Method and apparatus for processing radar data
US-2020174096-A1 · Jun 4, 2020 · US
US12130353B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12130353-B2 |
| Application number | US-202217588049-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 28, 2022 |
| Priority date | Jan 29, 2021 |
| Publication date | Oct 29, 2024 |
| Grant date | Oct 29, 2024 |
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A method of determining ego-motion information of a vehicle comprising a radar sensor having a plurality of antenna elements, comprising: acquiring motion spectrum comprising a plurality of data elements, each calculated for a respective one of a plurality of Doppler bin indices and for a respective one of a plurality of spatial bin indices, each spatial bin index indicating a respective angle-of-arrival of a radar return signal at the radar sensor; and determining the ego-motion information by solving a motion equation system comprising equations of motion generated using the motion spectrum data and each relating a respective value indicating a radial velocity, a respective value indicating an angular displacement, and a variable indicating a velocity of the vehicle.
Opening claim text (preview).
What is claimed is: 1. A method comprising: determining ego-motion information of a vehicle including a radar sensor having a plurality of antenna elements, determining the ego-motion information comprising: acquiring a set of motion spectrum data that is based on radar data generated by the radar sensor, the set of motion spectrum data comprising a plurality of data elements, each of the data elements calculated for a respective Doppler bin index of a plurality of Doppler bin indices and for a respective spatial bin index of a plurality of spatial bin indices, each spatial bin index being indicative of a respective angle of arrival of a radar return signal relative to an axis of the radar sensor; determining the ego-motion information by solving a motion equation system comprising a plurality of equations of motion that are generated using the set of motion spectrum data, each equation of motion relating a respective value indicative of a radial velocity of a stationary object relative to the radar sensor, a respective value indicative of an angular displacement of the stationary object with respect to the axis of the radar sensor, and a variable indicative of a velocity of the vehicle; and using the ego-motion information to control at least one of an Advance Driving Assistant System (ADAS) or an autonomous driving application of the vehicle; wherein each equation of motion is of a form: d =(− l y cos(θ+θ M )+ l x sin(θ+θ M ))ω+cos(θ+θ M ) v x +sin(θ+θ M ) v y wherein d is indicative of a radial velocity of the stationary object, θ is indicative of an angular displacement of the stationary target relative to the axis of the radar sensor, θ M is indicative of a mounting angle of the radar sensor that is an angle between the axis of the radar sensor and an axis of a vehicle coordinate system of the vehicle, l x is indicative of a mounting position of the radar sensor along an X-axis of the vehicle coordinate system, and l y is indicative of a mounting position of the radar sensor along a Y-axis of the vehicle coordinate system, v x is indicative of an X-component of a velocity of the vehicle, and v y is indicative of a Y-component of the velocity of the vehicle, ω is indicative of a yaw rate of the vehicle, and the ego-motion information comprises values of v x , v y and ω. 2. The method according to claim 1 , wherein K is a number of radar sensors each having a plurality of antenna elements mounted at K different positions on the vehicle, K is an integer greater than or equal to two, a respective set of motion spectrum data is acquired for each of the K number of radar sensors, each respective set of motion spectrum data is based on radar data generated by the radar sensor, determining the ego-motion information comprises estimating the values of v x , v y and ω by solving the motion equation system: D = H · E D = [ d 1 d 2 ⋮ d K ] , H = [ M 1 T 1 L 1 M 2 T 2 L 2 ⋮ M K T K L K ] , E = [ ω v x v y ] d k = [ d k , 1 , d k , 2
of land vehicles · CPC title
on the side of the vehicles · CPC title
in the back of the vehicles · CPC title
in the front of the vehicles · CPC title
Combinations of radar systems, e.g. primary radar and secondary radar · CPC title
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