Robotics & Machine Learning Daily News2024,Issue(Oct.9) :227-231.

Patent Application Titled 'Adaptive Region-Based Object Sampling For Object Dete ction' Published Online (USPTO 20240312188)

Robotics & Machine Learning Daily News2024,Issue(Oct.9) :227-231.

Patent Application Titled 'Adaptive Region-Based Object Sampling For Object Dete ction' Published Online (USPTO 20240312188)

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Abstract

According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors NARAYANAN, Venkatraman (Farmington Hills, MI, US); RAVI KUMAR, Varun (San Diego, CA, US); YOGAMANI, Senthil Kumar (Headford, IE), filed on March 17, 2023, was made available online on September 19, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "A light detection and ranging (LIDAR) system scans (e.g., acr oss azimuth and elevation) an environment using one or more lasers and calculate s distances between the LIDAR system and objects in the environment based on las er light reflected by the objects (e.g., using a time-of-flight (TOF) or indirec t time-of-flight technique). Data from a LIDAR system captured at a given time c an be referred to herein as a "LIDAR capture." A LIDAR capture can include spati al data including three-dimensional coordinates (e.g., a point cloud) representi ng objects in the environment. The three-dimensional coordinates can be derived from the calculated distances between the LIDAR system and the objects at a numb er of respective azimuth and elevation angles.

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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