Autonomous Driving in Unstructured Environments: How Far Have We Come?
Research on autonomous driving in unstructured outdoor environments is less advanced
than in structured urban settings due to challenges like environmental diversities and scene …
than in structured urban settings due to challenges like environmental diversities and scene …
ROVER: A Multi-Season Dataset for Visual SLAM
F Schmidt, C Blessing, M Enzweiler… - arXiv preprint arXiv …, 2024 - arxiv.org
Robust Simultaneous Localization and Mapping (SLAM) is a crucial enabler for autonomous
navigation in natural, unstructured environments such as parks and gardens. However …
navigation in natural, unstructured environments such as parks and gardens. However …
Towards Long-term Robotics in the Wild
In this paper, we emphasise the critical importance of large-scale datasets for advancing
field robotics capabilities, particularly in natural environments. While numerous datasets …
field robotics capabilities, particularly in natural environments. While numerous datasets …
Spread: A Large-Scale, High-Fidelity Synthetic Dataset for Multiple Forest Vision Tasks
Z Feng, Y She, S Keshav - High-Fidelity Synthetic Dataset for Multiple … - papers.ssrn.com
Abstract We present the Synthetic Photo-realistic Arboreal Dataset (SPREAD), a state-of-the-
art synthetic dataset specifically designed for forest-related machine learning tasks …
art synthetic dataset specifically designed for forest-related machine learning tasks …