Advancing ADAS and Autonomous Vehicle Development with Multimodal Data| Voxel51

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. Murilo Gustineli is a Machine Learning Engineer at Voxel51 working at the intersection of representation learning and computer vision. He holds an M.S. in Computer Science from Georgia Tech, where he co-leads the DS@GT Applied Research & Competitions group, advancing machine learning research through competitive challenges and peer-reviewed publications. * FiftyOne Multimodal - https://docs.voxel51.com/user_guide/multimodal.html#fiftyone-multimodal * 10 Multimodal MCAP Datasets in 2026: SLAM Benchmarks, Sensor Fusion, and Ground-Truth Object Detection in FiftyOne - https://voxel51.com/blog/mcap-datasets-multimodal-robotics-fiftyone #FiftyOne #Voxel51 #DataCuration #AIAgents #ComputerVision #MCP #YOLO #DataCentricAI #skills #agenticai