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To solve this problem, Pacala and his team created a
Sept. 15, 2018 by Kenneth Newton 
To solve this problem, Pacala and his team created a second OS-1 in which the lidar beam was set to beam into the eye, and the camera used a dedicated chip that reads an image of reflected light, which is then converted to a 3D camera image with laser pulses. The resulting 3D image is then displayed to the OS-1. This results in a 3D image that is more accurate than any other 3D camera.
Pacala describes the process as "very quick" and "very simple."
"The next challenge is the ability to process data from the OS-1 lidar image," he says. "We decided to use optical information on our lidar beam to tell the OS-1 that it is a 3D camera. This is a big breakthrough for OS-1 and also a key to improving user experience."
Pacala says the OS-1 already has a 2D sensing system that can capture 3D images of the scene, and he adds that it will be able to record 2D images of other devices in the future.
"We are not at the point where we are able to tell if a sensor is fully integrated with a device or not," he says. "We are working on a very efficient design that is capable of doing so, and that could ultimately enable us to build a 2D sensor that can be very, very efficient."
Pacala says lidar is not the only camera making its way into the self-driving world.