YonoHub

Yonohub is a Cloud platform for development, integration, and deployment of complex software systems, including AI, Autonomous Driving, and Robotics.

[YonoHub @YonoHub]

Check PandaSet Dataset in action at Yonohub
PandaSet is a public large-scale dataset for autonomous driving provided by Hesai & Scale. It enables researchers to study challenging urban driving situations using the full sensor suit of a self-driving-car.
https://t.co/srx7QW33H1

[YonoHub @YonoHub]

One of the most crucial advantages of Yonohub is the seamless integration between new algorithms and datasets. Check our new pipeline when we integrate state-of-the-art Lane Detection (PINet) with the existing automotive datasets
https://t.co/HsuykSTHJs
#artificialintelligence

[YonoHub @YonoHub]

Check AutoRally in action at Yonohub
AutoRally is a high-performance testbed for self-driving vehicle research
https://t.co/fquTz60eDf

#pipeline #ai #automotive #research #artificialintelligence #machinelearning #selfdrivingvehicles #AutoRally

[YonoHub @YonoHub]

What if you can use Autoware with AirSim directly on the cloud without any installation or re-writing any code?

Check this sneak peek video.

#AirSim #simulation #drones #self_driving_cars #Autoware

[YonoHub @YonoHub]

What if you can use Autoware with AirSim directly on the cloud without any installation or re-writing any code?

Check this sneak peek video.
https://t.co/F5pMfgjKUS

#AirSim #simulation #drones #self_driving_cars #Autoware https://t.co/BwBeUW0zL8

[YonoHub @YonoHub]

What if you can use Autoware auto directly on the cloud without any installation or re-writing any code?

In this article, we will learn how to build an Autoware auto package and how to use it.

https://t.co/cYCZckre78

#Autoware #Robotics #selfdrivingcar

[YonoHub @YonoHub]

Don't miss out on our new tutorial about integrating https://t.co/tXpvvV6jub from Autoware Foundation with Yonohub!
Check our sneak peek video and follow us to learn more!

https://t.co/1T3kzMn11K
#Autoware #Robotics #selfdrivingcar

[YonoHub @YonoHub]

Check the second article from Autoware series of tutorials about using it directly on the cloud without any installation or re-writing any code!

https://t.co/5g7pAkcA51

#Autoware #Robotics #selfdrivingcar

[YonoHub @YonoHub]

Don't miss our series of tutorials about deploying deep learning models on the edge!

In today's tutorial, we described how to use #Yonohub in deploying a detection block that is easily deployed Raspberry PI.

https://t.co/8Phkulm4dg
#TinyML #on_device_ML #EdgeML #Tensorflow_lite

[YonoHub @YonoHub]

Check the first article from Autoware series of tutorials about using it directly on the cloud without any installation or re-writing any code!

https://t.co/5k7R5fiaA4
#Autoware #Robotics #selfdrivingcar

[YonoHub @YonoHub]

Check this sneak peek from our series of tutorials about Software on the loop using FlightGear simulators

https://t.co/Hjz0zMSU2l

#flightgear #Drone #robotics

[YonoHub @YonoHub]

Did you that in #Yonohub, we have more than five simulators ready for use and can communicate with each other seamlessly?

- No need for the setup!
- No need for integration!

#Carla #CarMaker #AirSim #SUMO #FlightGear
#Robotics #artificialintelligence #automotiveindustry

[YonoHub @YonoHub]

In #Yonohub, we are introducing a new platform for collaboration across teams and companies. Check out our tutorials to know how we do it.

Want to know more?
Contact us [email protected] to learn more.

#ِAutomotive #artificialintelligence #robotics #automotiveindustry

[YonoHub @YonoHub]

What if you can use Autoware directly on the cloud without any installation or re-writing any code?

Check our next tutorial.

#Autoware #Robotics #selfdrivingcar

[YonoHub @YonoHub]

You build software for a car or robot.
We build the platform that lets you build it faster, robust, secure, and more productive.

#ِAutomotive #Robotics #Artificial_intelligence

[YonoHub @YonoHub]

Don't miss our series of tutorials about Tensorflow blocks!

In today's #tutorial, we described how to use #Yonohub in developing an image classification block that is easily integrated with any existing datasets.

https://t.co/JprDXV9GGp

#Tensorflow #machine_learning

[YonoHub @YonoHub]

Don't miss our article today!

https://t.co/bTJYAdN5Jn

#Tensorflow #machine_learning #deep_learning

[YonoHub @YonoHub]

In today's #tutorial, we described how to use #Yonohub in developing a ROS2 package that performs semantic segmentation.

https://t.co/HQTSEX8Xxn

#ROS2 #Robotics #semantic_segmentation

[YonoHub @YonoHub]

Did you know that we have more than eight datasets on the #yonohub store, ready for use without any download or installations?

#ApolloScape #Berkeley_DeepDrive #Comma_ai #KITTI #Lyft #nuScenes

#artificialintelligence #automotiveindustry #robotics

[YonoHub @YonoHub]

@iampsk98 @DLR_de Check the official script: https://t.co/4Ys34tp9jg
as well as our modified version: https://t.co/TAfddiqOIS

[YonoHub @YonoHub]

@iampsk98 @DLR_de The number of vehicles created per simulation time step (flow) is determined by the following procedure:
# demand per second from different directions
pWE = 1. / 10
pEW = 1. / 11
pNS = 1. / 30