Autonomous vehicle navigation in semi-structured urban environment (2013)
- Authors:
- USP affiliated authors: GRASSI JUNIOR, VALDIR - EESC ; WOLF, DENIS FERNANDO - ICMC
- Unidades: EESC; ICMC
- DOI: 10.3182/20130626-3-AU-2035.00051
- Subjects: VEÍCULOS AUTOMOTORES; ROBÔS
- Language: Inglês
- Imprenta:
- Publisher: IFAC
- Publisher place: Kidlington
- Date published: 2013
- Conference titles: IFAC Intelligent Autonomous Vehicles Symposium
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MAGALHÃES, André Chaves et al. Autonomous vehicle navigation in semi-structured urban environment. 2013, Anais.. Kidlington: IFAC, 2013. Disponível em: https://doi.org/10.3182/20130626-3-AU-2035.00051. Acesso em: 11 fev. 2026. -
APA
Magalhães, A. C., Prado, M. G., Grassi Júnior, V., & Wolf, D. F. (2013). Autonomous vehicle navigation in semi-structured urban environment. In . Kidlington: IFAC. doi:10.3182/20130626-3-AU-2035.00051 -
NLM
Magalhães AC, Prado MG, Grassi Júnior V, Wolf DF. Autonomous vehicle navigation in semi-structured urban environment [Internet]. 2013 ;[citado 2026 fev. 11 ] Available from: https://doi.org/10.3182/20130626-3-AU-2035.00051 -
Vancouver
Magalhães AC, Prado MG, Grassi Júnior V, Wolf DF. Autonomous vehicle navigation in semi-structured urban environment [Internet]. 2013 ;[citado 2026 fev. 11 ] Available from: https://doi.org/10.3182/20130626-3-AU-2035.00051 - Detecção de vagas e estacionamento autônomo de veículos
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- Identificação do modelo longitudinal de um veículo de grande porte utilizando processos gaussianos
- Fast visual road recognition and horizon detection using multiple artificial neural networks
- Longitudinal and lateral control for autonomous ground vehicles
- Continuous deep maximum entropy inverse reinforcement learning using online POMDP
- Lateral control based on clothoids curves for heavy category ground vehicles
- Leveraging convergence behavior to balance conflicting tasks in multitask learning
- Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information
- Maximum entropy inverse reinforcement learning using Monte Carlo tree search for autonomous driving
Informações sobre o DOI: 10.3182/20130626-3-AU-2035.00051 (Fonte: oaDOI API)
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