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 following distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a host vehicle braking distance based on a braking capability, acceleration capability, and speed of the host vehicle; determine a target vehicle braking distance, based on a speed and maximum braking capability of the target vehicle; and implement the planned navigational action when the predicted following distance is greater than a minimum safe longitudinal distance based on the determined host vehicle braking distance and the determined target vehicle braking 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, from the sensing data, a target vehicle in the environment of the host vehicle; predict a distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a host vehicle braking distance based on a braking capability, acceleration capability, and speed of the host vehicle; determine a 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 safe longitudinal distance being calculated based on the host vehicle and target vehicle braking distances.

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 the host vehicle and identify a representation of a target object in the first output. The processing device may 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 at least one 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 navigate a vehicle by determining a free space region in which the vehicle can travel. In one implementation, a system may include at least one processor programmed to receive from an image capture device, a plurality of images associated with the environment of a vehicle, analyze at least one of the plurality of images to identify a first free space boundary on a driver side of the vehicle and extending forward of the vehicle, a second free space boundary on a passenger side of the vehicle and extending forward of the vehicle, and a forward free space boundary forward of the vehicle and extending between the first free space boundary and the second free space boundary. The first free space boundary, the second free space boundary, and the forward free space boundary may define a free space region forward of the vehicle.

Abstract: An autonomous system may selectively displace human driver control of a host vehicle. The system may receive an image representative of an environment of the host vehicle and detect an obstacle in the environment of the host vehicle based on analysis of the image. The system may monitor a driver input to a throttle, brake, and/or steering control associated with the host vehicle. The system may determine whether the driver input would result in the host vehicle navigating within a proximity buffer relative to the obstacle. If the driver input would not result in the host vehicle navigating within the proximity buffer, the system may allow the driver input to cause a corresponding change in one or more host vehicle motion control systems. If the driver input would result in the host vehicle navigating within the proximity buffer, the system may prevent the driver input from causing the corresponding change.

Abstract: A hearing aid system for individual identification of a hearing aid system may include a wearable camera, a microphone, and at least one processor. The processor may be programmed to receive a plurality of images captured by the wearable camera; receive audio signals representative of sounds captured by the microphone; and identify a first audio signal, from among the received audio signals, representative of a voice of a first individual. The processor may transcribe and store, in a memory, text corresponding to speech associated with the voice of the first individual and determine whether the first individual is a recognized individual. If the first individual is a recognized individual, the processor may associate an identifier of the first recognized individual with the stored text corresponding to the speech associated with the voice of the first individual.

Abstract: System and methods for processing audio signals are disclosed. In one implementation, a system may comprise a wearable camera configured to capture images from an environment of a user; a microphone; and a processor. The processor may be configured to receive an audio signal representative of sounds captured by the microphone during a time period; and receive the images captured by the wearable camera. The processor may process the audio signal in a first mode based on audio data accumulated in a buffer prior to the time period; detect a change in the active speaker from the first individual to a second individual; and cease processing in the first mode and process the audio signal in a second mode that differs from the first mode.

Abstract: A navigation system for a host vehicle may include a processing device including circuitry and a memory storing instructions that when executed by the circuitry cause the at least one processing device to receive images acquired by a camera representative of an environment of the host vehicle, and analyze the images to identify a double merge scenario including a first flow of traffic and a second flows of traffic in a same direction that merge to form a merged flow of traffic in a merged lane. The instructions that when executed by the circuitry may further cause the processing device to cause a navigational change in the host vehicle based on a trajectory of a first target vehicle in the first flow of traffic and a trajectory of a second target vehicle in the second flow of traffic.

Abstract: A system for generating processed audio signals may include an earphone comprising a microphone configured to capture sounds from an environment of the earphone, a first communication component, and a first processor; and an earphone case comprising an earphone compartment configured to receive the earphone, a second communication component, and a second processor. The first processor may be programmed to receive a captured audio signal representative of the sounds captured by the microphone; and transmit the captured audio signal via the first communication component. The second processor may be programmed to receive the captured audio signal via the second communication component; generate a processed audio signal based on analysis of the captured audio signal; and transmit the processed audio signal via the second communication component to the first communication component.

Abstract: A system for selectively amplifying audio signals may include a microphone configured to capture sounds from an environment of a user. The system may also include a processor programmed to: receive audio signals representative of the sounds captured by the microphone; cause selective conditioning of at least one audio signal received by the microphone from a region associated with the recognized individual; and cause transmission of the at least one conditioned audio signal to a hearing interface device configured to provide sound to an ear of the user.

Abstract: Systems and methods of processing crowdsourced navigation information for use in autonomous vehicle navigation are disclosed. A method may include processing, by a mapping server, crowdsourced navigation information from a plurality of vehicles obtained by sensors coupled to the plurality of vehicles, wherein the navigation information describes road lanes of a road segment; collecting data about landmarks identified proximate to the road segment, the landmarking including a traffic sign; generating, by the mapping server, an autonomous vehicle map for the road segment, wherein the autonomous vehicle map includes a spline corresponding to a lane in the road segment and the landmarks identified proximate to the road segment; and distributing, by the mapping server, the autonomous vehicle map to an autonomous vehicle for use in autonomous navigation over the road segment.

