Abstract: A method for providing remote visibility into a simulation environment, comprising: establishing over a secure public network a connection between a first videoconferencing client running on a first computer and a second videoconferencing client running on a second computer; receiving at the first computer a first live camera feed encompassing a first portion of the simulation environment over a secure private network, the second computer being located outside of the secure private network; displaying within a viewer the first live camera feed and a simulation control interface, a representation of a second portion of the simulation environment and/or a second live camera feed encompassing a third portion of the simulation environment; and granting the second videoconferencing client visual access to the viewer application through the first videoconferencing client.

Abstract: In one embodiment, a method includes receiving sensor data of an environment of the vehicle generated by one or more sensors of the vehicle, the sensors comprising a camera, identifying, based on the sensor data, one or more objects in a field of view of the camera and one or more object types that correspond to the one or more objects, determining one or more target histograms that correspond to the object types, generating a processed image based on an image captured by the camera, wherein the processed image has a histogram based on the target histograms, and using the processed image to determine state information associated with the objects. The processed image may be generated by processing the image captured by the camera using a histogram matching algorithm to generate the histogram of the processed image based on the target histograms.

Abstract: A method includes generating, while a vehicle is operating in an autonomous-driving mode, a planned trajectory associated with a computing system of the vehicle based on first sensor data capturing an environment of the vehicle. The method further includes, while the vehicle is operating according to the planned trajectory, receiving a disengagement instruction associated that causes the vehicle to disengage from operating in the autonomous-driving mode and switch to operating in a disengagement mode. Subsequent to the vehicle operating in the disengagement mode, the method further includes capturing second sensor data and generating a simulation of the environment. The simulation is based on sensor data associated with the environment and the planned trajectory. Additionally, subsequent to the vehicle operating in the disengagement mode, the method concludes with evaluating a performance of an autonomy system based on the simulation, and providing feedback based on the evaluation.

Abstract: This technology relates to requesting missing data associated with a geographic location. The system may comprise a memory for storing lists of information elements each associated with one or more physical types of geographic locations and a processor. The processor may be programmed to receive a current location of a client device and determine the current location is proximate to a first geographic location. The processor may determine a physical location type of the first geographic location and retrieve a list of information elements associated with the physical location type. The list of items may be compared to a set of information elements associated with the first geographic location and a determination of a missing information element may be made. A notification may be generated based on the missing information element and the determination that the client device is proximate to the first geographic location.

Abstract: Examples disclosed herein may involve a computing system that is operable to (i) identify, within a given period of operation of a vehicle having an associated sensor system for capturing sensor data, one or more times when the vehicle was driving in a lane having substantially-straight lane geometry, (ii) for each identified time, determine a respective measure of a lateral offset between the vehicle's associated sensor system and a lateral reference point of the vehicle, and (iii) based on the respective measure of the lateral offset that is determined for each of the one or more identified times, determine the lateral offset between the vehicle's associated sensor system and the lateral reference point of the vehicle.

Abstract: In one embodiment, a computing system of a vehicle may capture, using one or more sensors of the vehicle, sensor data associated with a first vehicle of interest. The computing system may identify one or more features associated with the first vehicle of interest based on the sensor data. The computing system may determine a driving behavior model associated with the first vehicle of interest based on the one or more features of the first vehicle of interest. The computing system may predict a driving behavior of the first vehicle of interest based on at least the determined driving behavior model. The computing system may determine a vehicle operation for the vehicle based on at least the predicted driving behavior of the first vehicle of interest.

Abstract: In one embodiment, a method includes receiving sensor data of an environment of the vehicle generated by one or more sensors of the vehicle, the sensors comprising a camera, identifying, based on the sensor data, one or more objects in a field of view of the camera and one or more object types that correspond to the one or more objects, determining one or more target histograms that correspond to the object types, generating a processed image based on an image captured by the camera, wherein the processed image has a histogram based on the target histograms, and using the processed image to determine state information associated with the objects. The processed image may be generated by processing the image captured by the camera using a histogram matching algorithm to generate the histogram of the processed image based on the target histograms.

Abstract: In one embodiment, a computing system of a vehicle may capture, using one or more sensors of the vehicle, sensor data associated with a first vehicle of interest. The computing system may identify one or more features associated with the first vehicle of interest based on the sensor data. The computing system may determine a driving behavior model associated with the first vehicle of interest based on the one or more features of the first vehicle of interest. The computing system may predict a driving behavior of the first vehicle of interest based on at least the determined driving behavior model. The computing system may determine a vehicle operation for the vehicle based on at least the predicted driving behavior of the first vehicle of interest.

