- Patent Title: Inverse radar sensor model and evidential grid mapping processors
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Application No.: US17472809Application Date: 2021-09-13
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Publication No.: US11994582B2Publication Date: 2024-05-28
- Inventor: Gunawath Dilshan Godaliyadda , June Chul Roh
- Applicant: Texas Instruments Incorporated
- Applicant Address: US TX Dallas
- Assignee: Texas Instruments Incorporated
- Current Assignee: Texas Instruments Incorporated
- Current Assignee Address: US TX Dallas
- Agent Michael T. Gabrik; Frank D. Cimino
- Main IPC: G01S13/931
- IPC: G01S13/931 ; G01S13/72 ; G01S13/00

Abstract:
An apparatus includes an inverse radar sensor model processor and a grid mapping processor. The inverse radar sensor model processor receives radar sensor data for a time k from a radar sensor, generates object data based on the radar sensor data, and calculates instantaneous masses at the time k for each cell in a field of view (FOV) of the radar sensor based on the object data and a sensor characteristic. The inverse radar sensor model processor outputs the calculated instantaneous masses to the grid mapping processor, which also receives accumulated masses for each cell in the FOV for a time period 0:k−1. An accumulated mass represents a combination of instantaneous masses for the cell at each time increment in the time period 0:k−1. The grid mapping processor generates updated accumulated masses for a time period 0:k.
Public/Granted literature
- US20230089552A1 INVERSE RADAR SENSOR MODEL AND EVIDENTIAL GRID MAPPING PROCESSORS Public/Granted day:2023-03-23
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