Road marking detection Using LIDAR reflective intensity data and its application to vehicle localization (2014)
- Authors:
- USP affiliated authors: WOLF, DENIS FERNANDO - ICMC ; HATA, ALBERTO YUKINOBU - ICMC
- Unidade: ICMC
- DOI: 10.1109/ITSC.2014.6957753
- Subjects: VEÍCULOS AUTÔNOMOS; CÓDIGO DE TRÂNSITO; ANÁLISE DE DADOS
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2014
- Source:
- Título do periódico: Proceedings
- Conference titles: IEEE International Conference on Intelligent Transportation Systems - ITSC
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
HATA, Alberto Yukinobu e WOLF, Denis Fernando. Road marking detection Using LIDAR reflective intensity data and its application to vehicle localization. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/ITSC.2014.6957753. Acesso em: 29 mar. 2024. -
APA
Hata, A. Y., & Wolf, D. F. (2014). Road marking detection Using LIDAR reflective intensity data and its application to vehicle localization. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ITSC.2014.6957753 -
NLM
Hata AY, Wolf DF. Road marking detection Using LIDAR reflective intensity data and its application to vehicle localization [Internet]. Proceedings. 2014 ;[citado 2024 mar. 29 ] Available from: https://doi.org/10.1109/ITSC.2014.6957753 -
Vancouver
Hata AY, Wolf DF. Road marking detection Using LIDAR reflective intensity data and its application to vehicle localization [Internet]. Proceedings. 2014 ;[citado 2024 mar. 29 ] Available from: https://doi.org/10.1109/ITSC.2014.6957753 - Road features detection and sparse map-based vehicle localization in urban environments
- Mapeamento de ambientes externos utilizando robôs móveis
- Real time autonomous navigation and obstacle avoidance using a semi-global stereo method
- Fast metric multi-object vehicle tracking for dynamical environment comprehension
- Feature detection for vehicle localization in urban environments using a multilayer LIDAR
- Solving the monocular visual odometry scale problem with the efficient second-order minimization method
- Path recognition for outdoor navigation
- Vision-based outdoor navigation using mobile robots
- A new metric for evaluating semantic segmentation: leveraging global and contour accuracy
- Contribuições para o desenvolvimento de robôs e veículos artônomos
Informações sobre o DOI: 10.1109/ITSC.2014.6957753 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas