Object detection and classification for autonomous vehicles
First Claim
1. A method comprising:
- determining a current location of a vehicle;
accessing map data based on the current location of the vehicle, the map data including information about a roadway including a tagged area of the roadway, wherein the tagged area is associated with an object type;
receiving information about the vehicle'"'"'s surroundings generated by an object detection device;
detecting a moving object and a geographic location of the moving object based on the received information; and
when the geographic location of the moving object corresponds to the tagged area, identifying, by the processor, the moving object as a pedestrian.
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Accused Products
Abstract
Aspects of the disclosure relate generally to safe and effective use of autonomous vehicles. More specifically, objects detected in a vehicle'"'"'s surroundings may be detected by the vehicle'"'"'s various sensors and identified based on their relative location in a roadgraph. The roadgraph may include a graph network of information such as roads, lanes, intersections, and the connections between these features. The roadgraph may also include the boundaries of areas, including for example, crosswalks or bicycle lanes. In one example, an object detected in a location corresponding to a crosswalk area of the roadgraph may be identified as a person. In another example, an object detected in a location corresponding to a bicycle area of the roadgraph and identified as a bicycle. By identifying the type of object in this way, an autonomous vehicle may be better prepared to react to or simply avoid the object.
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Citations
22 Claims
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1. A method comprising:
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determining a current location of a vehicle; accessing map data based on the current location of the vehicle, the map data including information about a roadway including a tagged area of the roadway, wherein the tagged area is associated with an object type; receiving information about the vehicle'"'"'s surroundings generated by an object detection device; detecting a moving object and a geographic location of the moving object based on the received information; and when the geographic location of the moving object corresponds to the tagged area, identifying, by the processor, the moving object as a pedestrian. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A device comprising:
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memory storing map data including information about a roadway, the map data including a tagged area of the roadway, wherein the tagged area is associated with an object type; a processor coupled to the memory, the processor being operable to; determine current location of a vehicle; receive information about the vehicle'"'"'s surroundings generated by an object detection device; detect a moving object and a geographic location of the moving object based on the received information; and when the geographic location of the moving object corresponds to the tagged area, identify the moving object as one of a pedestrian or a bicyclist based on the object type. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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16. A non-transitory, tangible computer-readable storage medium on which computer readable instructions of a program are stored, the instructions, when executed by a processor, cause the processor to perform a method, the method comprising:
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determining a current location of a vehicle; accessing map data based on the current location of the vehicle, the map data including information about a roadway including a tagged area of the roadway, wherein the tagged area is associated with an object type; receiving information about the vehicle'"'"'s surroundings from an object detection device; detecting a moving object and a geographic location of the moving object based on the received information; and when the geographic location of the moving object corresponds to the tagged area, identifying the moving object as one of a pedestrian or a bicyclist, based on the object type associated with the tagged area. - View Dependent Claims (17, 18, 19, 20, 21, 22)
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Specification