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The team found that self-driving cars were more likely to hit black people and children
A study conducted by King's College London's research team showed that self-driving cars had a higher rate of false positives when facing black people and children. The team used eight pedestrian-specific detection systems currently on the market to conduct multi-scenario tests under different brightness, contrast and weather conditions. The results showed that the self-driving system was significantly less accurate at identifying black people and children.
According to the research report, the team collected information from 8311 pictures in different environments and added corresponding labels according to the posture, gender, body shape, age and other characteristics of pedestrians in the pictures. Among them, there were 16,070 gender labels, 20,115 age labels, and 3,513 skin color labels. Subsequently, the team analyzed the detection results of the autonomous driving system and found that people of different ages and different skin colors had a high false positive rate. Among them, the unruly rate of people of different ages was as high as 19.67%, and the unruly rate of people with different skin colors reached 7.52%.
Further analysis showed that misconduct was more prominent in children. The child crime rate is 22.05% during the day and as high as 26.62% at night. At the same time, the incidence of thoughtless behavior is much higher for darker-skinned people than for lighter-skinned people. During the day, the rate of misconduct among darker-skinned people was 7.14%, while at night it reached 9.68%.
Insufficient technology leads to a high false positive rate
The research report pointed out that the main reason for the high false positive rate of autonomous driving systems is that the technology has not yet been perfected. At present, autonomous driving systems on the market mainly use cameras, lidar, and related sensors to sense road conditions and pedestrians. But these systems are susceptible to extreme weather, ambient light, pedestrian backgrounds, and other factors that can lead to errors in judgment.
Taking children as an example, when the vehicle is far away from the children on the road, the image captured by the system has a low resolution, which is easy to have a false perception of smaller children, resulting in misjudgment. In the same way, darker-skinned pedestrians can easily be misjudged by the system. Even some netizens said that even cars driven by humans have difficulty identifying black people or people dressed in black at night.
There is room for progress in autonomous vehicles
The findings suggest that there is still a lot of room for improvement in self-driving cars. While the state has begun to roll out Level 2 autonomous driving systems, and Level 3 systems will be rolled out in the next few years, more black people and children may encounter accidents on the road if these systems become blindly widespread.
Therefore, regardless of whether autonomous driving systems are widespread or not, drivers need to stay focused and not rely too much on electronic systems to ensure safe driving. Since the current technology is not yet perfect, drivers should be highly vigilant and prepared to take measures to prevent accidents.
Summary:
The research team's findings have attracted a lot of attention. The development of self-driving cars is the trend of the times, but this technology still has certain limitations in human judgment and perception. For some groups such as blacks and children, the accuracy of the autonomous driving system is poor and it is easy to misjudge. This situation is not only a technical problem, but also related to whether humans fully consider the characteristics of different groups of people when designing algorithms.
Therefore, future autonomous driving technology needs to be continuously improved and innovated to improve the ability to accurately identify specific groups of people. At the same time, strict regulations and regulations are needed to ensure personal safety. It is critical that the driver remains alert and focused, and autonomous driving systems can only be used as an aid, not a complete replacement.
On the road to safer and smarter autonomous driving systems, researchers, automakers, regulators and the public need to work together to ensure the sustainable development of autonomous driving technology and provide safer and more convenient ways for people to travel. Only then can we embrace the bright future of autonomous driving technology.
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