Publications

To reduce cost and ease integration, the race to miniturize automotive LiDAR is on. Overall, billions of venture capital dollars have been invested in LiDAR vendors.

Automotive LiDAR is a brutal but exciting business, and there will be big winners, just like there were in the fiber optics boom-and-bust period 20 years ago. 

IoT or the Internet of Things has been widely deployed in the past decade as sensors became smarter, paving the way for the  ongoing revolution in the Autonomy of Things.

LiDAR is one of the most discussed and deployed 3D imaging techniques for AoT™ (Autonomy of Things) including autonomous vehicles (AV), smart infrastructure, and more. 

With an increase in AoT™ (Autonomy of Things), the role of cameras, computing and machine learning in providing human-like vision and cognition is becoming significant. 

One way to reduce space debris is to use sensors including cameras and LiDAR (Light Detection and Ranging) systems for 3D positional mapping of space debris objects. 

Remote sensing using LiDAR is being deployed to create color maps and 3D maps of biomass projects. This data can then be used to estimate the carbon absorption capacity of different biomass projects.  

Thermal imaging measures temperature differences by imaging each resolved point to a corresponding pixel in a camera sensor. Today, thermal imaging serves applications from medical diagnostics and to nighttime driving. 

WiFi uses modulated radio waves for short-range wireless data communications. LiFi uses the same idea, except it uses modulated visible light rather than radio waves. And it is poised to revolutionize multiple applications.