Cost-efficient visual perception for autonomous vehicles: leveraging attention-based sensor fusion to maintain performance (2026)
- Authors:
- USP affiliated authors: BONATO, VANDERLEI - ICMC ; WOLF, DENIS FERNANDO - ICMC ; HONORATO, EDUARDO SPERLE - ICMC
- Unidade: ICMC
- Subjects: IMAGEM 3D; VEÍCULOS AUTÔNOMOS; PROCESSAMENTO DE IMAGENS
- Keywords: Attention Mechanism; Multi-Sensor Fusion; Segmentation; 3D ObjectDetection
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science - LNCS
- Volume/Número/Paginação/Ano: v. 16179, p. 285-299, p. 2026
- Conference titles: Conferência Brasileira de Sistemas Inteligentes - BRACIS
-
ABNT
HONORATO, Eduardo Sperle e BONATO, Vanderlei e WOLF, Denis Fernando. Cost-efficient visual perception for autonomous vehicles: leveraging attention-based sensor fusion to maintain performance. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-032-15987-8_19. Acesso em: 31 mar. 2026. , 2026 -
APA
Honorato, E. S., Bonato, V., & Wolf, D. F. (2026). Cost-efficient visual perception for autonomous vehicles: leveraging attention-based sensor fusion to maintain performance. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Recuperado de https://doi.org/10.1007/978-3-032-15987-8_19 -
NLM
Honorato ES, Bonato V, Wolf DF. Cost-efficient visual perception for autonomous vehicles: leveraging attention-based sensor fusion to maintain performance [Internet]. Lecture Notes in Computer Science - LNCS. 2026 ; 16179 2026.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_19 -
Vancouver
Honorato ES, Bonato V, Wolf DF. Cost-efficient visual perception for autonomous vehicles: leveraging attention-based sensor fusion to maintain performance [Internet]. Lecture Notes in Computer Science - LNCS. 2026 ; 16179 2026.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_19 - Enhancing 3D object detection in autonomous vehicles: multi-sensor fusion with attention mechanisms
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- Improving U-Net with attention mechanism for medical image segmentation applications
- Out-of-distribution object detection in autonomous vehicles with Yolo model
- Designing FPGA-based embedded systems with MARTE: a PIM to PSM converter
- LALPC: exploiting parallelism from FPGAS using C language
- Run-time cache configuration for the LEON-3 embedded processor
- Special issue on applied reconfigurable computing [Editorial]
- Scaling up modulo scheduling for high-level synthesis
- Designing embedded systems with MARTE: a PIM to PSM converter
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