US Patent Application 17731021. METHOD FOR GENERATING RADAR PROJECTIONS TO REPRESENT ANGULAR UNCERTAINTY simplified abstract
Contents
METHOD FOR GENERATING RADAR PROJECTIONS TO REPRESENT ANGULAR UNCERTAINTY
Organization Name
TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor(s)
Charles Christopher Ochoa of Los Altos CA (US)
Arjun Bhargava of San Francisco CA (US)
Chao Fang of Los Altos CA (US)
Kun-Hsin Chen of Los Altos CA (US)
Kuan-Hui Lee of San Jose CA (US)
METHOD FOR GENERATING RADAR PROJECTIONS TO REPRESENT ANGULAR UNCERTAINTY - A simplified explanation of the abstract
This abstract first appeared for US patent application 17731021 titled 'METHOD FOR GENERATING RADAR PROJECTIONS TO REPRESENT ANGULAR UNCERTAINTY
Simplified Explanation
The patent application is about methods for gathering radar measurements and combining them with image data to overlay regions of uncertainty over a target. Here are the key points:
- The patent application focuses on gathering radar measurements that have angular uncertainties.
- A two-dimensional radar uncertainty cloud is generated, which includes shaded regions representing the angular uncertainties.
- Image data is captured, which includes targets within a specific area of interest.
- The radar uncertainty cloud is fused with the image data to overlay the regions of uncertainty over the targets.
- This innovation allows for a more accurate representation of the uncertainties associated with radar measurements when combined with image data.
Original Abstract Submitted
The disclosure generally relates to methods for gathering radar measurements, wherein the radar measurements includes one or more angular uncertainties, generating a two dimensional radar uncertainty cloud, wherein the radar uncertainty cloud includes one or more shaded regions that each represent an angular uncertainty, capturing image data, wherein the image data includes one or more targets within a region of interest, and fusing the two dimensional radar uncertainty cloud with the image data to overlay the one or more regions of uncertainty over a target.
