Survey on Datasets for Perception in Unstructured Outdoor Environments
Mortimer, Peter, Maehlisch, Mirko
–arXiv.org Artificial Intelligence
Perception is an essential component of pipelines in field robotics. In this survey, we quantitatively compare publicly available datasets available in unstructured outdoor environments. We focus on datasets for common perception tasks in field robotics. Our survey categorizes and compares available research datasets. This survey also reports on relevant dataset characteristics to help practitioners determine which dataset fits best for their own application. We believe more consideration should be taken in choosing compatible annotation policies across the datasets in unstructured outdoor environments.
arXiv.org Artificial Intelligence
Apr-29-2024
- Country:
- Oceania > Australia
- Queensland > Brisbane (0.04)
- North America > United States
- Texas (0.04)
- Europe
- Estonia (0.05)
- Switzerland (0.04)
- Portugal (0.04)
- Germany
- Baden-Württemberg > Freiburg (0.05)
- Bavaria > Upper Bavaria
- Munich (0.04)
- Asia
- Macao (0.04)
- South Korea > Seoul
- Seoul (0.04)
- Middle East > Republic of Türkiye
- Karaman Province > Karaman (0.04)
- China > Shaanxi Province
- Xi'an (0.04)
- Oceania > Australia
- Genre:
- Overview (1.00)
- Industry:
- Transportation > Ground > Road (0.94)
- Technology:
- Information Technology
- Sensing and Signal Processing (1.00)
- Artificial Intelligence
- Robots > Autonomous Vehicles (1.00)
- Machine Learning (1.00)
- Vision (0.97)
- Representation & Reasoning (0.94)
- Information Technology