Verisimilar percept sequences tests for autonomous driving intelligent agent assessment (2018)
- Authors:
- Autor USP: WOLF, DENIS FERNANDO - ICMC
- Unidade: ICMC
- DOI: 10.1109/LARS/SBR/WRE.2018.00048
- Subjects: VEÍCULOS AUTÔNOMOS; ROBÓTICA; VISÃO COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2018
- Source:
- Título: Proceedings
- Conference titles: Latin American Robotic Symposium - LARS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
WATANABE, Thomio e WOLF, Denis Fernando. Verisimilar percept sequences tests for autonomous driving intelligent agent assessment. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE.2018.00048. Acesso em: 11 fev. 2026. -
APA
Watanabe, T., & Wolf, D. F. (2018). Verisimilar percept sequences tests for autonomous driving intelligent agent assessment. In Proceedings. Los Alamitos: IEEE. doi:10.1109/LARS/SBR/WRE.2018.00048 -
NLM
Watanabe T, Wolf DF. Verisimilar percept sequences tests for autonomous driving intelligent agent assessment [Internet]. Proceedings. 2018 ;[citado 2026 fev. 11 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE.2018.00048 -
Vancouver
Watanabe T, Wolf DF. Verisimilar percept sequences tests for autonomous driving intelligent agent assessment [Internet]. Proceedings. 2018 ;[citado 2026 fev. 11 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE.2018.00048 - A road following approach using artificial neural networks combinations
- Exploiting fully convolutional neural networks for fast road detection
- Desvio de obstáculos utilizando um método estéreo semi-global
- Vehicle detection with planar laser using different machine learning techniques
- Automatic semantic waypoint mapping applied to autonomous vehicles
- A clustering-based obstacle segmentation approach for urban environments
- UAV route planning for active disease classification
- Cooperative collision warning for driving assistance
- Monte Carlo localization on gaussian process occupancy maps for urban environments
- Road terrain detection: avoiding common obstacle detection assumptions using sensor fusion
Informações sobre o DOI: 10.1109/LARS/SBR/WRE.2018.00048 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
2933709.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
