Autonomous driving systems must operate seamlessly across diverse road conditions and ride types, requiring a combination of advanced sensor fusion, adaptive AI algorithms, and real-time situational awareness. This session explores how AI-driven autonomous systems navigate complex urban environments safely, ensuring robust and reliable performance. Through real-world use cases and technical insights, attendees will gain a deeper understanding of how multi-layered AI architectures are transforming mobility and shaping the future of autonomous vehicles.

• Discover how AI-powered decision-making enhances safety across diverse driving conditions
• Learn about scalable and adaptive system designs that enable integration across various vehicle platforms
• Gain insights from extensive validation testing, demonstrating the ability to handle edge cases in real-world traffic