AI DISRUPTORS
Humanising Autonomy
“ HUMANISING AUTONOMY AIMS
TO CREATE AN
ENVIRONMENT IN WHICH AUTONOMOUS SYSTEMS ARE ABLE TO BETTER UNDERSTAND HUMAN BEHAVIOUR – A KEY OBSTACLE IN
THE DEVELOPMENT OF AUTOMATED VEHICLES
IN CROWDED CITIES ” which autonomous systems are able to better understand human behaviour – a key obstacle in the development of automated vehicles in crowded cities .
The lack of perceptive abilities can make existing automated vehicles unsafe around densely pedestrianised areas , slowing down the adoption of self-driving cars . Humanising Autonomy ’ s solution uses AI and machine learning to create a human intent prediction application which can recognise and predict human behaviour from visual camera footage . If the camera detects a person at the side of a road looking down at a phone , for example , a more cautious approach can be taken to take into account the pedestrian ’ s potential lack of awareness while being distracted by their phone .
The end result is a solution that enables safer roads by preventing accidents and near misses , with faster and more efficient journeys , with less hard-braking events . The company also makes it clear that their software is never used to identify , track , or trace with its camera analysis .
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