Understanding pedestrian-vehicle interactions with vehicle mounted vision: an LSTM model and empirical analysis (2019)
- Authors:
- USP affiliated authors: WOLF, DENIS FERNANDO - ICMC ; RIDEL, DANIELA ALVES - ICMC
- Unidade: ICMC
- DOI: 10.1109/IVS.2019.8813798
- Subjects: CIRCULAÇÃO DE PEDESTRES; VEÍCULOS AUTÔNOMOS; TRÁFEGO RODOVIÁRIO; ANÁLISE DE TRAJETÓRIAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2019
- Source:
- Título: Proceedings
- Conference titles: IEEE Intelligent Vehicles Symposium - IV
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
RIDEL, Daniela Alves et al. Understanding pedestrian-vehicle interactions with vehicle mounted vision: an LSTM model and empirical analysis. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/IVS.2019.8813798. Acesso em: 01 mar. 2026. -
APA
Ridel, D. A., Deo, N., Wolf, D. F., & Trivedi, M. (2019). Understanding pedestrian-vehicle interactions with vehicle mounted vision: an LSTM model and empirical analysis. In Proceedings. Piscataway: IEEE. doi:10.1109/IVS.2019.8813798 -
NLM
Ridel DA, Deo N, Wolf DF, Trivedi M. Understanding pedestrian-vehicle interactions with vehicle mounted vision: an LSTM model and empirical analysis [Internet]. Proceedings. 2019 ;[citado 2026 mar. 01 ] Available from: https://doi.org/10.1109/IVS.2019.8813798 -
Vancouver
Ridel DA, Deo N, Wolf DF, Trivedi M. Understanding pedestrian-vehicle interactions with vehicle mounted vision: an LSTM model and empirical analysis [Internet]. Proceedings. 2019 ;[citado 2026 mar. 01 ] Available from: https://doi.org/10.1109/IVS.2019.8813798 - Scene compliant trajectory forecast with agent-centric spatio-temporal grids
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Informações sobre o DOI: 10.1109/IVS.2019.8813798 (Fonte: oaDOI API)
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