Abstract: The present disclosure includes embodiments of systems, methods, and computer readable media that enable a dynamic transportation system to detect when material has been left in a vehicle by a requestor. In some embodiments, the system detects the completion of the transportation request, analyzes data from a plurality of vehicle sensors, from a computing device associated with the vehicle, and from a computing device associated with the requestor, and then determines, based on the data analysis, that material has been left in the vehicle. The system then performs an action for handling the material based on one or more attributes of the material.

Abstract: The present disclosure includes embodiments of systems, methods, and computer readable media that enable a dynamic transportation system to detect when material has been left in a vehicle by a requestor. In some embodiments, the system detects the completion of the transportation request, analyzes data from a plurality of vehicle sensors, from a computing device associated with the vehicle, and from a computing device associated with the requestor, and then determines, based on the data analysis, that material has been left in the vehicle. The system then performs an action for handling the material based on one or more attributes of the material.

Abstract: The present invention relates to annotating images. In an embodiment, the present invention enables users to create annotations corresponding to three-dimensional objects while viewing two-dimensional images. In one embodiment, this is achieved by projecting a selecting object onto a three-dimensional model created from a plurality of two-dimensional images. The selecting object is input by a user while viewing a first image corresponding to a portion of the three-dimensional model. A location corresponding to the projection on the three-dimensional model is determined, and content entered by the user while viewing the first image is associated with the location. The content is stored together with the location information to form an annotation. The annotation can be retrieved and displayed together with other images corresponding to the location.

Abstract: The present disclosure includes embodiments of systems, methods, and computer readable media that enable a dynamic transportation system to detect when material has been left in a vehicle by a requestor. In some embodiments, the system detects the completion of the transportation request, analyzes data from a plurality of vehicle sensors, from a computing device associated with the vehicle, and from a computing device associated with the requestor, and then determines, based on the data analysis, that material has been left in the vehicle. The system then performs an action for handling the material based on one or more attributes of the material.

Abstract: The present disclosure includes embodiments of systems, methods, and computer readable media that enable a dynamic transportation system to detect when material has been left in a vehicle by a requestor. In some embodiments, the system detects the completion of the transportation request, analyzes data from a plurality of vehicle sensors, from a computing device associated with the vehicle, and from a computing device associated with the requestor, and then determines, based on the data analysis, that material has been left in the vehicle. The system then performs an action for handling the material based on one or more attributes of the material.

Abstract: This technology relates to requesting missing data associated with a geographic location. The system may comprise a memory for storing lists of information elements each associated with one or more physical types of geographic locations and a processor. The processor may be programmed to receive a current location of a client device and determine the current location is proximate to a first geographic location. The processor may determine a physical location type of the first geographic location and retrieve a list of information elements associated with the physical location type. The list of items may be compared to a set of information elements associated with the first geographic location and a determination of a missing information element may be made. A notification may be generated based on the missing information element and the determination that the client device is proximate to the first geographic location.

Abstract: The technology uses image content to facilitate navigation in panoramic image data. Aspects include providing a first image including a plurality of avatars, in which each avatar corresponds to an object within the first image, and determining an orientation of at least one of the plurality of avatars to a point of interest within the first image. A viewport is determined for a first avatar in accordance with the orientation thereof relative to the point of interest, which is included within the first avatar's viewport. In response to received user input, a second image is selected that includes at least a second avatar and the point of interest from the first image. A viewport of the second avatar in the second image is determined and the second image is oriented to align the second avatar's viewpoint with the point of interest to provide navigation between the first and second images.

Abstract: The present disclosure includes embodiments of systems, methods, and computer readable media that enable a dynamic transportation system to detect when material has been left in a vehicle by a requestor. In some embodiments, the system detects the completion of the transportation request, analyzes data from a plurality of vehicle sensors, from a computing device associated with the vehicle, and from a computing device associated with the requestor, and then determines, based on the data analysis, that material has been left in the vehicle. The system then performs an action for handling the material based on one or more attributes of the material.

Abstract: Methods, systems, and apparatus including computer program products for using extracted image text are provided. In one implementation, a computer-implemented method is provided. The method includes receiving an input of one or more image search terms and identifying keywords from the received one or more image search terms. The method also includes searching a collection of keywords including keywords extracted from image text, retrieving an image associated with extracted image text corresponding to one or more of the image search terms, and presenting the image.

Abstract: Methods, systems, and apparatus including computer program products for using extracted image text are provided. In one implementation, a computer-implemented method is provided. The method includes receiving an input of one or more image search terms and identifying keywords from the received one or more image search terms. The method also includes searching a collection of keywords including keywords extracted from image text, retrieving an image associated with extracted image text corresponding to one or more of the image search terms, and presenting the image.