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.

When one sensors fails and thus malfunctions during automatic parking of a vehicle, only the other sensor functions. Accordingly, depending on the behavior of the vehicle, the detection characteristics of the other sensor cause degradation in recognition of the vehicle, hindering the automatic parking from being continued. In processing S401, a determination is made whether or not an external recognition device, such as a camera or sonar, malfunctions. In processing S402, based on the determination on malfunction of the external recognition device, a determination is made whether or not to restrict vehicle speed or to restrict a path, with reference to restriction information for parking control. The restriction information for parking control provides information for restricting the vehicle speed in accordance with the malfunction of the camera, and for restricting the path in accordance with the malfunction of the sonar. Next, in processing S403, a determination is made whether or not the automatic parking is in progress. When the automatic parking is in progress, the process proceeds to processing S404 where vehicle speed control or the like is performed for the automatic parking in accordance with the malfunction of the external recognition device.

Among other things, a command is received expressing an objective for operation of a vehicle within a denominated travel segment of a planned travel route. The objective spans a time series of (for example, is expressed at a higher or more abstract level than) control inputs that are to be delivered to one or more of the brake, accelerator, steering, or other operational actuator of the vehicle. The command is expressed to cause operation of the vehicle along a selected man-made travel structure of the denominated travel segment. A feasible manner of operation of the vehicle is determined to effect the command. A succession of control inputs is generated to one or more of the brake, accelerator, steering or other operational actuator of the vehicle in accordance with the determined feasible manner of operation.

This vehicle control device comprises: action amount determination units that determine evasive action amounts indicating the degree of evasive action relative to a recognized obstacle; and a travel control unit that performs travel control whereby a vehicle is caused to take evasive action corresponding to the determined evasive action amount. The action amount determination units determine the amount of evasive action, according to user preferences for the vehicle.

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.

Provided is a mobile object control device comprising a storage medium storing computer-readable commands and a processor connected to the storage medium, the processor executing the computer-readable commands to: acquire a subject bird's eye view image obtained by converting an image, which is photographed by a camera mounted in a mobile object to capture a surrounding situation of the mobile object, into a bird's eye view coordinate system; input the subject bird's eye view image into a trained model, which is trained to receive input of a bird's eye view image to output at least a three-dimensional object in the bird's eye view image, to detect a three-dimensional object in the subject bird's eye view image; detect a travelable space of the mobile object based on the detected three-dimensional object; and cause the mobile object to travel so as to pass through the travelable space.

An autonomous vehicle includes a detection system for identifying the presence of authorities or emergency vehicles on a road, such as law enforcement vehicles, fire engines, fire trucks, police officers, first responders, traffic cones, flares, etc. The detection system may include audio and visual detection system dedicated to the detection of authorities. Additionally, systems that correlate the detected authorities and/or any audible or visual instructions given by the authorities to changes in the behavior of the autonomous vehicle. The autonomous vehicle may react to the detected authorities or emergency vehicles by determining a driving related operation to safely operate around the detected authorities or emergency vehicles.

Aspects of the present disclosure describe systems, methods, and devices for automated vehicular control based on glare detected by an optical system of a vehicle. In some aspects, automated control includes controlling the operation of the vehicle itself, a vehicle subsystem, or a vehicle component based on a level of glare detected. According to some examples, controlling the operation of a vehicle includes instructing an automatically or manually operated vehicle to traverse a selected route based on levels of glare detected or expected along potentials routes to a destination. According to other examples, controlling operation of a vehicle subsystem or a vehicle component includes triggering automated responses by the subsystem or the component based on a level of glare detected or expected. In some additional aspects, glare data is shared between individual vehicles and with a remote data processing system for further analysis and action.

Method and device for autonomous driving of a vehicle on a roadway in a direction of travel. A trajectory for driving on the roadway in the direction of travel is determined. A bending strip of limited length defines the trajectory, wherein the bending strip is fixed at one end thereof in a node which defines a starting point of the trajectory. A course of the trajectory is determined, starting from the starting point, in dependence on a bending line of the bending strip, which line extends, starting from the node, to the other end of the bending strip. A representation of a roadway boundary defines a boundary condition for the determination of the trajectory. A quality measure is defined in dependence on a property of the bending strip. The bending line which satisfies the boundary condition and for which the quality measure has an extremal value is determined.

An autonomous driving control device is capable of starting an autonomous driving control without an operation of a driver and reducing a possibility that the driver can not start manual driving. An autonomous driving control is switched to manual driving when a determination section determines that the amount of operation by the driver is equal to or greater than a first threshold, before a predetermined time elapses since the autonomous driving control is automatically started. An autonomous driving control is switched to a manual driving when the determination section determines that the amount of operation by the driver is equal to or greater than a second threshold that is greater than the first threshold, after the predetermined time elapses.