초록 ▼

Methods and systems for construction zone object detection are described. A computing device may be configured to receive, from a LIDAR, a 3D point cloud of a road on which a vehicle is travelling. The 3D point cloud may comprise points corresponding to light reflected from objects on the road. Also

Methods and systems for construction zone object detection are described. A computing device may be configured to receive, from a LIDAR, a 3D point cloud of a road on which a vehicle is travelling. The 3D point cloud may comprise points corresponding to light reflected from objects on the road. Also, the computing device may be configured to determine sets of points in the 3D point cloud representing an area within a threshold distance from a surface of the road. Further, the computing device may be configured to identify construction zone objects in the sets of points. Further, the computing device may be configured to determine a likelihood of existence of a construction zone, based on the identification. Based on the likelihood, the computing device may be configured to modify a control strategy of the vehicle; and control the vehicle based on the modified control strategy.

대표청구항 ▼

1. A method, comprising: selecting, by a computing device of a vehicle, a portion of a three-dimensional (3D) point cloud representing an area within a predetermined threshold distance from a surface of a road of travel of the vehicle;identifying one or more construction zone objects in the selected

1. A method, comprising: selecting, by a computing device of a vehicle, a portion of a three-dimensional (3D) point cloud representing an area within a predetermined threshold distance from a surface of a road of travel of the vehicle;identifying one or more construction zone objects in the selected portion;determining, using the computing device, a likelihood of existence of a construction zone based on the identified one or more construction zone objects;in response to the likelihood exceeding a threshold likelihood, determining a severity of road changes based on a number and locations of the one or more construction zone objects; andcontrolling, using the computing device, the vehicle based on the likelihood of existence of the construction zone and the severity of road changes. 2. The method of claim 1, wherein the vehicle is in an autonomous operation mode. 3. The method of claim 1, wherein determining the likelihood of existence of the construction zone comprises determining, based on the number and locations of the one or more construction zone objects, a given likelihood that the one or more construction zone objects define a lane boundary. 4. The method of claim 1, wherein the one or more construction zone objects are construction cones or construction barrels. 5. The method of claim 1, wherein determining the likelihood of the existence of the construction zone comprises determining that the one or more construction zone objects are within a predetermined distance of each other. 6. The method of claim 1, wherein identifying the one or more construction zone objects in the selected portion comprises determining, for each identified construction zone object, a respective likelihood of the identification. 7. The method of claim 6, wherein determining the respective likelihood of the identification comprises: identifying a shape in the selected portion; andmatching the shape to one or more shapes of standard construction zone objects. 8. A non-transitory computer readable medium having stored thereon instructions that, when executed by a computing device of a vehicle, cause the computing device to perform functions comprising: selecting a portion of a three-dimensional (3D) point cloud representing an area within a predetermined threshold distance from a surface of a road of travel of the vehicle;identifying one or more construction zone objects in the selected portion;determining a likelihood of existence of a construction zone based on the identified one or more construction zone objects;in response to the likelihood exceeding a threshold likelihood, determining a severity of road changes based on a number and locations of the one or more construction zone objects; andcontrolling the vehicle based on the likelihood of existence of the construction zone and the severity of road changes. 9. The non-transitory computer readable medium of claim 8, wherein the one or more construction zone objects are construction cones or construction barrels. 10. The non-transitory computer readable medium of claim 8, wherein the function of determining the likelihood of the existence of the construction zone comprises determining that the one or more construction zone objects are within a predetermined distance of each other. 11. The non-transitory computer readable medium of claim 8, wherein the function of determining the likelihood of the existence of the construction zone comprises determining, based on the number and locations of the one or more construction zone objects, a given likelihood that the one or more construction zone objects define a lane boundary. 12. The non-transitory computer readable medium of claim 8, wherein the function of identifying one or more construction zone objects in the selected portion comprises: identifying a shape in the selected portion; andmatching the shape to one or more shapes of standard construction zone objects. 13. A control system for a vehicle, comprising: a light detection and ranging (LIDAR) device configured to capture a three-dimensional (3D) point cloud representing an area within a predetermined threshold distance from a surface of a road of travel of the vehicle;a computing device in communication with the LIDAR device; anddata storage comprising instructions that, when executed by the computing device, cause the control system to perform functions comprising: selecting a portion of the three-dimensional (3D) point cloud;identifying one or more construction zone objects in the selected portion;determining a likelihood of existence of a construction zone based on the identified one or more construction zone objects;in response to the likelihood exceeding a threshold likelihood, determining a severity of road changes based on a number and locations of the one or more construction zone objects; andcontrolling the vehicle based on the likelihood of existence of the construction zone and the severity of road changes. 14. The control system of claim 13, wherein the one or more construction zone objects are construction cones or construction barrels. 15. The control system of claim 13, wherein the function of determining the likelihood of existence of the construction zone comprises determining, based on the number and locations of the one or more construction zone objects, a given likelihood that the one or more construction zone objects define a lane boundary. 16. The control system of claim 15, wherein computing device is configured to have access to map information indicative of location of lane boundaries on the road, wherein determining the severity of road changes is based on a difference between location of the lane boundary defined by the one or more construction zone objects and a given lane boundary indicated by the map information. 17. The control system of claim 13, wherein the function of identifying one or more construction zone objects in the selected portion comprises: identifying a shape in the selected portion; and matching the shape to one or more shapes of standard construction zone objects.