Obstacle avoidance using stereo-based generic obstacle tracking (2017)
- Authors:
- USP affiliated authors: GRASSI JUNIOR, VALDIR - EESC ; WOLF, DENIS FERNANDO - ICMC
- Unidades: EESC; ICMC
- DOI: 10.1109/SBR-LARS-R.2017.8215284
- Subjects: SENSOR; FILTROS DE KALMAN; SISTEMAS AUTÔNOMOS; VEÍCULOS; TRAJETÓRIA
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2017
- Source:
- Título: Proceedings
- Conference titles: Latin American Robotics Symposium - LARS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
RIDEL, Daniela et al. Obstacle avoidance using stereo-based generic obstacle tracking. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SBR-LARS-R.2017.8215284. Acesso em: 11 out. 2024. -
APA
Ridel, D., Shinzato, P., Pereira, A. R., Grassi Júnior, V., & Wolf, D. F. (2017). Obstacle avoidance using stereo-based generic obstacle tracking. In Proceedings. Piscataway: IEEE. doi:10.1109/SBR-LARS-R.2017.8215284 -
NLM
Ridel D, Shinzato P, Pereira AR, Grassi Júnior V, Wolf DF. Obstacle avoidance using stereo-based generic obstacle tracking [Internet]. Proceedings. 2017 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215284 -
Vancouver
Ridel D, Shinzato P, Pereira AR, Grassi Júnior V, Wolf DF. Obstacle avoidance using stereo-based generic obstacle tracking [Internet]. Proceedings. 2017 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215284 - Identificação do modelo longitudinal de um veículo de grande porte utilizando processos gaussianos
- Detecção de vagas e estacionamento autônomo de veículos
- Autonomous vehicle navigation in semi-structured urban environment
- Effective deep reinforcement learning setups for multiple goals on visual navigation
- Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information
- An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation
- Leveraging convergence behavior to balance conflicting tasks in multitask learning
- Longitudinal and lateral control for autonomous ground vehicles
- Fast visual road recognition and horizon detection using multiple artificial neural networks
- Maximum entropy inverse reinforcement learning using Monte Carlo tree search for autonomous driving
Informações sobre o DOI: 10.1109/SBR-LARS-R.2017.8215284 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas