Bernardo Taveira

Industrial PhD student at Chalmers and Zenseact

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I am a 2nd-year industrial PhD student at Zenseact and Chalmers University of Technology working with Fredrik Kahl and the Computer Vision group. My research focuses on machine learning, predominantly generative methods applied to autonomous driving challenges. Currently, I am exploring novel view synthesis, scene generation, and sensor realistic generation with funding from WASP.

Regarding my background, I hold a MSc in Systems, Control and Mechatronics from Chalmers University of Technology and a BSc in Electrical and Computer Engineering from Técnico, University of Lisbon.

Previously, I worked as a Hybrid System Software Engineer at Koenigsegg. During my Master’s studies, I also founded and led the Autonomous System group for the Chalmers Formula Student autonomous racing project.

news

May 08, 2026 🎉 Our paper Scalable GPU Construction of 3D Voronoi and Power Diagrams has been accepted to SIGGRAPH 2026!
Apr 05, 2026 🎉 Our paper R3D2 has been accepted to the CVPR Workshop on Autonomous Driving!
Mar 02, 2026 Released MojoSplat, an experimental implementation of 3D Gaussian Splatting kernels in Mojo for PyTorch, exploring multi-vendor GPU performance.

selected publications

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    Bernardo Taveira*, Carl Lindström*, Maryam Fatemi, and 2 more authors
    In ACM SIGGRAPH 2026 Conference Papers, 2026
  2. r3d2.gif
    William Ljungbergh*, Bernardo Taveira*, Wenzhao Zheng, and 8 more authors
    In CVPR Workshop on Autonomous Driving, 2026
  3. timepilars_range.png
    Ernesto Lozano Calvo, Bernardo Taveira, Fredrik Kahl, and 3 more authors
    2023