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Ep. 179. 99% Is Not Enough for Autonomous Driving – with Stellantis
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99% Is Not Enough for Autonomous Driving? 🚘
It sounds impressive — but in the world of autonomous vehicles, 99% accuracy might still be dangerously insufficient.
As cars take over more responsibility on the road, even the smallest margin of error can have massive consequences.
So what does it really take to close that final gap, and what challenges lie ahead on the road to full autonomy?
You'll find out from Lukasz Szpot, Head of Data Solutions at Stellantis, Overall Tech Lead for L3 autonomous driving implementation, who is building an instrumented vehicle data platform to enable advancements in autonomous driving and smart cockpit development.
Here's what to expect:
- Insights into the latest advancements in autonomous vehicle technology
- The role of AI and machine learning in achieving high accuracy
- Challenges and opportunities in developing and implementing autonomous vehicles
…
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It sounds impressive — but in the world of autonomous vehicles, 99% accuracy might still be dangerously insufficient.
As cars take over more responsibility on the road, even the smallest margin of error can have massive consequences.
So what does it really take to close that final gap, and what challenges lie ahead on the road to full autonomy?
You'll find out from Lukasz Szpot, Head of Data Solutions at Stellantis, Overall Tech Lead for L3 autonomous driving implementation, who is building an instrumented vehicle data platform to enable advancements in autonomous driving and smart cockpit development.
Here's what to expect:
- Insights into the latest advancements in autonomous vehicle technology
- The role of AI and machine learning in achieving high accuracy
- Challenges and opportunities in developing and implementing autonomous vehicles
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