The ride-hailing app recently submitted a patent for an integrated augmented reality system that would help drivers better locate their passengers, using past pickup and drop-off data to determine ideal locations

Finding one's rideshare amongst all the other cars on the road can be a tricky at times, particularly at night. Lyft is reportedly taking steps to ease this pain point by creating an augmented reality (AR) system that would project rider's locations to help drivers find them.

According to the documents published by federal regulators, Lyft is looking to create an AR system that will help find passengers as well as establish safe spaces for drivers to stop/park while picking up. The system uses machine learning to assess all the data collected by Lyft drivers over the last six years to compile optimal pickup points and help pinpoint the customer who called for the ride.

According to the patent filing, the system will work by “identifying a driver assigned to the passenger; generating an augmented reality element corresponding to a real-world environment surrounding the driver and indicating the ideal pickup location; and providing, to the driver by way of an AR device associated with the driver, the generated AR element corresponding to the real-world environment surrounding the driver.” Pending approval, the technology is expected to be integrated Lyft's systems in the near future.

Lyft

Finding one's rideshare amongst all the other cars on the road can be a tricky at times, particularly at night. Lyft is reportedly taking steps to ease this pain point by creating an augmented reality (AR) system that would project rider's locations to help drivers find them.

According to the documents published by federal regulators, Lyft is looking to create an AR system that will help find passengers as well as establish safe spaces for drivers to stop/park while picking up. The system uses machine learning to assess all the data collected by Lyft drivers over the last six years to compile optimal pickup points and help pinpoint the customer who called for the ride.