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Ep. 179. 99% Is Not Enough for Autonomous Driving – with Stellantis

33:04
 
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Manage episode 484186577 series 3525286
محتوای ارائه شده توسط Netguru. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Netguru یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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
  continue reading

180 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 484186577 series 3525286
محتوای ارائه شده توسط Netguru. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Netguru یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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
  continue reading

180 قسمت

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