Pedestrian detectors in self-driving cars are less likely to detect kids and people of color, study shows.
A team of researchers in the UK and China tested how well eight popular pedestrian detectors worked depending on a person's race, gender, and age.
While gender only presented a small discrepancy in accuracy, researchers found the detection systems were less accurate at detecting pedestrians with dark skin tones.
The detection systems were 19.67% more likely to detect adults than children, and 7.52% more likely to detect people with lighter skin tones than people with darker skin tones, according to the study.
AdvertisementAdvertisementThe research team called on lawmakers to regulate self-driving car software to prevent bias in their detection systems.
Persons:
ChatGPT, Jie Zhang, Zhang
Organizations:
King's College London
Locations:
China