Number of investors
2 Jul 22
31 Dec 22
Institutional ownership, Q1 2022
|13F holders||Current||Prev Q||Change|
|13F shares||Current||Prev Q||Change|
|Total put/call ratio||0.6||0.1||+302.4%|
|TROW T. Rowe Price||55.73M||$301.71M||-1.1%|
|TM Toyota Motor||47.56M||$471.34M||0.0%|
|SB Investment Advisers||39.42M||$220.34M||0.0%|
|Index Venture Growth Associates III||38.41M||$214.72M||0.0%|
|MS Morgan Stanley||18.36M||$102.62M||+0.1%|
|Baillie Gifford & Co||15M||$83.85M||0.0%|
|Lightspeed Ultimate General Partner Select III||11.75M||$65.66M||0.0%|
|Millennium TVP Management||0||-4.15M||EXIT|
|Nikko Asset Management Americas||2.28M||+1.49M||+189.3%|
|Soros Fund Management||0||-1M||EXIT|
|Weiss Asset Management||0||-885.17K||EXIT|
|CMTDF Sumitomo Mitsui Trust||0||-788.47K||EXIT|
Registration and prospectus
Systems and methods for IQ detection
16 Mar 21
A system and method for combining multiple functions of a light detection and ranging (LIDAR) system includes receiving a second optical beam generated by the laser source or a second laser source, wherein the second optical beam is associated with a second local oscillator (LO); splitting the second optical beam into a third split optical beam and a fourth split optical beam; transmitting, to the optical device, the third split optical beam and the fourth split optical beam; receiving, from the optical device, a third reflected beam that is associated with the third split optical beam and a fourth reflected beam that is associated with the fourth split optical beam; and pairing the third reflected beam with the second LO signal and the fourth reflected beam with the second LO signal.
9 Mar 21
A LIDAR system includes a laser source configured to output a first beam and a polygon scanner.
Camera calibration system
9 Mar 21
Implementations set forth herein relate to a camera calibration system for generating various types of calibration data by maneuvering a camera through a variety of different calibration test systems.
Control of autonomous vehicle based on determined yaw parameter(s) of additional vehicle
2 Feb 21
Determining yaw parameter(s) (e.g., at least one yaw rate) of an additional vehicle that is in addition to a vehicle being autonomously controlled, and adapting autonomous control of the vehicle based on the determined yaw parameter(s) of the additional vehicle.
Training Machine Learning Model Based On Training Instances With: Training Instance Input Based On Autonomous Vehicle Sensor Data, and Training Instance Output Based On Additional Vehicle Sensor Data
16 Dec 20
Various implementations described herein generate training instances that each include corresponding training instance input that is based on corresponding sensor data of a corresponding autonomous vehicle, and that include corresponding training instance output that is based on corresponding sensor data of a corresponding additional vehicle, where the corresponding additional vehicle is captured at least in part by the corresponding sensor data of the corresponding autonomous vehicle.