Methods and systems for moving traffic obstacle detection

Patent metadata

Field	Value
Publication number	US-10740628-B2
Application number	US-201715859382-A
Country	US
Kind code	B2
Filing date	Dec 30, 2017
Priority date	Jun 9, 2016
Publication date	Aug 11, 2020
Grant date	Aug 11, 2020

Abstract

The disclosure provides systems and methods for detecting, characterizing, and predicting moving traffic obstacles. The systems and methods are suitable for densely populated areas in resource-constrained regions. With the characterizations and predictions of moving traffic obstacles, a variety of benefits can accrue to individuals and devices that use traffic information.

First claim

What is claimed is:

1. A method for maneuvering a vehicle in a roadway having traffic obstacles, the method comprising:
establishing a communications link between a server and a device in a vehicle; and
communicating an alert to the device, wherein the alert is configured to cause the vehicle to maneuver based on a moving traffic obstacle path, wherein the moving traffic obstacle path is determined based on sensor data for a road segment, the sensor data corresponding to observations of an obstacle at a location along the road segment over a period of time;
wherein determination of the moving traffic obstacle path comprises:
receiving the sensor data for the road segment by a server via a network;
determining a set of gray scale pixels based on the observations, each pixel representing a time and location combination, and having an associated obstacle probability assigned based on the sensor data;
applying a modified Probabilistic Hough Transform to the set of gray scale pixels to obtain a Hough Transform space, wherein each value in the Hough Transform space is a log likelihood supported or opposed by each observation; and
identifying the moving traffic obstacle path by identifying a linear arrangement of locally maximum peak values in the Hough Transform space.

2. The method of claim 1 , wherein the sensor data is obtained from one or more sensors selected from: an onboard sensor on one or more probe vehicles as the one or more probe vehicles traverses the road segment; a fixed location sensor monitoring the road segment; and a combination thereof.

3. The method of claim 1 , wherein the sensor data corresponds to observations of one or more obstacles at one or more locations along the road segment over a period of time.

4. The method of claim 1 , wherein the alert is generated when the vehicle comes into proximity of the moving traffic obstacle path, and wherein the alert is configured to alter a user interface to display information suitable to cause a driver to initiate a maneuver, or wherein the alert is configured to cause an autonomous vehicle control system to initiate a maneuver.

5. The method of claim 1 , wherein the potential moving traffic obstacle path is stored in a moving traffic obstacle path database.

6. The method of claim 1 , wherein the communication is configured to cause a change in a graphical user interface on the device such that a user is notified of the moving traffic obstacle and is further notified of a suggested maneuver based on the moving traffic obstacle.

7. The method of claim 1 , wherein the communication is configured to cause an autonomous vehicle control system to maneuver based on the moving traffic obstacle.

8. The method of claim 1 , wherein the sensor data originates from one or more vehicles traversing the road segment, and wherein the one or more vehicles is a dedicated probe vehicle or is a non-dedicated vehicle having a mobile device configured to collect and transmit the sensor data.

9. The method of claim 1 , wherein the sensor data is from a camera, accelerometer, gyroscope, or combination thereof.

10. A method for maneuvering a vehicle in a roadway having traffic obstacles, the method comprising:
receiving sensor data for a road segment, the sensor data corresponding to observations of an obstacle at a location along the road segment over a period of time;
determining a set of gray scale pixels based on the observations, each pixel representing a time and location combination, and having an associated obstacle probability assigned based on the sensor data;
applying a modified Probabilistic Hough Transform to the set of gray scale pixels to obtain a Hough Transform space, wherein each value in the Hough Transform space is a log likelihood supported or opposed by each observation;
identifying a moving traffic obstacle path by identifying a linear arrangement of locally maximum peak values in the Hough Transform space;
adding the moving traffic obstacle path to a moving traffic obstacle database;
communicating an alert to a device in a vehicle, wherein the communication comprises the moving traffic obstacle path and is configured to cause the vehicle to maneuver based on the moving traffic obstacle path.

11. A method for instructing a vehicle to maneuver in a roadway, the method comprising:
processing, by a server, sensor data received by the server from at least one device comprising a sensor, the sensor data corresponding to observations of an obstacle at a location along a road segment over a period of time, the processing comprising the steps:
(a) determining a set of gray scale pixels based on the observations, each pixel representing a time and location combination, and having an associated obstacle probability assigned based on the sensor data;
(b) applying a modified Probabilistic Hough Transform to the set of gray scale pixels to obtain a Hough Transform space, wherein each value in the Hough Transform space is a log likelihood supported or opposed by each observation; and
(c) identifying a moving traffic obstacle path by identifying a linear arrangement of locally maximum peak values in the Hough Transform space;
establishing a communications link between the server and a device onboard a vehicle, the vehicle located on the road segment;
transmitting to the device via the communications link a message comprising information about the moving traffic obstacle and instructions for avoiding the moving traffic obstacle, wherein the message is configured to alter a graphical user interface of the device or to automatically alter the course of the vehicle.

12. The method of claim 11 , wherein the instructions comprise route information configured for display on a GUI and configured to instruct a user to maneuver the vehicle based on the moving traffic obstacle.

13. The method of claim 11 , wherein the instructions comprise machine-readable instructions configured to cause an autonomous vehicle control system to maneuver the vehicle based on the moving traffic obstacle.

14. The method of claim 11 , wherein the device comprising a sensor is a fixed device monitoring the road segment or is a mobile device configured to be disposed within a vehicle traversing the road segment.

15. The method of claim 11 , further comprising identifying a plurality of moving traffic obstacle paths by identifying a plurality of linear arrangements of locally maximum peak values in the Hough Transform space and consolidating the plurality of moving traffic obstacle paths.

Assignees

• IBM

Inventors

• Tatsubori Michiaki

Classifications

• G08G1/0112 Primary

  from the vehicle, e.g. floating car data [FCD] · CPC title

• G06V20/58

  Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads · CPC title

• G06V10/48

  by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation · CPC title

• G01C21/34

  Route searching; Route guidance · CPC title

• G08G1/096725

  where the received information generates an automatic action on the vehicle control · CPC title