SYSTEM FOR THE NAVIGATION OF OVERSIZED VEHICLES

• US 20130103305A1
• Filed: 10/19/2011
• Published: 04/25/2013
• Est. Priority Date: 10/19/2011
• Status: Abandoned Application

• Current Assignee: Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: Becker, Jan, Schwindt, Oliver
• Application Number:
  US13/276,425
• Publication Number:
  US 20130103305A1
• Time in Patent Office: Days
• US Class Current: 701/411
• CPC Class Codes: G01C 21/3453 Special cost functions, i.e. other than distance or default speed limit of road segments
• CPC Class Codes: 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
• CPC Class Codes: G06V 20/58 Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
• CPC Class Codes: G08G 1/165 for passive traffic, e.g. including static obstacles, trees

Abstract

A system for identifying a route to be traveled by an oversized vehicle. The system includes a measurement vehicle having at least one sensor attached thereto, wherein the measurement vehicle travels one or more potential routes on a roadway, and a controller in communication with the at least one sensor. The controller is configured to collect data from the at least one sensor, the data providing information regarding at least one of a location, height, shape, and classification of each of a plurality of objects on or adjacent to the roadway and generate a map of the one or more potential routes traveled by the measurement vehicle.

Claims

1. A system for identifying a route to be traveled by an oversized vehicle, comprising:

a measurement vehicle having at least one sensor attached thereto, wherein the measurement vehicle travels one or more potential routes on a roadway;

a controller in communication with the at least one sensor, the controller configured to

collect data from the at least one sensor, the data providing information regarding at least one of a location, height, shape, and classification of each of a plurality of objects on or adjacent to the roadway; and

generate a map of the one or more potential routes traveled by the measurement vehicle.

2. The system of claim 1, wherein the measurement vehicle travels a plurality of potential routes and wherein the controller is further configured to determine a route for the oversized vehicle based on at least one of travel distance, cost of travel, presence of a fixed obstacle, and a cost of removing an obstacle along each of the plurality of potential routes.

3. The system of claim 1, wherein the controller is further configured to classify each of a plurality of objects on or adjacent to the roadway to determine whether each object is fixed, removable, can be overrun, or can be navigated past.

4. The system of claim 1, wherein the at least one sensor comprises a radar system, a lidar system, a laser scanner system, and an image collection and analysis system.

5. The system of claim 1, wherein the at least one sensor comprises an image collection and analysis system, where the image collection and analysis system provides a classification for at least one object on or adjacent to the roadway.

6. The system of claim 1, wherein the measurement vehicle further has a GPS unit attached thereto.

7. The system of claim 1, wherein the measurement vehicle travels a plurality of potential routes and wherein the controller is further configured to generate a new potential route by combining at least a portion of at least two of the plurality of potential routes.

8. A method of identifying a route to be traveled by an oversized vehicle, comprising:

providing a measurement vehicle having at least one sensor attached thereto;

using the measurement vehicle, traveling a plurality of potential routes on a roadway;

using the sensor, collecting data regarding at least one of a location, height, shape, and classification of a plurality of objects on or adjacent to the roadway along the plurality of potential routes;

generating a map of the plurality of potential routes; and

identifying on the map at least one of a location, height, shape, and classification for each of the plurality of objects on or adjacent to the roadway along the plurality of potential routes.

9. The method of claim 8, further comprising:

for each of the plurality of potential routes, determining a travel distance, a cost of travel, and a presence of a fixed obstacle on the potential route; and

determining an optimal route for transporting the oversized vehicle based on at least one of the travel distance, the cost of travel, and the presence of a fixed obstacle.

10. The method of claim 8, wherein the classification for each of the plurality of objects on or adjacent to the roadway includes each object is fixed, removable, can be overrun, or can be navigated past.

11. The method of claim 8, wherein the at least one sensor comprises a radar system, a lidar system, a laser scanner system, and an image collection and analysis system.

12. The method of claim 8, wherein the at least one sensor comprises an image collection and analysis system, where the image collection and analysis system provides a classification for at least one object on or adjacent to the roadway.

13. The method of claim 8, wherein the measurement vehicle further has a GPS unit attached thereto.

14. The method of claim 8, further comprising determining an optimal route for the oversized vehicle based on a cost of removing an obstacle.

15. The method of claim 8, further comprising generating a new potential route by combining at least a portion of at least two of the plurality of potential routes.