Computer Sciences

Human vision—a challenge for AI

Achieving diversity in human vision is one of the major challenges for AI research. In the vast majority of cases, we are better than machines at understanding the world around us. But machines are catching up—slowly but ...

Automotive

11 more crash deaths are linked to automated-tech vehicles

Eleven people were killed in U.S. crashes involving vehicles that were using automated driving systems during a four-month period earlier this year, according to newly released government data, part of an alarming pattern ...

Engineering

LiDAR and radar sensors—space-saving headlight installation

People use their eyes and ears to pick up on traffic situations involving potential hazards. For self-driving vehicles to do the same thing, they need a whole host of sensors. As the number of sensors they contain increases, ...

Robotics

Can eyes on self-driving cars reduce accidents?

Robotic eyes on autonomous vehicles could improve pedestrian safety, according to a new study at the University of Tokyo. Participants played out scenarios in virtual reality (VR) and had to decide whether to cross a road ...

Automotive

Advancing human-like perception in self-driving vehicles

How can mobile robots perceive and understand the environment correctly, even if parts of the environment are occluded by other objects? This is a key question that must be solved for self-driving vehicles to safely navigate ...

Automotive

UK public want self-driving cars to be labelled

Nearly nine out of 10 people in the UK (86%) want self-driving vehicles to be labeled so they can be clearly distinguished from human-driven vehicles, according to a major new survey led by UCL researchers.

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