Search Results for author: Lucas Tabelini

Found 4 papers, 3 papers with code

Deep traffic light detection by overlaying synthetic context on arbitrary natural images

1 code implementation7 Nov 2020 Jean Pablo Vieira de Mello, Lucas Tabelini, Rodrigo F. Berriel, Thiago M. Paixão, Alberto F. de Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos

By providing real image samples with traffic context to the network, the model learns to detect and classify elements of interest, such as pedestrians, traffic signs, and traffic lights.

Autonomous Driving

Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection

2 code implementations CVPR 2021 Lucas Tabelini, Rodrigo Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. de Souza, Thiago Oliveira-Santos

Modern lane detection methods have achieved remarkable performances in complex real-world scenarios, but many have issues maintaining real-time efficiency, which is important for autonomous vehicles.

Lane Detection

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