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CO-LOCATED EVENTS

Speaker

Luke Nguyen

AD & ADAS System Design, Volvo Cars

Experienced in automotive system and software engineering with a strong background in AD&ADAS, electronic system, and project management. Skilled in standards and regulations such as AUTOSAR, functional safety (ISO26262), Vehicle Cybersecurity ISO 21434 and SAE J3061, including R155, R156, R79, and ALKS R157. Currently working in Volvo Cars AD & ADAS Platform system Design - Camera Vision system, ensuring compliance with safety and cybersecurity standards. Previously served as an Engineering project manager at VINFAST LLC, leading AD & ADAS development projects for D/E segment cars and Premium versions. Proficient in cross-functional collaborations, problem-solving, and engineering leadership. Well-versed in project management methodologies, including Agile/Scrum and V-Model. Fluent in working in multicultural environments and experienced in international business engagements.

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Sessions

How can we ensure reliable, scalable sensor integration and validation for autonomous driving systems?

1 | Challenge Your Peers

Monday, September 29

05:00 pm - 06:00 pm

Live in Berlin

Less Details

  • What are the biggest challenges in fusing data from different sensor types?
  • How can OEMs best collaborate with suppliers and software partners for sensor integration?
  • Which validation methods are most effective across autonomy levels?
  • How should we manage software updates and sensor recalibration over time?
  • What standards or shared tools can help unify sensor validation across the industry?
Workshop

How can AI, ML, and data connectivity advancements bridge the gap between current autonomous capabilities and safe, scalable real-world deployment?

Panel Discussion

Monday, September 29

06:30 pm - 07:15 pm

Live in Berlin

Less Details

  • How can AI and ML models be trained to handle unpredictable real-world conditions, including rare and adversarial scenarios?
  • What are the limitations of simulation-based training, and how can real-world data be effectively incorporated to improve model robustness?
  • With massive sensor data streams, how can V2X communication and edge computing optimize real-time decision-making in autonomous vehicles?
  • How can AI models be designed to continuously learn, adapt, and generalize across different geographies, weather conditions, and traffic patterns?
  • What are the key AI safety and validation strategies required to meet regulatory standards and ensure reliable deployment at scale?
Panel Discussion

Company

Volvo Cars

https://volvocars.com
Everything we do starts with people. Our purpose is to provide freedom to move, in a personal, sustainable and safe way. We are committed to simplifying our customers’ lives by offering better technology solutions that improve their impact on the world and bringing the most advanced mobility innovations to protect them, their loved ones and the people around them. Volvo Cars’ continued success is the result of a collaborative, diverse, and inclusive working environment. The people of Volvo Cars are committed to making a difference in our world. Today, we are one of the most well-known and respected car brands, with over 40,000 employees across the globe. We believe in bringing out the best in each other and harnessing the true power of people. At Volvo Cars your career is designed around your talents and aspirations so you can reach your full potential. Join us on a journey of a lifetime as we create safety, autonomous driving and electrification technologies of tomorrow.
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