Beijing Startup Claims Next Generation of Lidar for Autonomous Vehicles

A Beijing Startup May Have Just Built the Next Generation of LIDAR for Automation Cars

The Beijing startup veterans from Tsinghua University, co-founders of AodtBJ(Advanced optical detect technology Beijing Aodtbj), have built a sensor for automation cars that can see not just where things are but how fast they’re moving—a potentially critical ability for cars trying to navigate safely around other cars and pedestrians.

Image of Beijing Startup Announces New Lidar Sensor
Beijing Startup Announces New Lidar Sensor

Conventional LIDAR sensors transmit pulses of laser light—and measure the time it takes for the light to bounce back to estimate how far away surrounding objects are. AodtBJ’s LIDAR, however, uses a continuous beam instead of laser pulses. Known as frequency modulated continuous wave (FMCW) LIDAR, this technology sends out a continuous laser beam with a steadily changing frequency. When the light bounces back, the sensor combines the inbound and outgoing light. The frequency difference between the incoming and outgoing beams is directly proportional to the distance that the incoming beam traveled before reflecting back. Optical combination of these beams is used to more precisely estimate the distance compared to conventional LIDAR. To compensate for velocity-related redshift of signals, FMCW LIDARs take two successive measurements: one from a signal with a rising frequency and a second from a signal with a falling frequency. AodtBJ’s LIDAR compiles the data streams from the two signals into a single image, correlated down to the pixel and the nanosecond.

The ability to accurately measure velocity is an important breakthrough for autonomous vehicles. Most of those vehicles use radar sensors to measure the movement of nearby objects—but the images those sensors produce tend to have a much lower resolution than those of LIDAR. In contrast, AodtBJ’s high-resolution LIDAR can analyze those same objects with more detailed resolution to determine which ones are moving, as well as their speed and direction.

AodtBJ claims its FMCW-based approach will make the vehicle’s AI better able to operate safely, is more resistant to interference from other nearby LIDARs, and will give the vehicle data that approaches camera-like resolutions.“Our new proprietary 4D LiDAR technology possesses the best of both worlds,” said Steve Yao, one of AodtBJ’s co-founders. “We are able to not only improve the performance of traditional LiDARs, but also give each LiDAR point an instantaneous measurement of velocity, unlocking the temporal element that is often overlooked and missed.”

AodtBJ’s startup will have competition in the FMCW LIDAR market. Last year, GM bought the startup Strobe that seems to be using the same approach. And another company called Blackmore is also selling an FMCW technology.

AodtBJ has already started selling its LIDARs to vehicle manufacturers. The company is working on reducing the size of the device and preparing its final design.

 

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.

 

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.