Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Erke Shang"'
Publikováno v:
Sensors, Vol 23, Iss 11, p 5273 (2023)
Data augmentation has been widely used to improve generalization in training deep neural networks. Recent works show that using worst-case transformations or adversarial augmentation strategies can significantly improve accuracy and robustness. Howev
Externí odkaz:
https://doaj.org/article/38851932cd0440d788b09ce8661e0a6a
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
Positive obstacles will cause damage to field robotics during traveling in field. Field autonomous land vehicle is a typical field robotic. This article presents a feature matching and fusion-based algorithm to detect obstacles using LiDARs for field
Externí odkaz:
https://doaj.org/article/2c525740fa0c42b0882cbc8190daa12b
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
Unstructured road detection is a key step in an unmanned guided vehicle (UGV) system for road following. However, current vision-based unstructured road detection algorithms are usually affected by continuously changing backgrounds, different road ty
Externí odkaz:
https://doaj.org/article/6c4d6c8a01f64e4ca788a4d5e46060e4
Publikováno v:
2022 41st Chinese Control Conference (CCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e1fa200d4f6a72636200213fe4f2b17
https://doi.org/10.23919/ccc55666.2022.9902730
https://doi.org/10.23919/ccc55666.2022.9902730
Publikováno v:
2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba2da7c48aa6cbc7b53239431b2818ad
https://doi.org/10.1109/gcrait55928.2022.00025
https://doi.org/10.1109/gcrait55928.2022.00025
Data augmentation has been widely used to improve generalization in training deep neural networks. Recent works show that using worst-case transformations or adversarial augmentation strategies can significantly improve the accuracy and robustness. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9f885c44e1a4358fc4d0bb2418ef8ec
Akademický článek
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Publikováno v:
Journal of Field Robotics. 33:591-617
Negative obstacles for field autonomous land vehicles ALVs refer to ditches, pits, or terrain with a negative slope, which will bring risks to vehicles in travel. This paper presents a feature fusion based algorithm FFA for negative obstacle detectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a45c7e547eb0dc580bc8fb8d928d776
https://doi.org/10.1002/rob.21609
https://doi.org/10.1002/rob.21609
Publikováno v:
Journal of Intelligent & Robotic Systems. 79:21-36
Light Detection And Ranging (LiDAR) has been widely employed in Unmanned Ground Vehicle (UGV) for autonomous navigation and object detection. In this paper, an efficient extrinsic parameter calibration approach, which is based on a pair of orthogonal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35e5df50e7300da1d58300c30f9a8db6
https://doi.org/10.1007/s10846-014-0080-3
https://doi.org/10.1007/s10846-014-0080-3
Publikováno v:
International Journal of Advanced Robotic Systems; Mar/Apr2020, Vol. 17 Issue 2, p1-12, 12p