Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy (2022)
- Authors:
- USP affiliated authors: ROMERO, ROSELI APARECIDA FRANCELIN - ICMC ; NARDARI, GUILHERME VICENTIM - ICMC
- Unidade: ICMC
- DOI: 10.1109/LRA.2022.3154047
- Subjects: ROBÓTICA; VISÃO COMPUTACIONAL; AERONAVES NÃO TRIPULADAS
- Keywords: Aerial Systems: Perception and Autonomy; Field Robotics; Robotics and Automation in Agriculture and Forestry; SLAM
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway
- Date published: 2022
- Source:
- Título: IEEE Robotics and Automation Letters
- ISSN: 2377-3766
- Volume/Número/Paginação/Ano: v. 7, n. 2, p. 5512-5519, Apr. 2022
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
- Licença: publisher-specific-oa
-
ABNT
LIU, Xu et al. Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy. IEEE Robotics and Automation Letters, v. 7, n. 2, p. 5512-5519, 2022Tradução . . Disponível em: https://doi.org/10.1109/LRA.2022.3154047. Acesso em: 27 dez. 2025. -
APA
Liu, X., Nardari, G. V., Ojeda, F. C., Tao, Y., Zhou, A., Donnelly, T., et al. (2022). Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy. IEEE Robotics and Automation Letters, 7( 2), 5512-5519. doi:10.1109/LRA.2022.3154047 -
NLM
Liu X, Nardari GV, Ojeda FC, Tao Y, Zhou A, Donnelly T, Qu C, Chen SW, Romero RAF, Taylor CJ, Kumar V. Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 2): 5512-5519.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/LRA.2022.3154047 -
Vancouver
Liu X, Nardari GV, Ojeda FC, Tao Y, Zhou A, Donnelly T, Qu C, Chen SW, Romero RAF, Taylor CJ, Kumar V. Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 2): 5512-5519.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/LRA.2022.3154047 - Place recognition in forests with urquhart tessellations
- Drones mapeiam matas brasileiras. [Depoimento a Tiago Jokura]
- Semantic and depth learning for autonomous forest mapping
- SLOAM: semantic lidar odometry and mapping for forest inventory
- Localização e mapeamento semânticos em florestas
- A serious game to build a database for ErrP signal recognition
- A biologically inspired neural network for dynamic system optimization
- Involving objective and subjective aspects in multistage decision making and control under fuzziness: dynamic programming and neural networks
- Incorporating fuzzy logic to reinforcement learning
- Class of neural networks for dinamic programming
Informações sobre o DOI: 10.1109/LRA.2022.3154047 (Fonte: oaDOI API)
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