Advanced Driver Assistance System based on NeuroFSM applied in the detection of autonomous human faults and support to semi-autonomous control for robotic vehicles (2019)
- Authors:
- USP affiliated authors: OSÓRIO, FERNANDO SANTOS - ICMC ; WOLF, DENIS FERNANDO - ICMC ; BRUNO, DIEGO RENAN - ICMC ; GOMES, IAGO PACHECO - ICMC
- Unidade: ICMC
- DOI: 10.1109/LARS-SBR-WRE48964.2019.00024
- Subjects: ACIDENTES DE TRÂNSITO; SINALIZAÇÃO DE TRÁFEGO; ROBÓTICA; IMAGEM 3D
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2019
- 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
BRUNO, Diego Renan et al. Advanced Driver Assistance System based on NeuroFSM applied in the detection of autonomous human faults and support to semi-autonomous control for robotic vehicles. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/LARS-SBR-WRE48964.2019.00024. Acesso em: 28 dez. 2025. -
APA
Bruno, D. R., Gomes, I. P., Osório, F. S., & Wolf, D. F. (2019). Advanced Driver Assistance System based on NeuroFSM applied in the detection of autonomous human faults and support to semi-autonomous control for robotic vehicles. In Proceedings. Los Alamitos: IEEE. doi:10.1109/LARS-SBR-WRE48964.2019.00024 -
NLM
Bruno DR, Gomes IP, Osório FS, Wolf DF. Advanced Driver Assistance System based on NeuroFSM applied in the detection of autonomous human faults and support to semi-autonomous control for robotic vehicles [Internet]. Proceedings. 2019 ;[citado 2025 dez. 28 ] Available from: https://doi.org/10.1109/LARS-SBR-WRE48964.2019.00024 -
Vancouver
Bruno DR, Gomes IP, Osório FS, Wolf DF. Advanced Driver Assistance System based on NeuroFSM applied in the detection of autonomous human faults and support to semi-autonomous control for robotic vehicles [Internet]. Proceedings. 2019 ;[citado 2025 dez. 28 ] Available from: https://doi.org/10.1109/LARS-SBR-WRE48964.2019.00024 - Visual attention system based on Fuzzy Classifier to define priority of traffic signs for intelligent robotic vehicle navigation purposes
- Development of a mobile robot: robotic guide dog for aid of visual disabilities in urban environments
- Evaluation of lane-merging approaches for connected vehicles
- Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making
- A literature review on the detection and tracking of obstacles applied for advanced driver assistance systems (ADAS) in robotic vehicle
- End-to-End deep learning applied in autonomous navigation using multi-cameras system with RGB and depth images
- Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads
- Simulador robótico: CoppeliaSim & V-REP
- Real-time pedestrian detection and tracking system using deep learning and Kalman filter: applications on embedded systems in advanced driver assistance systems
- A health monitoring system with hybrid bayesian network for autonomous vehicle
Informações sobre o DOI: 10.1109/LARS-SBR-WRE48964.2019.00024 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
