Abstract: A system is provided for analyzing information collected by a plurality of wearable camera systems. In one implementation, the system may include a memory storing executable instructions and at least one processing device. The at least one processing device may be programmed to execute the instructions to receive information derived from image data captured by the wearable camera systems; analyze the derived information to identify a commonality related to the image data captured by at least two of the wearable camera systems; determine, based on the commonality, statistical data related to users of the at least two of the wearable camera systems; and select, based on the statistical data, at least one content item for at least one of the users of the wearable camera systems who share the commonality.

Abstract: A method including operations to obtain a planned driving action for accomplishing a navigational goal of a host vehicle on a roadway, identify a planned trajectory for the host vehicle, corresponding to the planned driving action, identify, from sensor data representative of an environment of the host vehicle, an occluded location of a potential object that is occluded from view of the host vehicle, identify a possible trajectory of the potential object, based on possible movement of the potential object from the location into the roadway, identify an intersection of the planned trajectory for the host vehicle with the possible trajectory for the potential object, determine a safety action of the host vehicle to respond to the possible movement of the potential object, and apply the safety action to change the planned driving action of the host vehicle.

Abstract: A wearable apparatus may automatically monitor consumption by a user of the wearable apparatus by analyzing images captured from an environment of the user. The wearable apparatus may include at least one image capture device configured to capture a plurality of images from an environment of the user of the wearable apparatus.

Abstract: A computing device including interface for receiving from a sensor device sensor data representative of an environment surrounding a host vehicle, and a processor configured to obtain a planned driving action for accomplishing a navigational goal of a host vehicle operating in a first lane of a roadway, identify, from the sensor data, a moving target vehicle located in a second lane of the roadway, identify, based on the target vehicle speed and direction, the target vehicle predicted trajectory indicating a cut-in movement of the target vehicle from the second lane to the first lane, identify an intersection of a planned trajectory for the host vehicle with the predicted trajectory for the target vehicle, and determine a safety action of the host vehicle to respond to the movement of the target vehicle; and cause the safety action to be performed in the host vehicle.

Abstract: A navigational system for a host vehicle may comprise at least one processing device. The processing device may be programmed to receive a first output and a second output associated with a host vehicle, wherein at least one of the outputs is received from a sensor onboard the host vehicle. The processing device may identify a target object in the first output and determine whether a characteristic of the target object triggers a navigational constraint by verifying the identification of the target object based on the first output; and, if the navigational constraint is not verified based on the first output, then verifying the identification of the target object based on a combination of the first output and the second output. In response to the verification, the processing device may cause at least one navigational change to the host vehicle.

Abstract: Systems and methods are provided for navigating a host vehicle. In some embodiments, the system may include at least one processing device programmed to: receive at least one image representative of an environment of the host vehicle; determine a navigational action of the host vehicle; analyze the at least one image to identify a target vehicle in the environment of the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the navigational action was taken; determine a maximum braking capability of the host vehicle, a maximum acceleration capability of the host vehicle, and a speed of the host vehicle; determine a stopping distance for the host vehicle; determine a speed of the target vehicle; and implement the navigational action if the determined stopping distance for the host vehicle is less than the next-state distance summed with a target vehicle travel distance.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify a target vehicle in the environment of the host vehicle; predict a resulting distance between the host and target vehicles if the planned action were taken; determine a host vehicle stopping distance based on a braking rate, maximum acceleration capability, and current speed of the host vehicle; determine a target vehicle stopping distance based on a braking rate and current speed of the target vehicle; and continue with the planned navigational action while the predicted distance is greater than a minimum safe longitudinal distance calculated based on the host vehicle stopping distance and the target vehicle stopping distance.

Abstract: A wearable apparatus is provided for identifying a person in an environment of a user of the wearable apparatus based on non-facial information. The wearable apparatus includes a wearable image sensor configured to capture a plurality of images from the environment of the user, and a processing device programmed to analyze a first image of the plurality of images to determine that a face appears in the first image. The processing device also analyzes a second image of the plurality of images to identify an item of non-facial information appearing in the second image that was captured within a time period including a time when the first image is captured. The processing device also determines identification information of a person associated with the face based on the item of non-facial information.

Abstract: A system may include a wearable camera configured to capture images and a microphone configured to capture sounds, and a processor programmed to receive the images captured by the camera and audio signals representative of sounds received by the microphone. The processor may also be programmed to determine a look direction for a user based upon detection of a representation of a body part of the user in at least one of the captured images and a pointing direction of the body part relative to an optical axis associated with the wearable camera. The processor may further be programmed to cause selective conditioning of an audio signal received by the microphone from a region associated with the look direction of the user and cause transmission of the conditioned audio signal to an interface device.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. The processing device may be configured to determine a planned navigational action; identify, a target vehicle in the environment of the host vehicle; predict a distance between the host vehicle and the target vehicle if the planned navigational action was taken; determine a current host vehicle stopping distance based on a braking capability, acceleration capability, and speed of the host vehicle; determine a current target vehicle braking distance based on a speed and braking capability of the target vehicle; and implement the planned navigational action when the predicted distance of the planned navigational action is greater than a minimum safe longitudinal distance calculated based on the current host vehicle stopping distance and the current target vehicle braking distance.

