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Software Engineering Daily

Bonus Episode: How to Build a Self-Driving Car with Ian Williams

Apr 19, 2024
37:44
Snipd AI
Senior Staff Software Engineer Ian Williams from Cruise, Google, Lyft, and eBay discusses the challenges in building self-driving cars, including integrating sensors, ML models, and engineering systems. Topics cover ML perception tasks, safety in ML systems, perception systems in autonomous vehicles, and real-time model challenges in deploying self-driving cars.
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Podcast summary created with Snipd AI

Quick takeaways

  • Building self-driving cars involves integrating various technologies like sensor data and ML models.
  • Ensuring the safety of autonomous systems requires evaluating machine learning models with statistical approaches.

Deep dives

Challenges in Building Self-Driving Cars

Building self-driving cars involves integrating various technologies such as sensor data, ML models, and software engineering. Ian Williams from Cruise discusses the engineering challenges and strategies in this space, drawing from his experience at companies like Google and Lyft. Perception teams focus on interpreting sensor data to make sense of the environment for the vehicles.

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