Abstract: A method for adjusting an audio transmission when a user of the system is being spoken to by another person includes receiving audio signals representative of sounds from an environment of the user captured by at least one microphone; determining at least from the received audio signals that the another person is speaking to user; and subject to the user being spoken to by the another person, adjusting the audio transmission to the user and signaling to the user that the user is being spoken to.

Abstract: System and methods for processing audio signals are disclosed. In one implementation, a system may comprise a wearable camera configured to capture images from an environment of a user; a microphone configured to capture sounds from the environment of the user; and a processor. The processor may be configured to receive at least one image of the plurality of images, the at least one image comprising a plurality of image portions associated with corresponding image portion timestamps; receive at least one audio signal representative of the sounds captured by the at least one microphone; identify an audio timestamp associated with a portion of the audio signal; identify an image portion from among the plurality of image portions, the image portion having an image portion timestamp associated with the audio timestamp; and analyze the image portion to identify a voice originating from an object represented in the image.

Abstract: A hearing aid and related systems and methods. In one implementation, a hearing aid system may comprise a wearable camera configured to capture images from an environment of a user, a microphone configured to capture sounds from the environment of the user, and a processor. The processor may be programmed to receive images captured by the camera; receive audio signals representative of sounds captured by the microphone; operate in a first mode to cause a first selective conditioning of a first audio signal; determine, based on analysis of at least one of the images or the audio signals, to switch to a second mode to cause a second selective conditioning of the first audio signal; and cause transmission of the first audio signal selectively conditioned in the second mode to a hearing interface device configured to provide sound to an ear of the user.

Abstract: System and methods for processing audio signals are disclosed. In one implementation, a system may include a wearable device. The wearable device may include a microphone having an audio sensor configured to capture the audio signals from an environment of the user; and a processor. The processor may be programmed to receive the audio signals captured by the microphone; analyze the audio signals to generate a transcription; generate a summary of the transcription; cause the summary to be displayed to the user; receive a confirmation input from the user indicating that the displayed summary is correct; and cause the displayed summary to be stored.

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 the host vehicle; identify a representation of a target object in the first output; and determine whether a characteristic of the target object triggers a navigational constraint. If the navigational constraint is not triggered, the processing device may verify the identification of the representation of the target object based on a combination of the first output and the second output. If the navigational constraint is triggered, the processing device may verify the identification of the representation of the target object based on the first output; and in response to the verification, cause at least one navigational change to the host vehicle.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise at least one processor. The processor may be programmed to receive images representative of an environment of the host vehicle and analyze the images to identify a first object and a second object. The processor may determine a first predefined navigational constraint implicated by the first object and a second predefined navigational constraint implicated by the second object, wherein the first and second predefined navigational constraints cannot both be satisfied, and the second predefined navigational constraint has a priority higher than the first predefined navigational constraint. The processor may determine a navigational action for the host vehicle satisfying the second predefined navigational constraint, but not satisfying the first predefined navigational constraint and, cause an adjustment of a navigational actuator of the host vehicle in response to the determined navigational action.

Abstract: Systems and methods are disclosed for selectively reading text. A system may comprise an image capture device, an audio capture device, and a processor. The processor may be configured to receive images captured by the image capture device and audio signals captured by the audio capture device. The processor may analyze the image to identify text represented in the image; identify, based on the image, a structural element of the text; identify a request to read a first portion of the text associated with the structural element, the request being identified by at least one of analyzing the audio signals to detect a spoken request or detecting a gesture in the plurality of images; and present the first portion of text to the user of the wearable device.

Abstract: A method for responding to a user query based on captured images and audio. An audio signal captured by at least one microphone is analyzed to determine at least one word. At least one image captured by at least one image sensor is analyzed to determine at least one identifier of at least one of a person, an object, a location, or an event represented in the image. The at least one word and the at least one identifier are stored in a database. A question is received from the user and is analyzed to determine at least one term. The database is searched to determine a correlation between the at least one term and the at least one word or between the at least one term and the at least one identifier. A response to the question is generated based on the correlation and is provided to the user.

Abstract: A wearable device may include an image sensor configured to capture a plurality of images from an environment, a microphone configured to capture sounds from the environment, and at least one processor. The at least one processor may be programmed to receive audio signals representative of the sounds captured by the at least one microphone, and receive a first image including a representation of a first individual from among the plurality of images captured by the image sensor. The at least one processor may also be programmed to obtain a first audio segment from the audio signals using the first image. The first audio segment may include a first portion of the audio signals in which the first individual is speaking. The at least one processor may also be programmed to receive a second image including a representation of a second individual from among the plurality of images captured by the image sensor, and obtain a second audio segment from the audio signals using the second image.