Humanising Autonomy improves safety and efficiency of autonomous mobility systems through better understanding of human behaviour across cities.
Autonomous systems are unable to understand the complexities of human behaviour, which creates one of the primary obstacles in the development of automated vehicles in cities. Current solutions don’t consider the full range of human behaviour at street level. This lack of perceptive abilities and understanding makes vehicles unsafe around people, and slows down the technology’s adoption rate and efficiency in navigating urban environments.
Humanising Autonomy has built a human intent prediction application that is able to recognise and predict human behaviour from visual camera footage. Its main application is in automated vehicles as it allows the vehicle to make better decisions in terms of vehicle path planning and pedestrian interactions to improve the safety, societal acceptance, and deployment of level 2+ automated vehicles.
The three founders all met during the Innovation Design Engineering Programme at Imperial College and the Royal College of Art. The business idea originated in a group project, done during the final year of the Innovation Design Engineering course. During this project the team developed an interface named Blink – that allowed for two-way communication between pedestrians and autonomous vehicles.
Maya explains, “Imperial Venture Mentoring Service helped us connect with great advisors.
We have advisors that have been supporting us during our journey from Imperial students to Entrepreneurs. These advisors are either in London or the US.”
“We joined the Venture Catalyst Challenge with an idea, a prototype that was developed during our final year at Innovation Design Engineering, and the idea of turning this into a business. VCC helped us take the first steps through business coaching, investor introductions and a platform to develop our business proposition.”
In 2018, Humanising Autonomy have grown to a team of 10 people, validated and tested their product and started collaborations with Mobility partners, such as Daimler Mercedes Benz and Airbus.
Moving forward, the team plan to raise a new financing round, expand the customer base, and start embedding their human intent prediction platform into automated vehicles and V2X systems.
Maya says her advice when starting a business would be, “be persistent, and don’t be afraid to share your idea with a lot of different people!”