Tesla Using Lidar to Train AI

Tesla registered a new high resolution radar unit with the U.S. Federal Communications Commission (FCC). Tesla’s intended use for these radar units is unknown, but it appears they are intended for imaging, similar to how LiDAR uses lasers to map surroundings.

From an article in Not a Tesla App by Gabe Rodriguez Morrison.

While Tesla’s FSD software has used radar in the past, Elon Musk has a rather unfavorable stance on LiDAR. For the purposes of autonomous driving, Musk sees LiDARs as a “fool’s errand.” Yet, people have been spotting Tesla prototypes with LiDAR sensors since last year.

There has been no official announcement from Tesla about these LiDAR-mounted vehicles, but it is safe to assume that Tesla will not use LiDAR on any production vehicles.

Tesla is likely using LiDAR to help train their machine learning algorithms, using it as the ground truth when checking for accuracy. Unlike cameras, LiDAR captures extremely accurate 3D depth measurements.

LiDAR could be used to train these algorithms to accurately interpret depth by relying on precise, non-interpretive LiDAR sensors.

Cameras are limited to 2D data combined with computer vision algorithms to interpret 3D depth. The downside to this approach is that it requires a computational process versus having precise 3D depth measurement from a LiDAR sensor.

However, LiDAR sensors are expensive; the benefit of relying solely on cameras is that it makes Teslas much more affordable.

For the complete article on Tesla using lidar  CLICK HERE.

Note – If you liked this post click here to stay informed of all of the 3D laser scanning, geomatics, UAS, autonomous vehicle, Lidar News and more. If you have an informative 3D video that you would like us to promote, please forward to editor@lidarnews.com and if you would like to join the Younger Geospatial Professional movement click here