Enhancing safety via deep reinforcement learning in trajectory planning for agile flights in unknown environments (2024)
- Authors:
- Autor USP: BIDINOTTO, JORGE HENRIQUE - EESC
- Unidade: EESC
- DOI: 10.1109/IROS58592.2024.10801910
- Subjects: TRAJETÓRIA; APRENDIZAGEM PROFUNDA; VOO (ENGENHARIA AERONÁUTICA); REDES NEURAIS; ENGENHARIA AERONÁUTICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway, NJ, USA
- Date published: 2024
- Source:
- Título: Proceedings
- Conference titles: IEEE/RSJ International Conference on Intelligent Robots and Systems - IROS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ROCHA, Lidia et al. Enhancing safety via deep reinforcement learning in trajectory planning for agile flights in unknown environments. 2024, Anais.. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2024. Disponível em: https://dx.doi.org/10.1109/IROS58592.2024.10801910. Acesso em: 26 dez. 2025. -
APA
Rocha, L., Bidinotto, J. H., Heintz, F., Tiger, M., & Vivaldini, K. C. T. (2024). Enhancing safety via deep reinforcement learning in trajectory planning for agile flights in unknown environments. In Proceedings. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/IROS58592.2024.10801910 -
NLM
Rocha L, Bidinotto JH, Heintz F, Tiger M, Vivaldini KCT. Enhancing safety via deep reinforcement learning in trajectory planning for agile flights in unknown environments [Internet]. Proceedings. 2024 ;[citado 2025 dez. 26 ] Available from: https://dx.doi.org/10.1109/IROS58592.2024.10801910 -
Vancouver
Rocha L, Bidinotto JH, Heintz F, Tiger M, Vivaldini KCT. Enhancing safety via deep reinforcement learning in trajectory planning for agile flights in unknown environments [Internet]. Proceedings. 2024 ;[citado 2025 dez. 26 ] Available from: https://dx.doi.org/10.1109/IROS58592.2024.10801910 - Detecção de "flutter" por imageamento infravermelho
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Informações sobre o DOI: 10.1109/IROS58592.2024.10801910 (Fonte: oaDOI API)
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