) algorithms. The size of the dataset is huge (~100 GB) so make sure that you have sufficient bandwidth before downloading the dataset. Once downloaded you can unzip the dataset.tgz file to get the following files and folders under the main directory: Folders: SCANS, IMAGES, LCM, VELODYNE. Files: Timestamp.log, Pose-Applanix.log, Pose-Mtig.log, Gps.log, PARAM.mat Unzip the Code.tgz file. It should have two folders "C" and "MATLAB" containing the utility functions. The details about these files and folders can be found in the README file and in our IJRR data paper. Please cite the IJRR data paper when using this data set in your work. Gaurav Pandey, James R. McBride and Ryan M. Eustice, Ford campus vision and lidar data set. International Journal of Robotics Research, 30(13):1543-1552, 2011. Calibrated laser reflectivity values: This file contains the [64x256] matrix of calibrated laser reflectivity values. Each element c(j,a) of this matrix is the calibrated output when beam j observes reflectivity a. This calibrated reflectivity map of each laser of the velodyne laser scanner has been estimated by using the method given in the paper titled Unsupervised Calibration for Multi-beam Lasers by Levinson et al. The uncalibrated/observed reflectivity values are available in the LCM log files and in the pcap files of the dataset. Subset of Dataset 1 (6 GB): This contains a subset of the dataset 1. This has 200 scans starting from scan index 1000 to 1200 and the corresponding camera images. Dataset 1 (78 GB): This corresponds to a loop in the downtown Dearborn Michigan. Dataset 2 (119 GB): This corresponds to a loop inside the Ford campus in Dearborn Michigan. Files: Code.zip dataset-1-subset.tgz dataset-1.tar.gz dataset-2.tar.gz ijrr2011.pdf
Year: 2011

URL: http://robots.engin.umich.edu/SoftwareData/Ford
License: No license specified, the work may be protected by copyright.

@article{,
title= {Ford Campus Vision and Laser dataset},
journal= {},
author= {Gaurav Pandey and James R. McBride and Ryan M. Eustice},
year= {2011},
url= {http://robots.engin.umich.edu/SoftwareData/Ford},
abstract= {We provide a dataset collected by an autonomous ground vehicle testbed, based upon a modified Ford F-250 pickup truck. The vehicle is outfitted with a professional (Applanix POS LV) and consumer (Xsens MTI-G) Inertial Measuring Unit (IMU), a Velodyne 3D-lidar scanner, two push-broom forward looking Riegl lidars, and a Point Grey Ladybug3 omnidirectional camera system. Here we present the time-registered data from these sensors mounted on the vehicle, collected while driving the vehicle around the Ford Research campus and downtown Dearborn, Michigan during November-December 2009. The vehicle path trajectory in these datasets contain several large and small-scale loop closures, which should be useful for testing various state of the art computer vision and SLAM (Simultaneous Localization and Mapping) algorithms. The size of the dataset is huge (~100 GB) so make sure that you have sufficient bandwidth before downloading the dataset.

Once downloaded you can unzip the dataset.tgz file to get the following files and folders under the main directory:
Folders: SCANS, IMAGES, LCM, VELODYNE.
Files: Timestamp.log, Pose-Applanix.log, Pose-Mtig.log, Gps.log, PARAM.mat

Unzip the Code.tgz file. It should have two folders "C" and "MATLAB" containing the utility functions. The details about these files and folders can be found in the README file and in our IJRR data paper. Please cite the IJRR data paper when using this data set in your work.

Gaurav Pandey, James R. McBride and Ryan M. Eustice, Ford campus vision and lidar data set. International Journal of Robotics Research, 30(13):1543-1552, 2011.

Calibrated laser reflectivity values: This file contains the [64x256] matrix of calibrated laser reflectivity values. Each element c(j,a) of this matrix is the calibrated output when beam j observes reflectivity a. This calibrated reflectivity map of each laser of the velodyne laser scanner has been estimated by using the method given in the paper titled Unsupervised Calibration for Multi-beam Lasers by Levinson et al. The uncalibrated/observed reflectivity values are available in the LCM log files and in the pcap files of the dataset.
Subset of Dataset 1 (6 GB): This contains a subset of the dataset 1. This has 200 scans starting from scan index 1000 to 1200 and the corresponding camera images.


Dataset 1 (78 GB): This corresponds to a loop in the downtown Dearborn Michigan.
Dataset 2 (119 GB): This corresponds to a loop inside the Ford campus in Dearborn Michigan.

Files:
Code.zip
dataset-1-subset.tgz
dataset-1.tar.gz
dataset-2.tar.gz
ijrr2011.pdf

},
keywords= {},
terms= {}
}