Researchers are developing a safety system that analyzes ambient noise from moving vehicles within a radius of 60 meters..
Newer car models have sensors that automatically detect human collision problems, but the distracted pedestrian has never had one. funds. While walking to work in the morning, one of the engineers at Columbia University noticed that due to his new noise canceling headphones, he was distracted more than usual on the way. Having told about this to colleagues from the University of North Carolina at Chapel Hill and Barnard-J..
Headphone Accident Study
As a low power sensor used four inexpensive microphones powered by a lithium-ion battery, which were placed inside the left earpiece. A special integrated circuit extracts the most important audio signals from the environment and transmits this information in the application on the connected smartphone.
A program on a mobile device uses machine learning algorithms to determine the approach of a car. The AI system is capable of distinguishing the sounds of 60 types of vehicles in various environments: residential area, busy center and deserted street. However, the radius of its action is still limited to 60 meters., what gives pedestrian for about a few seconds to react to the signal.
The technology is at an early stage of development and still has difficulties in determining the trajectory of traffic, therefore it reacts to vehicles that may not be moving in the direction of the pedestrian. The team is currently working on this feature using other information. In parallel, researchers use optimal audio signals that enable pedestrians to clearly identify threats..
The invention will not solve all pedestrian safety problems, but a few seconds warning can help..
Advances in unmanned vehicle technology are encouraging researchers to work even harder towards safety. for instance, Rivian patents technologies for the safe transportation of children, the elderly or the mentally retarded in self-driving cars with remote monitoring systems and mentally retarded vehicles.
text: Ilya Bauer, photo: Columbia University
Smart Headphones Could Save Pedestrians From Being Hit By Cars