Researchers at CAVS have collected and labeled several datasets targeted towards off-road autonomous driving. These datasets consist of autonomous vehicle sensor data taken primarily in unstructured or off-road environments from sensors such as camera and GPS. These datasets are open source; we ask that researchers and developers appropriately reference the source when publishing or presenting work which makes use of this resource.
This dataset is comprised of two sets of segmentation data specially targeted for the unstructured, off-road driving environment.
The off-road driving domain has many uncertainties such as uneven terrain
structure, positive and negative obstacles, ditches, hidden objects, and many
more. This dataset contains a set of segmented images, which are annotated by
vehicle drivers according to their perception of the vehicle’s ability to drive
through the terrain. It contains 12,300 two-dimensional camera images collected
in three different locations around the CAVS proving ground. The images are
annotated considering the traversing capability of three different vehicles:
sedan, pickup, and off-road.
The published paper can be found at ieeexplore.ieee.org and the appropriate citation is: