One of the things that hinders the spread of self-driving cars is that they can't see humans, cars, or any other obstruction that is parked outside the range of the car's camera.
To solve this problem, experts from Australia are developing a new technique based on "X-rays" called "collaborative or collective visualization" (CP).
The new technology, developed by iMOVE, an Australian government-funded research center with support from the University of Sydney, is nearly three years old.
CP technology consists of smart stations, roadside camera systems, and advanced sensors that are equipped with cars, enabling them to communicate with each other and send data in order to warn of the presence of humans or cars in a critical viewing angle.
For example, at a busy intersection, vehicles may use this technology to share what they see with other vehicles.
Researchers explain to the Daily Mail, Tuesday, that self-driving vehicles are powered by artificial intelligence (AI) that is trained to detect pedestrians in order to know when to stop and avoid collision.
The Australian Government-backed 'Intelligent Transport' programme, has piloted the new technology on public roads in Sydney.
“This innovation is a game-changer for both human-operated and autonomous vehicles, which we hope will greatly improve the efficiency and safety of road transport,” says Professor Eduardo Nebot, from the Australian Center for Robotics at the University of Sydney.
In one test, the technology-equipped car was able to visually track a pedestrian whose appearance was obstructed by a building, as information about the person's presence was sent by another car whose cameras spotted the person's presence.
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