The CAVES project at CMU under Dr. Uland Wong and Dr. Red Whittaker developed robotic capabilities for exploration and 3D mapping of pits and skylights – giant holes on the surfaces of planets which may lead to the scientific holy grail of intact lava tubes. This research was spurred by the discovery of numerous pits across the solar system and a rising interest in sinkholes on earth. Over a two year period, starting in September 2012, many terrestrial analog sites were surveyed with high resolution LIDAR scanning in support of robot testing, algorithmic development and ground truthing. These analog sites either represent the size and shape of skylights/pits on planetary bodies or are geologically significant in their own right. As a part of end-of-project dissemination, this dataset is being released to the public to facilitate robotics and exploration research in this domain.
Data presented here are point cloud models which were created using a high-end LIDAR survey scanner, typically from the FARO line (x130, x330). The scanner is stationary and mounted on a tripod. Many view points and scan locations are stitched to create a unified model of the site. Manually selected features were typically utilized for rough matching followed by ICP for fine registration. A robotic total station, which tracks the scan location, was sometimes utilized to facilitate this process. The models are colorized utilizing the onboard camera of the scanner under natural illumination. As sequential scanning often took hours, the illumination may have changed significantly between parts of the unified model. We have taken steps to normalize brightness across the scans utilizing naive voxel-based histogramming. Other color correction schemes are left to end user implementation. Several sites were also imaged with a DSLR camera for photographic data quality beyond the sensor's onboard camera.
Feb 03, 2015 – Release of Indian Tunnel data
Dec 28, 2014 – Addition of Fieg Highwall volume model
Dec 18, 2014 – Addition of Sheepridge volume model
Dec 15, 2014 – Initial release of dataset
This data is offered as a courtesy to researchers. No guarantees are made regarding the content, quality or accuracy of any file downloaded from this website, so use at your own risk! For technical questions, please email the current maintainer(s) Chuck Whittaker <warrenw at andrew.cmu.edu> and Chris Cunningham <ccunningham at cmu.edu>.
The dataset is partitioned into several downloads, one for each analog site. Data for each site contains *.f32 point cloud files. Refer to the accompanying matlab code for examples of how to read the .f32 data files. Data is stored as sequential, 7-attribute readings, in binary little-endian float32 format. There are no delimiting characters or values.
The format of the .f32
The first three attributes are the Cartesian coordinates of an individual point in the cloud. Units of the point clouds are in meters. Colors are stored in attribute #5-7, and range from [0,255]. They are either RGB or grayscale (R=G=B). If infrared reflectance data was recorded, it is stored in attribute #4, otherwise zeros are recorded.
To aid in understanding of this data, we have also included a screen shot of the point cloud and a color photograph of each site. These files are distributed as .rar archives.
We have included several Matlab files to aid in use and understanding of this dataset. Two utility files for reading and writing *.f32 files are write_pts_binary_float32.m and read_pts_binary_float32.m. The format is otherwise very simple and intended for painless I/O in any language. We encourage conversion of point data to more efficient proprietary formats once downloaded and extracted. Some simple functions for downsampling point clouds and operating on voxels have also been included to get started.
Download Matlab code [7 KB]
The CAVES dataset can only be used for research or academic purposes. Any commercial use of the data whatsoever or incorporation of the data into a larger database intended for public distribution must be done with the explicit written consent of the dataset authors. Technical Report document coming soon! Until then, please use the following attribution if you use the data:
Uland Wong, Warren Whittaker, Heather Jones, Red Whittaker. CMU Planetary Pits and Caves 3D Dataset. http://www.frc.ri.cmu.edu/projects/NIAC_Caves, December 2014.
This work was supported through NASA Innovative Advanced Concepts (NIAC) grant NNX12AQ55G under subcontract from Astrobotic Technology, Inc. We are immensely grateful to Faro Technologies, Inc. for loan of an X330 scanner used in data collection.
We acknowledge the work of our principal staff surveyor Warren “Chuck” Whittaker in generating these models and graduate students like Heather Jones, Ander Solorzano, Chris Cunningham and Wennie Tabib. We thank PBS Coals Inc., Fieg Bros Co., and NASA Ames Finesse SSERVI team for access and use of test sites.