
System Design for Autonomous Vehicles with Drago Anguelov - #454
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Designing for Autonomy: Challenges and Innovations
This chapter explores the intricate process of designing autonomous driving systems, focusing on sensor data transformation and the evolution of APIs. It highlights the importance of modular system design, continuous learning, and the integration of recent advancements like graphical neural networks. The discussion underscores the unique challenges in the robotics domain and the continual quest for improved performance and safety in autonomous vehicles.
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