A virtual meetup about data and AI for driver assistance and autonomous vehicles. Talks examine road mapping for training and simulation, multimodal sensor data, and the engineering challenges of automated driving systems.
When
Sep 17, 2026
Where
Online event
Attendance
Virtual
Status
scheduled
Event type
Meetup · Published by organizer
Registration
See the organizer for current access, pricing and registration details.
ADAS and autonomous vehicle systems rely on increasingly complex data from cameras, video, LiDAR, radar, and other sensor streams. In this session, Murilo will introduce Voxel51 and explore how the latest multimodal capabilities in FiftyOne help teams bring these data sources together to better understand their datasets and model behavior. He’ll discuss how unified workflows for visualization, search, curation, and evaluation can help ADAS and AV teams uncover challenging scenarios, investigate model failures, and build safer, more reliable autonomous systems.
Building reliable automated driving systems is as much a data and engineering challenge as a modeling one. In this talk, Tin will share perspectives from his work at Porsche AG on applying modern AI methods across the autonomous driving development process, from making sense of large-scale driving data to understanding and evaluating how AI-based systems behave on the road. He'll discuss lessons learned from real-world development, where today's approaches shine, and where hard problems remain for the ADAS and AV community.
Physical AI systems are increasingly constrained not by model architectures, but by the availability of scalable, high-fidelity real-world data. This talk explores how Dynamic Map Platform transforms survey-grade road assets collected across 1.8 million km of roads worldwide into training- and simulation-ready datasets, including point clouds, imagery, HD maps, road surface models, and 3D Gaussian Splatting representations.
We will discuss why geometric accuracy, semantic understanding, and real-world diversity are critical to building robust autonomous driving systems. Attendees will learn how real-world geospatial data can be structured and scaled for AI training and simulation workflows.
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sponsors
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exhibitors
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attendees
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agenda
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Sources
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Published schedule: 9:00 AM - 11:00 AM PST. Exact time and timezone withheld because organizer abbreviations are not independently reconciled. Full biographies/abstracts retained in immutable HTML receipt. Sponsor, exhibitor and attendee lists not inferred from speaker employers. Session local day: the published single-day event page groups these agenda items/talks on 2026-09-17. Exact times remain unknown where timezone labels are unresolved.