a new language for self-driving vehicles
 
 

A new language for
self-driving vehicles

Improving human interaction with autonomous vehicles

 
 
 
Squarespace test4 Kopie.jpg
 

We build human-centered tools that define how autonomous systems interact with people

 

Our pedestrian intent prediction platform makes autonomous vehicles safer and more efficient in urban environments.

 

Using culture and context specific predictions, we capture the full complexity of human behaviour in urban environments around the world.

 
 London (UK)

London (UK)

 New York City (US)

New York City (US)

 Mumbai (IN)

Mumbai (IN)

 Tokyo (JP)

Tokyo (JP)

 
 

We work with:

 
 
 

Join us

Are you excited to join a company truly trying to improve our interaction with autonomous vehicles? Have a look at our careers page and feel free to reach out!

 

We'll be speaking at:

 

Ars Electronica
Linz (AT)
 

07

Sept
2018


Techstars Demo Day
Detroit (US)
 

09

Oct
2018

 

1_agJg2z-lp734_NCTg9LUdA.png

Autonomous vehicles that serve society

The case for an integrated approach to autonomous vehicles in London

2018-06-06 02.36.23 1.jpg

Design Methodologies for Deep Learning

How design tools can help solve the major challenges of deep learning

1_agJg2z-lp734_NCTg9LUdA.jpeg

Why Deep Learning is a Design Challenge

And how design can improve technical performance of artificial intelligence

 

Follow us on:

 

Contact us

We are always looking for collaborations, interesting people and other opportunities.

If you have any questions or would like to find out more about our company, we would love to hear from you.

Email us at hello@humanisingautonomy.com