Тёмный

Deep learning for autonomous vehicles, from a system design perspective 

Kontron
Подписаться 761
Просмотров 20 тыс.
50% 1

Designing a suitable architecture for a changing and computationally demanding workload for autonomous driving (AD) is a difficult task. See why FPGAs are suitable for Autonomous driving applications.

Наука

Опубликовано:

 

2 авг 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 7   
@link1553B
@link1553B 4 дня назад
Is there any connector need to buy?we are selling connector for more than 10years,such as J30J, J599, Y50X, Y50EX, XCA, etc
@vaishnavi-jk9ve
@vaishnavi-jk9ve 3 года назад
how the information caught by the sensor encoded ?
@renlawrence3067
@renlawrence3067 5 лет назад
Thanks for the introduce.
@sjtripathy24
@sjtripathy24 2 года назад
Sir can I use ur video part for my project video ?
@vaishnavi-jk9ve
@vaishnavi-jk9ve 3 года назад
which part does AL AND DEEP LEARNING APPLIED?IS IT ON A HARDWARE MACHINE?
@gowtham-qj7qg
@gowtham-qj7qg 3 года назад
are you working in self driving cars?
@vaishnavi-jk9ve
@vaishnavi-jk9ve 3 года назад
plz do respond
Далее
The Truth About Self Driving Cars
16:30
Просмотров 161 тыс.
Google’s Chip Designing AI
13:18
Просмотров 190 тыс.
Chris Urmson: How a driverless car sees the road
15:30
Просмотров 858 тыс.
Why self-driving cars have stalled | It's Complicated
5:31
Self-Driving Car Levels Explained
7:08
Просмотров 513 тыс.
Battery  low 🔋 🪫
0:10
Просмотров 13 млн