The biggest obstacle facing auto-driving cars or human communication behavior
According to the MIT Technology Review website, the biggest obstacle for autonomous vehicles is not to track other vehicles, or to avoid unfamiliar obstacles, but the most bizarre and most confusing phenomenon: human behavior.
A self-driving startup called Drive.ai takes human-computer interaction as a key part of its strategy. The company has several artificial intelligence researchers from Stanford University who are developing a system that can be trained to interpret data from sensors and control vehicle behavior. But what's more unusual is that they are still exploring ways to learn the rules of driver and pedestrian behavior in cars. In the coming weeks, Drive.ai will begin testing self-driving cars in California with a display and audio system to facilitate car and pedestrian communication.
This effort may prove to be very important, especially if the first self-driving cars may not be truly unmanned.
Carol Reiley, co-founder and president of Drive.ai, said, “Everyone is talking about this magical world: all cars that run on the road use autonomous driving.â€
Raleigh is a robotics expert at Johns Hopkins University and has previously studied medical robots. The MIT Technology Review said she said that Drive.ai is unique in that it uses machine learning technology for car driving and human-computer interaction. She pointed out that some daily interactions—such as apologizing for parking another driver, and thanking others at the crossroads for letting them pass first, would be completely different with autonomous cars.
"I expect people's behavior to change because of autonomous cars," Raleigh said. She said that autonomous vehicles may need to do different actions in different locations, and it takes time to determine the optimal action. "But we think we From the very beginning, we need to consider human factors and find effective solutions."
The first product of Drive.ai will be the hardware needed to convert an ordinary car into an autonomous car. It will be provided to companies operating fleets along specific routes, such as courier companies or taxi companies. In addition to the sensors and systems needed to control the car, Drive.ai's first product includes a communication system mounted on the roof and a novel in-vehicle system interface.
According to the MIT Technology Review, Drive.ai will experiment with words, sounds, light, and even movements to communicate with drivers and pedestrians. The roof-mounted display tells pedestrians when they can safely cross the road and ask other drivers to make way. The system utilizes deep learning techniques, and deep learning techniques are very powerful in teaching machines to learn how to accomplish tasks that are difficult to accomplish through procedures.
Bryan Reimer, a scientist at the Massachusetts Institute of Technology who studies automation and driver behavior, says organizations and people who develop autonomous driving systems pay little attention to human behavior.
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