B | Validation & Verification Stream | Solution Study
Monday, March 17
12:45 PM - 01:15 PM
Live in Berlin
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The journey from identifying data-related issues in perception models to effective ML training is crucial for next-generation autonomy programs. Data-driven workflows provide a robust framework that starts by triaging current model challenges, particularly when faced with insufficient training data. These innovative workflows streamline the collection and generation of diverse, high-quality datasets within a single platform, to help improve model performance through a combination of real and synthetic data.
In this session, you will learn how:
Kmeid Saad is an Application Engineering Manager at Applied Intuition. He leads technical engagements with automakers in the European region and professional services globally. Kmeid has 10+ years of experience working in the ADAS and AV domain. Prior to Applied Intuition, he occupied several positions at Ansys, Continental, and AVL. He has a PhD from Graz University of Technology in Electrical and Information Engineering.
Francisco Elias is a solution architect at Applied Intuition. He leads technical engagements with automakers and autonomy programs in the European region, and focuses on working with Tier1s and OEMs globally on sensor simulation topics, including software- and hardware-in-the-loop integration. He graduated with Bachelor's and Master's degrees in Electronics and Computer Engineering focused on robotics and computer vision.