CNN-Planner: a neural path planner based on sensor fusion in the bird's eye view representation space for mapless autonomous driving (2022)
- Authors:
- USP affiliated authors: WOLF, DENIS FERNANDO - ICMC ; OSÓRIO, FERNANDO SANTOS - ICMC ; ROSERO, LUIS ALBERTO ROSERO - ICMC ; SILVA, JÚNIOR ANDERSON RODRIGUES DA - ICMC
- Unidade: ICMC
- DOI: 10.1109/LARS/SBR/WRE56824.2022.9995888
- Subjects: VEÍCULOS AUTÔNOMOS; TOMADA DE DECISÃO; APRENDIZADO COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2022
- Source:
- Título: Proceedings
- ISSN: 2643-685X
- 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
ROSERO, Luis Alberto Rosero et al. CNN-Planner: a neural path planner based on sensor fusion in the bird's eye view representation space for mapless autonomous driving. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995888. Acesso em: 30 dez. 2025. -
APA
Rosero, L. A. R., Silva, J. A. R. da, Wolf, D. F., & Osório, F. S. (2022). CNN-Planner: a neural path planner based on sensor fusion in the bird's eye view representation space for mapless autonomous driving. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE56824.2022.9995888 -
NLM
Rosero LAR, Silva JAR da, Wolf DF, Osório FS. CNN-Planner: a neural path planner based on sensor fusion in the bird's eye view representation space for mapless autonomous driving [Internet]. Proceedings. 2022 ;[citado 2025 dez. 30 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995888 -
Vancouver
Rosero LAR, Silva JAR da, Wolf DF, Osório FS. CNN-Planner: a neural path planner based on sensor fusion in the bird's eye view representation space for mapless autonomous driving [Internet]. Proceedings. 2022 ;[citado 2025 dez. 30 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995888 - Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems
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- Performance evaluation of different machine learning techniques with stereo vision used to road detection task
- Adaptive finite state machine based visual autonomous navigation system
Informações sobre o DOI: 10.1109/LARS/SBR/WRE56824.2022.9995888 (Fonte: oaDOI API)
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