Researchers have created an algorithm that could work alongside an extremely sensitive laser technology that reflects off nearby objects to help self-driving cars see around corners.
Imagine that a driverless car is making its way through a winding neighborhood street, about to make a sharp turn onto a road where a child’s ball is rolling across the street. Although no person in the car can see that ball, the car stops to avoid it.
By: Jeremy Straub, North Dakota State University
In the wake of car- and truck-based attacks around the world, most recently in New York City, cities are scrambling to protect busy pedestrian areas and popular events. It’s extremely difficult to prevent vehicles from being used as weapons, but technology can help.
Right now, cities are trying to determine where and how to place statues, spike strip nets and other barriers to protect crowds. Police departments are trying to gather better advance intelligence about potential threats, and training officers to respond – while regular people are seeking advice for surviving vehicle attacks.
These solutions aren’t enough: It’s impractical to put up physical barriers everywhere, and all but impossible to prevent would-be attackers from getting a vehicle. As a researcher of technologies for self-driving vehicles, I see that potential solutions already exist, and are built into many vehicles on the road today. There are, however, ethical questions to weigh about who should control the vehicle – the driver behind the wheel or the computer system that perceives potential danger in the human’s actions.
