Zobrazeno 1 - 10
of 10 698
pro vyhledávání: '"terrain mapping"'
Autor:
Xie, Jiaxing1,2 (AUTHOR) xjx1998@scau.edu.cn, Yu, Zhenbang1 (AUTHOR) richard.zb.yu@outlook.com, Liang, Gaotian3 (AUTHOR) lianggt6@mail2.sysu.edu.cn, Fu, Xianbing1 (AUTHOR) 879250542@stu.scau.edu.cn, Gao, Peng1,2 (AUTHOR) gaopeng.peng@scau.edu.cn, Yin, Huili1,2 (AUTHOR) huiliyin@scau.edu.cn, Sun, Daozong1,2 (AUTHOR) sundaozong@scau.edu.cn, Wang, Weixing4 (AUTHOR) weixing@scau.edu.cn, Xue, Yueju1,2,5 (AUTHOR) jyshen@scau.edu.cn, Shen, Jiyuan5,6 (AUTHOR), Li, Jun7 (AUTHOR) autojunli@scau.edu.cn
Publikováno v:
Remote Sensing. Nov2024, Vol. 16 Issue 22, p4248. 25p.
Autor:
Zhou, Hang1 (AUTHOR) 2118320016@stmail.ntu.edu.cn, Ping, Peng1,2 (AUTHOR) hilong521@163.com, Shi, Quan1 (AUTHOR) pingpeng@ntu.edu.cn, Chen, Hailong1 (AUTHOR)
Publikováno v:
Sensors (14248220). Dec2023, Vol. 23 Issue 23, p9523. 15p.
Autor:
Tomita, Kento, Ho, Koki
Onboard terrain sensing and mapping for safe planetary landings often suffer from missed hazardous features, e.g., small rocks, due to the large observational range and the limited resolution of the obtained terrain data. To this end, this paper deve
Externí odkaz:
http://arxiv.org/abs/2409.09309
This paper explores the question of creating and maintaining terrain maps in environments where the terrain changes. The specific example explored is the construction of terrain maps from 3D LiDAR measurements on an electric rope shovel. The approach
Externí odkaz:
http://arxiv.org/abs/2405.16774
This work introduces Neural Elevations Models (NEMos), which adapt Neural Radiance Fields to a 2.5D continuous and differentiable terrain model. In contrast to traditional terrain representations such as digital elevation models, NEMos can be readily
Externí odkaz:
http://arxiv.org/abs/2405.15227
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
We study the problem of bipedal robot navigation in complex environments with uncertain and rough terrain. In particular, we consider a scenario in which the robot is expected to reach a desired goal location by traversing an environment with uncerta
Externí odkaz:
http://arxiv.org/abs/2403.16356
Autor:
Park, Jae-Min1 (AUTHOR) jaemin@kict.re.kr, Hong, Sungchul2 (AUTHOR) schong@inha.ac.kr, Shin, Hyu-Soung1 (AUTHOR) hyushin@kict.re.kr
Publikováno v:
Remote Sensing. Jul2023, Vol. 15 Issue 13, p3412. 13p.
Accurate, high-resolution 3D mapping of environmental terrain is critical in a range of disciplines. In this study, we develop a new technique, called the PCFilt-94 algorithm, to extract 3D point clouds from coarse resolution millimetre-wave radar da
Externí odkaz:
http://arxiv.org/abs/2310.08120