Survey on Datasets for Perception in Unstructured Outdoor Environments

التفاصيل البيبلوغرافية
العنوان: Survey on Datasets for Perception in Unstructured Outdoor Environments
المؤلفون: Mortimer, Peter, Maehlisch, Mirko
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics
الوصف: 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.
Comment: Accepted to the IEEE ICRA Workshop on Field Robotics 2024
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2404.18750
رقم الأكسشن: edsarx.2404.18750
قاعدة البيانات: arXiv