Autonomous Trail Following using a Pre-trained Deep Neural Network.

[PDF] arxiv.org

Autonomous Driving in Unstructured Environments: How Far Have We Come?

C Min, S Si, X Wang, H Xue, W Jiang, Y Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Research on autonomous driving in unstructured outdoor environments is less advanced
than in structured urban settings due to challenges like environmental diversities and scene …
被引用次数：2 相关文章 所有 3 个版本
[PDF] arxiv.org

Survey on Datasets for Perception in Unstructured Outdoor Environments

P Mortimer, M Maehlisch - arXiv preprint arXiv:2404.18750, 2024 - arxiv.org
Perception is an essential component of pipelines in field robotics. In this survey, we
quantitatively compare publicly available datasets available in unstructured outdoor …
被引用次数：5 相关文章 所有 2 个版本
[PDF] arxiv.org

Excavating in the Wild: The GOOSE-Ex Dataset for Semantic Segmentation

R Hagmanns, P Mortimer, M Granero, T Luettel… - arXiv preprint arXiv …, 2024 - arxiv.org
The successful deployment of deep learning-based techniques for autonomous systems is
highly dependent on the data availability for the respective system in its deployment …
相关文章 所有 4 个版本

Improved Robust Neural Network for Sim2Real Gap in System Dynamics for End-to-End Autonomous Driving

S Pareigis, FL Maaß - International Conference on Informatics in Control …, 2022 - Springer
An improved convolutional neural network architecture for end-to-end autonomous driving is
presented, which is robust against discrepancies in system dynamics. The proposed neutral …
被引用次数：2 相关文章 所有 2 个版本