Abstract: A navigation system may include at least one processor programmed to receive, from a camera, one or more images representative of an environment of a host vehicle; receive a first directional indicator representative of a first target trajectory direction for the host vehicle; and receive a first distance estimate associated with the first target trajectory direction. The processor may analyze the one or more images in view of the received first directional indicator and the received first distance estimate to identify in the one or more images a representation of a first road segment consistent with the first target trajectory direction and the first distance estimate; and generate a planned trajectory for the host vehicle, based at least in part on the first target trajectory direction and the first distance estimate. The planned trajectory may be made to extend along at least a portion of the first road segment.

Abstract: A camera for use in automotive applications includes a lens system having a modulation transfer function (MTF) tuned to process light in a spectral range from red to green with greater resolution than light in a spectral range from blue to violet. The camera also includes an imager having pixel sensors arranged in a matrix and a color filter matrix including multiple color filter elements, each corresponding to a pixel sensor of the imager. The color filter matrix includes red filter elements and yellow filter elements and the number of yellow filter elements is greater than the number of red filter elements.

Abstract: A navigation system for a host vehicle is provided. The system may comprise at least one processing device programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify at least one vehicle-induced occlusion zone in an environment of the host vehicle; and cause a navigational change for the host vehicle based, at least in part, on a size of a target vehicle that induces the identified occlusion zone.

Abstract: Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive a plurality of images captured by an image capture device, the plurality of images being representative of an environment of the host vehicle; analyze at least one of the plurality of images to identify a target vehicle in the environment of the host vehicle; receive map information associated with an environment of the host vehicle; determine a trajectory of the target vehicle over a time period based on analysis of the plurality of images; determine, based on the determined trajectory of the target vehicle and the map information, a position of the target vehicle relative to a road in the environment of the host vehicle; and determine a navigational action for the host vehicle based on the determined position of the target vehicle.

Abstract: A navigation system for a host vehicle may include a processor programmed to: receive from a center camera onboard the host vehicle a captured center image including a representation of at least a portion of an environment of the host vehicle, receive from a left surround camera onboard the host vehicle a captured left surround image including a representation of at least a portion of the environment of the host vehicle, and receive from a right surround camera onboard the host vehicle a captured right surround image including a representation of at least a portion of the environment of the host vehicle; provide the center image, the left surround image, and the right surround image to an analysis module configured to generate an output relative to the at least one captured center image; and cause a navigational action by the host vehicle based on the generated output.

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: Techniques are disclosed for updating a trusted software and another software, which may include receiving a software update package that comprises a trusted updated software component, a trusted updated software booting metadata, another updated software component, and another updated software booting metadata. The trusted updated software component may belong to an updated version of the trusted software, and the trusted software may have a certain trust level. The other updated software component may belong to an updated version of the other software, and the other software may have a trust level that is lower than the certain trust level. At least a part of the trusted updated software booting metadata may comprise retrieval information for retrieving, during a booting process, at least a portion of the other software booting metadata.

Abstract: Techniques are disclosed for updating a trusted software and another software, which may include receiving a software update package that comprises a trusted updated software component, a trusted updated software booting metadata, another updated software component, and another updated software booting metadata. The trusted updated software component may belong to an updated version of the trusted software, and the trusted software may have a certain trust level. The other updated software component may belong to an updated version of the other software, and the other software may have a trust level that is lower than the certain trust level. At least a part of the trusted updated software booting metadata may comprise retrieval information for retrieving, during a booting process, at least a portion of the other software booting metadata.

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 processing unit, where the processing unit one of a group of processing units of a system, includes a processor; and memory including instructions, which when executed by the processor while avoiding interrupting a controller that does not belong to the group of processing units, cause the processor to: perform at least one iteration of the steps of: (a) entering a trusted mode, (b) selecting a selected job to be executed by the processing unit, (c) retrieving access control metadata related to the selected job, (d) entering, by the processing unit, an untrusted mode, (e) executing the selected job by the processing unit while adhering to the access control metadata related to the job, and (f) resetting the processing unit.

Abstract: Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

Abstract: Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive images captured over a time period; analyze images to identify a target vehicle; receive map information associated including a plurality of target trajectories; determine, based on analysis of the images, first and second estimated positions of the target vehicle within the time period; determine, based on the first and second estimated positions, a trajectory of the target vehicle over the time period; compare the determined trajectory to the plurality of target trajectories to identify a target trajectory traversed by the target vehicle; determine, based on the identified target trajectory, a position of the target vehicle; and determine a navigational action for the host vehicle based on the determined position.

Abstract: Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

Abstract: Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, at least one processor may be programmed to receive, from a camera, a captured image representative of features in an environment of the vehicle. The processor may generate a warped image based on the received captured image, which may simulate a view of the features in the environment of the vehicle from a simulated viewpoint elevated relative to an actual position of the camera. The processor may further identify a road feature represented in the warped image, which may be transformed in one or more respects relative to a representation of the road feature in the captured image. The processor may then determine a navigational action for the vehicle based on the identified feature represented in the warped image and cause at least one actuator system of the vehicle to implement the determined navigational action.

Abstract: System and techniques for vehicle operation safety model (VOSM) compliance measurement are described herein. A subject vehicle is tested in a vehicle following scenario against VOSM parameter compliance. The test measures the subject vehicle activity during phases of the following scenario in which a lead vehicle slows and produces log data and calculations that form the basis of a VOSM compliance measurement.

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 are provided for autonomous vehicle navigation. The systems and methods may map a lane mark, may map a directional arrow, selectively harvest road information based on data quality, map road segment free spaces, map traffic lights and determine traffic light relevancy, and map traffic lights and associated traffic light cycle times.

Abstract: Various systems and methods for controlling a vehicle using driving policies are described herein.