时时彩自动投注软件:Driverless cars may be more likely to hit dark-skinned people, study finds

Concerning research has found that self-driving cars may be more likely to run over dark-skinned pedestrians as a result of the detection system used.

广东时时彩11选五March 13, 201911:52am

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More than 50 per cent of Australian drivers say they will not feel safe in driverless vehicles, according to a national study about the future of transport. The survey also revealed more than 30 per cent of people believe autonomous vehicles should be used only to transport goods and not people. NRMA’s Peter Khoury told Sky News despite the concerns, driverless vehicles have the potential to make roads safer.

Disturbing issue with driverless cars. Picture: Predictive Inequity in Pedestrian DetectionSource:Supplied

There are concerns that self-driving cars may pose a serious threat to some members of the public after a study found that the cars are less likely to detect people with darker skin.

Researchers from the Georgia Institute of Technology found automated vehicles were better at detecting people with lighter skin tones.

The paper, titled Predictive Inequity in Object Detection, raised concerns that pedestrians with dark skin could have a higher risk of being run over by these vehicles.

There have already been cases of pedestrians being hit by self-driving cars, including the woman who was killed in the US by a driverless Uber in 2018.

Situations such as this prove that there are already risks to pedestrians that need to be considered.

The study found the detection technology was less accurate when identifying dark skinned pedestrians. Picture: Predictive Inequity in Pedestrian Detection

The study found the detection technology was less accurate when identifying dark skinned pedestrians. Picture: Predictive Inequity in Pedestrian DetectionSource:Supplied

“This behaviour suggests that future errors made by autonomous vehicles may not be evenly distributed across different demographic groups,” the study read.

“A natural question to ask is which pedestrians these systems detect with lower fidelity, and why they display this behaviour.”

The study used the Fitzpatrick scale, a system that classifies different skin tones, and fed the different images into the object detection technology used in these driverless cars.

Researchers then analysed how often the system correctly detected the presence of people in the dark-skinned group compared to those in the light-skinned group.

The results proved unsettling, revealing on average the technology was 5 per cent less accurate in detecting people with dark skin tones.

The academics also accounted for factors like time of day, lighting and other objects that may have obstructed the detection system’s view.

This has raised concerns that driverless cars may pose more of a threat to certain people. Picture: Predictive Inequity in Pedestrian Detection

This has raised concerns that driverless cars may pose more of a threat to certain people. Picture: Predictive Inequity in Pedestrian DetectionSource:Supplied

This means that the disparity between detections is not just a result of dark skinned people in the images “appearing in more difficult scenes for detection”, according to the study.

One of the authors of the study, Jamie Morgenstern, told Vox the companies using these detection technologies may need to have other systems in place as well.

“The main takeaway from our work is that vision systems that share common structures to the ones we tested should be looked at more closely,” Ms Morgenstern said.

Though the findings were concerning, it has been pointed out that there were some flaws in the research.

Researchers were unable to test the object detection models actually being used by self-driving car manufacturers, as these companies don’t want to make their personal data available for that purpose.

This means that they had to instead had to use already publicly available datasets and test different models that have already been used by other researchers.

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