Lidar Challenges Lidar sensors can generate millions of data points per second, resulting in large, complex data sets that can be difficult to manage and process. This can require significant computational resources and experience, making it a challenge for many organizations to work with and process LIDAR data. Jim Curry, vice president of product at Blackmore Sensors and Analytics, said that the telecommunications industry, by reducing the cost of 1550-nanometer sources, is allowing the use of cheaper materials in production. People think that 1550 can never be cheap and that's wrong.
Blackmore claims that its LiDAR with frequency and wavelength modulation of 1550 nanometers eliminates random light sources and can capture data from 400 meters away. The company is one of several startups that are trying to convert their LiDAR technology into a complementary metal oxide semiconductor (CMOS) technology, the same one used in the transistors integrated into most of today's computer microchips. Whether 905 or 1550 nanometer wavelength systems prevail, range is a big problem for LiDAR. How close, how far, how wide, and with what precision can LiDAR systems build the 3D image from point clouds consisting of millions of pixels? Alan Adler works in Michigan as a writer of news, reports and technical issues for various media, after a 20-year career in national and international communications at General Motors.
He was a reporter and editor for The Associated Press and Detroit Free Press. Alan writes about technology, autonomous and electrified vehicles, transportation, sports, real estate development, and other topics. The wear of the bearings in rotating LIDAR systems can also be detected using an IMU, which allows the LIDAR to be repaired before a fault occurs in the field. Almost all companies value LiDAR because it is the best for measuring distances and detecting obstacles, so LiDAR is considered necessary for safety reasons.
In typical Musk style, Tesla is a bit atypical when it comes to developing autonomous vehicles that do not use LiDAR (Light Detection and Ranging) as one of their sensors, while many others insist that LiDAR is absolutely necessary for autonomous driving.