Abstract: The present disclosure is directed to searching an image database. A system may include at least one processor comprising circuitry and a memory, wherein the memory includes instructions that, when executed by the circuitry cause the at least one processor to: receive a first user input including one or more scenario descriptors, identify in a database an initial plurality of images based on the first user input and display the initial plurality of images to a user. The processor may be further configured to receive a second user input wherein the second user input identifies at least one of the initial plurality of images. The at least one processor may identify a refined plurality of images in the database based on the one or more scenario descriptors in combination with the second user input and display the refined plurality of images to the user.

Abstract: The disclosed embodiments include a system for identifying objects in an environment of a host vehicle, the system comprising: at least one processor programmed to: receive from a camera onboard the host vehicle a captured image representative of the environment of the host vehicle; identify an image segment within the captured image that includes a representation of an object of interest; input the image segment into a neural network trained to emulate operation of a Contrastive Language-Image Pre-Training (CLIP) model; and receive from the neural network an identifier associated with the object of interest.

Abstract: A system for mapping road segment free spaces for use in autonomous vehicle navigation. The system includes at least one processor programmed to: receive from a first vehicle one or more location identifiers associated with a lateral region of free space adjacent to a road segment; update an autonomous vehicle road navigation model for the road segment to include a mapped representation of the lateral region of free space based on the received one or more location identifiers; and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

Abstract: The present disclosure is directed to searching an image database. A system may include at least one processor comprising circuitry and a memory, wherein the memory includes instructions that, when executed by the circuitry cause the at least one processor to: receive a first user input including one or more scenario descriptors, identify in a database an initial plurality of images based on the first user input and display the initial plurality of images to a user. The processor may be further configured to receive a second user input wherein the second user input identifies at least one of the initial plurality of images. The at least one processor may identify a refined plurality of images in the database based on the one or more scenario descriptors in combination with the second user input and display the refined plurality of images to the user.

Abstract: Systems and methods for navigating a host vehicle are disclosed. In one implementation at least one processor is programmed to receive two or more images captured by a camera of the host vehicle from an environment of the host vehicle; analyze the two or more images to identify a representation of at least a portion of a first object and a representation of at least a portion of a second object; determine a first region of the two or more images associated with the first object and a type of the first object; and determine a second region of the two or more images associated with the second object and type of the second object, wherein the type of the first object is different from the type of the second object.

Abstract: Systems and methods for navigating a host vehicle are disclosed. In one implementation at least one processor is programmed to receive two or more images captured by a camera of the host vehicle from an environment of the host vehicle; analyze the two or more images to identify a representation of at least a portion of a first object and a representation of at least a portion of a second object; determine a first region of the two or more images associated with the first object and a type of the first object; and determine a second region of the two or more images associated with the second object and type of the second object, wherein the type of the first object is different from the type of the second object.

Abstract: A system for mapping road segment free spaces for use in autonomous vehicle navigation. The system includes at least one processor programmed to: receive from a first vehicle one or more location identifiers associated with a lateral region of free space adjacent to a road segment; update an autonomous vehicle road navigation model for the road segment to include a mapped representation of the lateral region of free space based on the received one or more location identifiers; and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

Abstract: A method and apparatus for speech analysis, comprising detecting an at least one temporal characteristic of an at least one speech of an at least one speaker, and deducing an at least one quantitative score from the at least one temporal characteristic, where the at least one quantitative score indicates an at least one extent of an at least one behavioral aspect of the at least one speaker.

Abstract: A method and apparatus for speech analysis, comprising detecting an at least one temporal characteristic of an at least one speech of an at least one speaker, and deducing an at least one quantitative score from the at least one temporal characteristic, where the at least one quantitative score indicates an at least one extent of an at least one behavioral aspect of the at least one speaker.