Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Heikki Hyyti"'
Autor:
Tamás Faitli, Eric Hyyppä, Heikki Hyyti, Teemu Hakala, Harri Kaartinen, Antero Kukko, Jesse Muhojoki, Juha Hyyppä
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3292 (2024)
Automating forest machines to optimize the forest value chain requires the ability to map the surroundings of the machine and to conduct accurate measurements of nearby trees. In the near-to-medium term, integrating a forest harvester with a mobile l
Externí odkaz:
https://doaj.org/article/824c3a6a31154227a6e2951d6b507f16
Autor:
Eric Hyyppä, Petri Manninen, Jyri Maanpää, Josef Taher, Paula Litkey, Heikki Hyyti, Antero Kukko, Harri Kaartinen, Eero Ahokas, Xiaowei Yu, Jesse Muhojoki, Matti Lehtomäki, Juho-Pekka Virtanen, Juha Hyyppä
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1790 (2023)
The continuous flow of autonomous vehicle-based data could revolutionize current map updating procedures and allow completely new types of mapping applications. Therefore, in this article, we demonstrate the feasibility of using perception data of au
Externí odkaz:
https://doaj.org/article/326c8e23b68d47a59031f03fbddd78c7
Autor:
Josef Taher, Teemu Hakala, Anttoni Jaakkola, Heikki Hyyti, Antero Kukko, Petri Manninen, Jyri Maanpää, Juha Hyyppä
Publikováno v:
Sensors, Vol 22, Iss 15, p 5759 (2022)
Autonomous vehicle perception systems typically rely on single-wavelength lidar sensors to obtain three-dimensional information about the road environment. In contrast to cameras, lidars are unaffected by challenging illumination conditions, such as
Externí odkaz:
https://doaj.org/article/754d029a3fd040ed8367abcd9580141b
Autor:
Mariana Batista Campos, Paula Litkey, Yunsheng Wang, Yuwei Chen, Heikki Hyyti, Juha Hyyppä, Eetu Puttonen
Publikováno v:
Frontiers in Plant Science, Vol 11 (2021)
The terrestrial laser scanner (TLS) has become standard technology for vegetation dynamics monitoring. TLS time series have significant underlying application in investigating structural development and dynamics on a daily and seasonal scale. However
Externí odkaz:
https://doaj.org/article/dc624783e5f7402da8df063ff78e92fd
Autor:
Juha Hyyppä, Xiaowei Yu, Teemu Hakala, Harri Kaartinen, Antero Kukko, Heikki Hyyti, Jesse Muhojoki, Eric Hyyppä
Publikováno v:
Forests, Vol 12, Iss 7, p 856 (2021)
The automation of forest field reference data collection has been an intensive research objective for laser scanning scientists ever since the invention of terrestrial laser scanning more than two decades ago. In this study, we demonstrated that an u
Externí odkaz:
https://doaj.org/article/52716b47201246858989b7672d4decb3
Autor:
Eetu Puttonen, Mariana Batista Campos, Juha Hyyppä, Yunsheng Wang, Paula Litkey, Heikki Hyyti, Yuwei Chen
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2020, Pp 27-31 (2020)
This work presents a data acquisition framework and the technical details of a permanent terrestrial laser scanning (TLS) measurement station for high spatial and temporal resolution forest observation that was developed in the Finnish Geospatial Res
Publikováno v:
IFAC-PapersOnLine. 53:14539-14545
A sensor instrumentation and an automated process are proposed for sea-ice field analysis using ship mounted machine vision cameras with the help of inertial and satellite positioning sensors. The proposed process enables automated acquisition of sea
Publikováno v:
IFAC-PapersOnLine. 53:15777-15783
We propose a novel method to locate spruces in a young stand with a low cost unmanned aerial vehicle. The method has three stages: 1) the forest area is mapped and a digital surface model and terrain models are generated, 2) the locations of trees ar
High-Definition (HD) maps are needed for robust navigation of autonomous vehicles, limited by the on-board storage capacity. To solve this, we propose a novel framework, Environment-Aware Normal Distributions Transform (EA-NDT), that significantly im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::463155c58a7d8fc3929b9ed96f99e4df
http://hdl.handle.net/10138/356452
http://hdl.handle.net/10138/356452
Autor:
Matti Lehtomäki, Ville V. Lehtola, Antero Kukko, Heikki Hyyti, Juha Hyyppä, Risto Kaijaluoto, Harri Kaartinen
Publikováno v:
IEEE transactions on geoscience and remote sensing, 57(9):8700597, 6900-6915. IEEE
We explore a novel paradigm for light detection and ranging (LIDAR) point classification in mobile laser scanning (MLS). In contrast to the traditional scheme of performing classification for a 3-D point cloud after registration, our algorithm operat