Abstract: An autonomous system includes a processing device programmed to receive, from an image capture device, an image of an environment of the host vehicle; detect an obstacle in the environment, based on an analysis of the image; monitor a driver input to at least one of a throttle control, a brake control, or a steering control associated with the host vehicle; determine whether the driver input results in the host vehicle navigating within a proximity buffer relative to the obstacle; allow the driver input to cause a corresponding change in one or more host vehicle motion control systems, if the processing device determines that the driver input would not result in the host vehicle navigating within the proximity buffer relative to the obstacle; and prevent the driver input to cause the change if the driver input results in the host vehicle navigating within the proximity buffer relative to the obstacle.

Abstract: A wearable apparatus and methods may analyze images. In one implementation, the wearable apparatus may comprise a wearable image sensor and at least one processor.

Abstract: A navigation system includes a processing device programmed to receive, from an image capture device, at least one image of an environment of the host vehicle; determine, based on at least one driving policy, a navigational action for accomplishing a navigational goal of the host vehicle; analyze the at least one image to identify a target vehicle; test the navigational action against at least one accident liability rule for determining potential accident liability for the host vehicle relative to the target vehicle; if the test indicates that potential accident liability exists for the host vehicle if the navigational action is taken, then cause the host vehicle not to implement the navigational action; and if the test indicates that no accident liability would result for the host vehicle if the navigational action is taken, then cause the host vehicle to implement the navigational action.

Abstract: Systems and methods are provided for detecting an object in front of a vehicle. In one implementation, an object detecting system includes an image capture device configured to acquire a plurality of images of an area, a data interface, and a processing device programmed to compare a first image to a second image to determine displacement vectors between pixels, to search for a region of coherent expansion that is a set of pixels in at least one of the first image and the second image, for which there exists a common focus of expansion and a common scale magnitude such that the set of pixels satisfy a relationship between pixel positions, displacement vectors, the common focus of expansion, and the common scale magnitude, and to identify presence of a substantially upright object based on the set of pixels.

Abstract: Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques.

Abstract: A wearable apparatus for providing information to a user of the wearable apparatus may include at least one image sensor configured to capture a plurality of images from an environment of the user of the wearable apparatus, at least one communication device, and at least one processing device. The processing device may be programmed to analyze at least one of the plurality of images to detect an object in the environment of the user of the wearable apparatus, determine a measurement of an estimated physical distance from the user to the object, and transmit, based on the measurement and using the at least one communication device, information related to the detected object.

Abstract: The present disclosure relates to systems and methods for host vehicle navigation. In one implementation, a navigation system for a host vehicle may include at least one processing device programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the images to identify a target vehicle in the environment of the host vehicle; cause a navigational change of the host vehicle to signal to the target vehicle an intent of the host vehicle to make a subsequent navigational maneuver; analyze the images to detect a change in a navigational state of the target vehicle; determine a navigational action for the host vehicle; and cause an adjustment of a navigational actuator of the host vehicle in response to the determined navigational action for the host vehicle.

Abstract: Various driver assistance systems mountable in a host vehicle and computerized methods for detecting a vertical deviation of a road surface. The driver assistance system includes a camera operatively connectible to a processor. Multiple consecutive image frames are captured from the camera including a first image of the road and a second image of the road. Based on the host vehicle motion, the second image is warped toward the first image to produce thereby a warped second image. Image points of the road in the first image and corresponding image points of the road in the warped second image are tracked. Optical flow is computed between the warped second image to the first image. The optical flow is compared with an optical flow based on a road surface model to produce a residual optical flow. The vertical deviation is computed from the residual optical flow.

Abstract: A navigation system includes a processor programmed to receive, from a sensor, an output related to a motion of the host vehicle. The output is generated at a first time that is later than a data acquisition time, when a measurement or data acquisition on which the output is based is acquired, and earlier than a second time at which the sensor output is received processor; generate, for a motion prediction time, a prediction of at least one aspect of host vehicle motion based, on the output and how the aspect of host vehicle motion changes over a time interval between the data acquisition time and the motion prediction time; determine a navigational action for the host vehicle; generate a navigational command for implementing at least a portion of the navigational action; and provide the navigational command to at least one actuation system of the host vehicle.