A Neuromorphic Approach to LiDAR Point Cloud Processing

This technology is intended for use in autonomous vehicles. Sensors read object data as the vehicle is in motion while a processor implements certain maneuvers to avoid objects based on the data collected. This technology filters the data received in order to process data in a timely manner and determine best course of action.


Autonomous vehicles are not able to be fully autonomized. This is due to the difficulty in data processing stemming from the overwhelming amount of data that is read and limited time available to process and apply the data received.


This technology targets the more important data points and filters out all the unimportant data. This allows the system to process data much faster and more get more accurate results. By doing so, the vehicle is able to operate at high velocities where processing time is minimal.


Automobile manufactures and engineers have been trying to autonomize everyday vehicles to facilitate transportation. Implementation of this technology would allow for safer and easier travel.


Consumers would benefit in being able to multitask and perform other tasks and activities while driving. Drowsy and drunk driving accidents would be reduced dramatically. Transportation businesses would lose business but other companies with limited budgets and spending would be able to focus more of their resources, time, and employees on the goal of the business instead of travel and transportation.


Questions about this technology including licensing availability can be directed to:

Alan Edwards, MA, JD
Manager, Technology Transfer Services
(435) 797-2328 alan.edwards@usu.edu

USU ID C21030


Scott E. Budge, PhD
Electrical Engineering

Chaz B. Cornwall, MS
Electrical Engineering

Development Stage


Patent Status

Patent Pending