I am a Research Engineer at Uber Advanced Technologies Group (ATG) in Toronto, supervised by prof. Raquel Urtasun. Previously, I obtained my MSc. at the University of Toronto, also under the supervision of prof. Urtasun.
Background
- 2017-2018 Masters of Science degree in Computer Science - University of Toronto - Canada
- 2015-2016 Visiting Student - Electrical & Computer Engineering - University of Toronto - Canada
- 2012-2017 Undergraduate degree in Computer Engineering - Federal University of Espirito Santo - Brazil
Publications
- D. Frossard, S. Suo, S. Casas, J. Tu, R. Rui and R. Urtasun, “StrObe: Streaming Object Detection from LiDAR Packets”. To appear at: Conference on Robot Learning (CoRL), 2020. [PDF] [BIBTEX]
- D. Frossard, E. Kee and R. Urtasun, “DeepSignals: Predicting Intent of Drivers Through Visual Signals”. IEEE International Conference on Robotics and Automation (ICRA), 2019. [PDF] [BIBTEX]
- D. Frossard and R. Urtasun, “End-to-end learning of multi-sensor 3D tracking by detection”. IEEE International Conference on Robotics and Automation (ICRA), 2018. [PDF] [BIBTEX]
Patents
- D. Frossard, E. Kee and R. Urtasun, “System and Method for Determining Object Intention Through Visual Attributes”. U.S. Patent Application No. 16 / 286,160, 2019
- D. Frossard and R. Urtasun, “End-to-end tracking of objects”, U.S. Patent Application No. 16 / 122,203, 2019, 2019
Reviewer Services
- Brazilian Symposium of Operational Research (SBPO XLIX)
- International Joint Conference on Neural Networks (IJCNN 2017)
- International Conference on Robotics and Automation (ICRA 2019)
- Intelligent Vehicles Symposium (IV 2019)