Sr. Engineering Manager L6, Perception at Woven by Toyota
Dexter, Michigan, United States
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Summary
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Jacopo Serafin is a senior engineering leader with 13 years of experience building perception, object tracking, and prediction systems for automated driving, currently leading Perception at Woven by Toyota. With a Ph.D. in Computer Science and a research background at Toyota Research Institute, he blends deep academic expertise in SLAM, 3D mapping and robotics with hands-on delivery of production-grade features. He has advanced through individual contributor research roles into L6 management, coaching teams to deploy cutting-edge tracking and prediction pipelines. An active contributor to open-source graph optimization (adding 3D line representations to the widely used g2o framework), Jacopo brings both algorithmic rigor and practical systems engineering to large-scale autonomy projects. Based in Dexter, Michigan, he pairs technical leadership with a track record of shipping complex perception stacks for real-world vehicles.
13 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Engineering in Computer Science, Doctor of Philosophy (Ph.D.) Engineering in Computer Science at Sapienza Università di Roma
Contributions summary:Jacopo primarily focused on implementing 3D line representations and related functionalities within the g2o framework. They developed the `Line3D` class, including methods for conversions (to/from Cartesian and orthonormal representations) and operations such as `oplus` and `ominus`. Their work involved debugging and testing the new line representation and integration with the existing SLAM framework. The user also added example code using the new structures.
Normal Iterative Closest Point (NICP) Algorithm C++ Library
Contributions:1 release, 74 commits, 5 PRs in 7 years 7 months
cppclosestc-libraryiterativenormal
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Jacopo Serafin - Sr. Engineering Manager L6, Perception at Woven by Toyota