AUTOMATIC GENERATION OF DIMENSIONALLY REDUCED MAPS AND SPATIOTEMPORAL LOCALIZATION FOR NAVIGATION OF A VEHICLE
First Claim
1. A method comprising:
- generating, using one or more sensors of a vehicle located at a spatiotemporal location within an environment, M-dimensional sensor data representing the environment, wherein M is greater than 2;
generating, using the one or more sensors, odometry data representing an operational state of the vehicle, the odometry data associated with the spatiotemporal location; and
generating, using one or more processors of the vehicle, an N-dimensional map of the environment based on the M-dimensional sensor data, wherein N is less than M, the generating of the N-dimensional map comprising;
extracting, using the one or more processors, an M-dimensional environmental feature based on the M-dimensional sensor data;
associating, using the one or more processors, the M-dimensional environmental feature with the odometry data;
generating, using the one or more processors, an N-dimensional version of the M-dimensional environmental feature; and
embedding, using the one or more processors, the N-dimensional version of the M-dimensional environmental feature within the N-dimensional map.
2 Assignments
0 Petitions
Accused Products
Abstract
Among other things, we describe techniques for generation of dimensionally reduced maps and localization in an environment for navigation of vehicles. The techniques include generating, using one or more sensors of a vehicle located at a spatiotemporal location within an environment, M-dimensional sensor data representing the environment, wherein M is greater than 2. Odometry data is generated representing an operational state of the vehicle. The odometry data is associated with the spatiotemporal location. An N-dimensional map is generated of the environment from the M-dimensional sensor data, wherein N is less than M. The generating of the N-dimensional map comprises extracting an M-dimensional environmental feature of the spatiotemporal location from the M-dimensional sensor data. The M-dimensional environmental feature is associated with the odometry data. An N-dimensional version of the M-dimensional environmental feature is generated. The N-dimensional version of the M-dimensional environmental feature is embedded within the N-dimensional map.
20 Citations
20 Claims
-
1. A method comprising:
-
generating, using one or more sensors of a vehicle located at a spatiotemporal location within an environment, M-dimensional sensor data representing the environment, wherein M is greater than 2; generating, using the one or more sensors, odometry data representing an operational state of the vehicle, the odometry data associated with the spatiotemporal location; and generating, using one or more processors of the vehicle, an N-dimensional map of the environment based on the M-dimensional sensor data, wherein N is less than M, the generating of the N-dimensional map comprising; extracting, using the one or more processors, an M-dimensional environmental feature based on the M-dimensional sensor data; associating, using the one or more processors, the M-dimensional environmental feature with the odometry data; generating, using the one or more processors, an N-dimensional version of the M-dimensional environmental feature; and embedding, using the one or more processors, the N-dimensional version of the M-dimensional environmental feature within the N-dimensional map. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
-
-
19. An autonomous vehicle comprising:
-
one or more computer processors; and one or more non-transitory storage media storing instructions which, when executed by the one or more computer processors, cause the one or more computer processors to; generate, using one or more sensors of the vehicle, M-dimensional sensor data representing an environment, wherein M is greater than 2, the vehicle located at a spatiotemporal location within the environment; generate, using the one or more sensors, odometry data representing an operational state of the vehicle, the odometry data associated with the spatiotemporal location; and generate an N-dimensional map of the environment based on the M-dimensional sensor data, wherein N is less than M, the generating of the N-dimensional map comprising; extracting an M-dimensional environmental feature based on the M- dimensional sensor data; associating the M-dimensional environmental feature with the odometry data; generating an N-dimensional version of the M-dimensional environmental feature; and embedding the N-dimensional version of the M-dimensional environmental feature within the N-dimensional map.
-
-
20. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause the one or more computing devices to:
-
generate, using one or more sensors of the vehicle, M-dimensional sensor data representing an environment, wherein M is greater than 2, the vehicle located at a spatiotemporal location within the environment; generate, using the one or more sensors, odometry data representing an operational state of the vehicle, the odometry data associated with the spatiotemporal location; and generate an N-dimensional map of the environment based on the M-dimensional sensor data, wherein N is less than M, the generating of the N-dimensional map comprising; extracting an M-dimensional environmental feature based on the M-dimensional sensor data; associating the M-dimensional environmental feature with the odometry data; generating an N-dimensional version of the M-dimensional environmental feature; and embedding the N-dimensional version of the M-dimensional environmental feature within the N-dimensional map.
-
Specification