Traveling safety control system using ambient noise and control method thereof

Patent metadata

Field	Value
Publication number	US-10943486-B2
Application number	US-201916678815-A
Country	US
Kind code	B2
Filing date	Nov 8, 2019
Priority date	Nov 29, 2018
Publication date	Mar 9, 2021
Grant date	Mar 9, 2021

Abstract

A traveling safety control system using ambient noise may include a microphone mounted in an operating vehicle and for receiving ambient noise; and a signal processing controller for comparing the ambient noise with vehicle noise characteristic data and determining traveling information related to a nearby vehicle through an artificial intelligence-based analysis.

First claim

What is claimed is:

1. A traveling safety control system using ambient noise, the traveling safety control system comprising:
a microphone mounted in an operating vehicle and of receiving the ambient noise; and
a signal processing controller configured for comparing the ambient noise with vehicle noise characteristic data and determining traveling information related to a nearby vehicle through an artificial intelligence-based analysis,
wherein the signal processing controller calculates a relative speed of the nearby vehicle and the operating vehicle through a sound pressure change analysis of the ambient noise, and identifies a type of the nearby vehicle and an engine type through a frequency change analysis of the ambient noise.

2. The traveling safety control system using the ambient noise of claim 1 ,
wherein at least a pair of microphones including the microphone mounted in the operating vehicle is configured to be spaced from each other along a longitudinal direction on a side surface of the operating vehicle.

3. The traveling safety control system using the ambient noise of claim 1 , further including a control module of controlling a traveling of the operating vehicle according to the traveling information related to the nearby vehicle.

4. The traveling safety control system using the ambient noise of claim 3 ,
wherein the control module includes at least one of an accelerator pedal controller, a brake braking controller, and a wheel steering controller.

5. The traveling safety control system using the ambient noise of claim 1 ,
wherein the signal processing controller includes a Long Short Term Memory (LSTM) learning algorithm.

6. The traveling safety control system using the ambient noise of claim 1 ,
wherein the microphone is directional.

7. The traveling safety control system using the ambient noise of claim 2 ,
wherein the at least a pair of the microphones is mounted at a front, a rear, a right, and a left of the operating vehicle, respectively.

8. The traveling safety control system using the ambient noise of claim 1 , further including:
a display unit of visualizing information related to the operating vehicle and the traveling information related to the nearby vehicle by receiving traveling condition data of the operating vehicle and road situation data during traveling.

9. The traveling safety control system using the ambient noise of claim 8 ,
wherein the traveling condition data includes at least one among a Controller Area Network (CAN) signal, a vehicle speed and a pedal opening amount, a gear position, and congestion information and speed limit information related to a road during traveling.

10. The traveling safety control system using the ambient noise of claim 9 ,
wherein the display unit displays to select one of an autonomous traveling or a manual operation according to a predicted traveling state of the nearby vehicle.

11. The traveling safety control system using the ambient noise of claim 1 , further including an image acquisition unit of providing the signal processing controller with image information related to the nearby vehicle by use of a Radar or a camera.

12. A safe traveling control method of using ambient noise, the safe traveling control method including:
receiving the ambient noise through a microphone mounted in an operating vehicle; and
determining a type of a nearby vehicle by comparing the received ambient noise with vehicle noise characteristic data through artificial intelligence, and determining traveling information related to the nearby vehicle through a sound pressure change analysis and a frequency change analysis of the ambient noise,
wherein the determining includes determining of whether the nearby vehicle is any one of acceleration state, deceleration state, and constant-speed traveling state by calculating a relative speed of the operating vehicle and the nearby vehicle through the sound pressure change analysis of the ambient noise, and identifying the type of the nearby vehicle and an engine type through the frequency change analysis of the ambient noise.

13. The safe traveling control method of using the ambient noise of claim 12 , further including:
controlling at least one of a vehicle speed and a steering of the operating vehicle according to the traveling information related to the nearby vehicle.

14. The safe traveling control method of using the ambient noise of claim 12 ,
wherein the artificial intelligence includes a Long Short Term Memory (LSTM) learning algorithm.

15. The safe traveling control method of using the ambient noise of claim 12 ,
wherein the artificial intelligence is configured to identify the type of the nearby vehicle and an engine type through the frequency change analysis.

16. The safe traveling control method of using the ambient noise of claim 12 , further including:
displaying visualizing information related to the operating vehicle and the traveling information related to the nearby vehicle by receiving traveling condition data of the operating vehicle and road situation data during traveling.

17. The safe traveling control method of using the ambient noise of claim 16 ,
wherein the traveling condition data includes at least one among Controller Area Network (CAN) signal, vehicle speed and pedal opening amount, gear position, and congestion information and speed limit information related to a road during traveling.

18. The safe traveling control method of using the ambient noise of claim 12 , further including:
acquiring an image to add the acquired image to the determining by receiving image information related to the nearby vehicle using at least one among Radar information and camera information.

Assignees

• Hyundai Motor Co Ltd
• Kia Motors Corp

Inventors

• Lee Dong-Chul
• Jung In-Soo

Classifications

• G06N3/044

  Recurrent networks, e.g. Hopfield networks · CPC title

• G06N3/0442

  characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU] · CPC title

• G06N3/09

  Supervised learning · CPC title

• B60W40/10

  related to vehicle motion · CPC title

• B60W60/005

  Handover processes (Handing over between remote control and on-board control or handing over between remote control arrangements G05D1/227) · CPC title