# US 2017/0282916 A1 · System and method for controlling vehicle components based on camera-obtained image information

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- Number: US 2017/0282916 A1
- Document ID: US20170282916A1
- Status: Published application
- Kind: A1
- Application number: 15/620,563
- Filed: 2017-06-12
- Published: 2017-10-05
- Earliest claimed: 2015-06-03
- Assignees: Ford Global Technologies, LLC
- Applicants: Ford Global Technologies, LLC
- Inventors: Jeffrey Thomas Remillard; John Shutko; Cynthia M Neubecker
- Web page: https://patentgrep.com/patent/US20170282916A1

## CPC

- B60W 30/14: {Adaptive} cruise control
- B60W 30/143: {Speed control (B60W30/16 takes precedence)}
- B60W 50/14: Means for informing the driver, warning the driver or prompting a driver intervention
- G01C 21/3415: {Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents}
- G01C 21/3602: {Input other than that of destination using image analysis, e.g. detection of road signs, lanes, buildings, real preceding vehicles using a camera}
- G01C 21/3697: {Output of additional, non-guidance related information, e.g. low fuel level (G01C21/3679 takes precedence)}
- B60Q 9/00: Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00 {, e.g. haptic signalling}
- B60W 2050/143: {Alarm means}
- B60W 2420/403: Image sensing, e.g. optical camera
- B60W 2554/00: Input parameters relating to objects
- B60W 2555/60: Traffic rules, e.g. speed limits or right of way
- B60W 2556/50: of positioning data, e.g. GPS [Global Positioning System] data
- B60W: CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- G01C: MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY (measuring liquid level G01F; radio navigation, determining distance or velocity by use of propagation effects, e.g. Doppler effects, propagation time, of radio waves, analogous arrangements using other waves G01S)
- B60Q: ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL

## Abstract

Various embodiments of the present disclosure provide systems and methods for provide monitoring a vehicle's surroundings, predicting when a navigation route will pass through a closed road, preemptively modifying the navigation route to avoid the closed road, identifying changes in speed limit, and identifying dangerous debris in the roadway. One embodiment of the camera-based vehicle control system includes a camera configured to obtain image information and a processor configured to: analyze the image information; if a reroute condition is satisfied based on the image information, implement an alternate navigation route; if a threat condition is satisfied based on the image information, cause an output device to output a threat alert; and if a speed condition is satisfied based on the image information, modify a vehicle speed setting.

## Claims

### Claim 1

A control system for a vehicle, comprising:
vehicle camera(s) that capture image(s);
processor(s) configured to:
parse the image(s) for road-blocking objects indicative of road closure;
query a traffic information server to determine an associated closure length; and
generate and display a navigational route based on the road-blocking objects indicative of road closure and the associated closure lengths;

### Claim 2 (depends on 1)

The control system of claim 1, wherein the vehicle camera(s) are directly mounted to the vehicle, and wherein the vehicle includes a motor configured to provide mechanical power to wheel(s) and batterie(s).

### Claim 3 (depends on 1)

The control system of claim 1, wherein the processor(s) are configured to: parse the images(s) for the road-blocking objects at least partially by comparing the image(s) to prestored images of a plurality of different road-blocking objects.

### Claim 4 (depends on 1)

The control system of claim 1, wherein the processor(s) are configured to: generate the navigational route based on parsed road-blocking objects and associated closure lengths such that the navigational route avoids closed roads for their associated closure lengths.

### Claim 5 (depends on 1)

The control system of claim 1, wherein the processor(s) are configured to begin parsing the image(s) for detour signs upon detecting a parsed road-blocking object.

### Claim 6 (depends on 1)

The control system of claim 1, wherein the processor(s) are configured to:
parse the image(s) for objects and road widths;
compare widths of the objects to the road widths; and
output threat alerts based on outcomes of the comparisons.

### Claim 7 (depends on 6)

The control system of claim 6, wherein the processor(s) are configured to output threat alerts by generating graphics on a display.

### Claim 8 (depends on 6)

The control system of claim 6, wherein the processor(s) are configured to modulate intensities of the output threat alerts based on determined identities of the parsed objects.

### Claim 9 (depends on 1)

The control system of claim 1, comprising a navigation module that enables user input of a desired navigational route, wherein the navigational route is a readjusted navigational route; and
wherein the processors(s) are configured to:
determine an absence of a desired navigational route from the navigation module;
generate and display the readjusted navigational route based on the parsed road closure signs and the parsed associated closure lengths even when a desired navigational route is absent from the navigation module.

### Claim 10

A control method, for a vehicle, comprising, via processor(s) that received captured image(s) from vehicle camera(s):
parsing the images for road-blocking objects indicative of road closure;
querying a traffic information server to determine an associated closure length; and
generating and displaying a navigational route based on parsed road-blocking objects and associated closure lengths;

### Claim 11 (depends on 10)

The method of claim 10, further comprising parsing the image(s) for the road-blocking objects by comparing the image(s) to prestored images of a plurality of different road-blocking objects;

### Claim 12 (depends on 10)

The method of claim 10, further comprising generating the navigational route based on parsed road-blocking objects and associated lengths such that the navigational route avoids closed roads for their associated closure lengths.

### Claim 13 (depends on 10)

The method of claim 10, further comprising: beginning to parse the image(s) for detour signs upon detecting a parsed road-blocking object.

### Claim 14 (depends on 10)

The method of claim 10, further comprising:
parsing the image(s) for objects and road widths;
comparing the widths of the objects to the road widths;
outputting threat alerts based on outcomes of the comparisons.

### Claim 15 (depends on 14)

The method of claim 14, further comprising outputting the threat alerts by generating graphics on a display.

### Claim 16 (depends on 14)

The method of claim 14, further comprising controlling intensities of the output threat alerts based on determined intensities of the parsed objects.

### Claim 17 (depends on 10)

The method of claim 10, wherein the navigational route is a readjusted navigational route, and the method further comprises:
determining an absence of a desired navigational route from a navigation module;
generating and displaying the readjusted navigational route based on the parsed road-blocking objects and the associated closure lengths even when a desired navigational route is absent from the navigation module.