IP Library › Granted Patent US 11,059,489
Granted Patent B2
US 11,059,489 · App. 16/169,149 · Granted Jul 13, 2021

Methods and systems for detecting road surface conditions

Inventor: David Insana (Manchester, NH)
Assignee: Valeo Radar Systems, Inc.
B60W40/06G01B15/08G01S7/352G01S13/89B60W2420/52G01S2007/356
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Quick Facts
Patent No.
US 11,059,489
App. No.
16/169,149
Granted
Jul 13, 2021
Kind
B2
Abstract

The present disclosure relates to detecting road surface conditions. A road surface detector comprises a transmitter, receiver, and one or more processors. The transmitter is configured to transmit one or more radio frequency (RF) beams at a road surface. The receiver is configured to receive RF reflections of the one or more transmitted RF beams at two or more receive channels. The one or more processors are to determine a road surface condition based on a doppler signature of the received RF reflections. A method comprises transmitting one or more radio frequency (RF) beams at a road surface. RF reflections of the one or more transmitted RF beams are receives at two or more receive channels. The method includes determining a road surface condition based on a doppler signature of the received RF reflections.

Claims (39)

1. A method for detecting road surface conditions, the method comprising:

transmitting one or more radio frequency (RF) beams at a road surface;

receiving RF reflections of the one or more transmitted RF beams at two or more receive channels;

determining a road surface condition based on a doppler signature of the received RF reflections;

performing Frequency Fourier Transform (FFT) processing of the RF reflections on each of the two or more receive channels;

determining range, doppler, phase difference and magnitude based on the FFT processing;

determining angle and azimuth of the RF reflections based on the phase difference;

filtering the received RF reflections to remove those RF reflections that originate outside the FoV;

determining a doppler speed from the filtered RF reflections;

generating a normalized doppler signal that is a function of the doppler speed and a vehicle speed; and

generating first and second histograms of the normalized doppler signal;

wherein the first histogram comprises data received from the RF reflections originating from a near region of the road surface and the second histogram comprising data from the RF reflections originating from a far region of the road surface, and

determining the road surface condition based a quality factor (Q-factor) of each histogram.

2. The method of claim 1 further comprising transmitting the one or more RF beams using one or more sensors.

3. The method of claim 2 further comprising directing the one or more RF beams in front of and/or behind a vehicle traveling on a road surface.

4. The method of claim 1 controlling the transmission of the one or more beams such that each beam has a field of view (FoV) selected to limit a spread of normalized doppler and provide a statistical amount of data sufficient for an accurate determination of a road surface condition.

5. The method of claim 4 further comprising generating an RF waveform for transmission via the one or more RF beams, the RF waveform comprising a plurality of chirps with each chirp having a transmit duration.

6. The method of claim 5 further comprising generating each chirp to have a slope that is a function frequency change over the transmit duration.

7. The method of claim 5 wherein a single data cycle count comprises 64 chirps.

8. A road surface condition detector comprising:

a transmitter configured to transmit one or more radio frequency (RF) beams at a road surface;

a receiver configured to receive RF reflections of the one or more transmitted RF beams at two or more receive channels;

one or more processors configured to:

determine a road surface condition based on a doppler signature of the received RF reflections,

perform Frequency Fourier Transform (FFT) processing of the RF reflections on each of the two or more receive channels;

determine range, doppler, phase difference and magnitude based on the FFT processing;

determine angle and azimuth of the RF reflections based on the phase difference;

filter the received RF reflections to move those RF reflections that originate outside the FoV;

determine a doppler speed from the filtered RF reflections;

generate a normalized doppler signal that is a function of the doppler speed and a vehicle speed;

generate first and second histograms of the normalized doppler signal;

wherein the first histogram comprises data received from the RF reflections originating from a near region of the road surface and the second histogram originating from a far region of the road surface; and

determine the road surface condition based a quality (O) factor of each histogram.

9. The detector of claim 8 wherein the transmitter comprises one or more spaced apart sensors configured to transmit the one or more RF beams.

10. The detector of claim 8 wherein the transmitter is further configured to direct the one or more RF beams in front of and/or behind a vehicle traveling on a road surface.

11. The detector of claim 10 wherein the transmitter is further configured to control the transmission of the one or more beams such that each beam has a field of view (FoV) selected to limit a spread of normalized doppler and provide a statistical amount of data sufficient for an accurate determination of a road surface condition.

12. The detector of claim 11 wherein the transmitter generates an RF waveform for transmission via the one or more RF beams, the RF waveform comprising a plurality of chirps with each chirp having a transmit duration.

13. The detector of claim 12 wherein each chirp has a slope that is a function frequency change over the transmit duration.

14. The detector of claim 13 wherein a single data cycle count comprises 64 chirps.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 30, 2018
From: INSANA, DAVID
To: VALEO RADAR SYSTEMS, INC.
Reel/Frame 047357/0388 →
Continuity (1)
Related Publication 20200130697A1 · Apr 30, 2020