Stream A | Solution Study
Monday, March 11
03:30 PM - 04:00 PM
Live in Berlin
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This presentation focuses on the critical role of AI in advancing AD functions, particularly in vehicle perception. We explore the shift towards deep learning in vehicle perception. Further, the presentation emphasizes the strategic necessity for automotive companies to develop AI-enhanced AD-Stacks, adaptable to the rapid advancements in AI technology.
The key focus of this session will strengthen the importance of rigorous benchmarking and testing in AD-Stack development. Mohammed discusses the need for scenario-based data collection and standardized testing protocols, vital for evolving AD-Stacks. He concludes with insights into our latest innovations in AI for AD-Stacks, including research on deep reinforcement learning for vehicle control and the development of high-modularity neural network architectures, focusing on camera-based systems.
R&D program manager with strong knowledge of artificial intelligence and automation. Deep experience in research, publications and development in the digital field and in the acquisition of funding. Passionate ML/DL Engineer with over 8 years of experience in project management and team leadership.
The Pop in Your Job:
Developing products that have an impact and shape the future.