At least one processor of a vehicle is configured to execute at least one program to: generate a speed plan for a first travel route from a blind spot elimination position to a position specified by a control standby condition, the speed plan specifying a speed of the vehicle for a position on the first travel route so as to meet a requirement that the vehicle be decelerated at a predetermined allowable deceleration or less for a predetermined time from the blind spot elimination position to satisfy the control standby condition; and instruct, for a second travel route from a current position of the vehicle to the blind spot elimination position, the vehicle to travel along the second travel route by autonomous driving so as to cause the vehicle to reach a speed specified by the speed plan at the blind spot elimination position.

A method for checking at least one driving environment sensor of a vehicle is provided. The vehicle is located on a digital map, features of stored stationary objects in an environment of the vehicle, which are expected to be recognized by the driving environment sensor, are identified in the digital map and the environment of the vehicle is sensed using the driving environment sensor. A degradation of the driving environment sensor is deduced if the features to be recognized according to expectations are not recognized by the driving environment sensor or if features actually recognized by the driving environment sensor deviate strongly from the features to be recognized according to expectations.

Systems and methods are provided for vehicle navigation. In one implementation, at least one processor may receive, from a camera, at least one captured image representative of features in an environment of the vehicle. The processor may identify an intersection and a pedestrian in a vicinity of the intersection represented in the image. The processor may determine a navigational action for the vehicle relative to the intersection based on routing information for the vehicle; and determine a predicted path for the vehicle relative to the intersection based on the determined navigational action and a predicted path for the pedestrian based on analysis of the image. The processor may further determine whether the vehicle is projected to collide with the pedestrian based on the projected paths; and, in response, cause a system associated with the vehicle to implement a collision mitigation action.

A method includes operations to obtain a planned driving action for accomplishing a navigational goal of a host vehicle, identify a planned trajectory for the host vehicle, identify, from analysis of sensor data representative of an environment of the host vehicle, movement of an actor in the environment, identify a predicted trajectory of the actor, the planned trajectory for the host vehicle to intersect the predicted trajectory for the actor, determine a navigational constraint for the host vehicle, determine a higher priority of the navigational constraint over at least one other navigational constraint for the host vehicle in the environment, calculate a safety action of the host vehicle to respond to the predicted trajectory of the actor, wherein the safety action reduces intersection of the planned trajectory with the predicted trajectory of the actor; and cause the safety action to be applied in the host vehicle.

A method and apparatus for avoiding a blind spot of a vehicle, where the apparatus for avoiding the blind spot of the vehicle includes an image sensor configured to provide image information by acquiring a surrounding image of a host vehicle, and a vehicle controller configured to sense a large vehicle traveling adjacent to the host vehicle based on the image information, determine a blind spot range of the large vehicle, determine a dangerous level of the blind spot range, and generate a path for the host vehicle to deviate from the blind spot or to avoids the blind spot, based on a traveling situation of the host vehicle.

A method, system and non-transitory computer readable medium for multi-stage communication between an autonomous vehicle and a road user. The autonomous vehicle uses vehicle external cameras, a LiDAR sensors and radar sensors to image the surrounding environment. Image processing circuitry is used to develop a view of the surrounding environment from the sensed images and the view is combined with stored map data. Road users, which may include pedestrians, bicyclists, motorcyclists and non-autonomous vehicles are identified on the view and it is determined whether the movement of the road user will intersect the trajectory of the autonomous vehicle. The autonomous vehicle performs a vehicle behavior modification as a first stage signal to alert the road user of its intent. If the road user does not react to the first stage signal, the autonomous vehicle activates additional external lighting as a second stage signal to alert the road user.

A driving assistance device performs collision avoidance control for avoidance of a collision between a vehicle and an object being around the vehicle and detected by an object detector, the collision avoidance control being performed based on collision determination as to a collision between the object and the vehicle. The driving assistance device includes: an object sensing section that senses an object around the vehicle; a blind spot area setting section that sets a blind spot area at an area positioned in the vehicle's blind spot blocked by an obstacle sensed by the object sensing section; an early determination area setting section that sets an early determination area including the blind spot area and extended therefrom; and a collision determination section that accelerates the collision determination for an object sensed in the early determination area, compared with the collision determination for an object sensed outside the early determination area.

Disclosed herein is a passenger monitoring system for monitoring an observed attribute of a passenger in a vehicle. The observed attribute may include a gaze of the passenger, a head track of the passenger, and other observations about the passenger in the vehicle. Based on the observed attribute(s), a field of view of the passenger may be determined. Based on the field of view, a focus point of the passenger may be determined, where the focus point is estimated to be within the field of view. If a sign (e.g., a road sign, a billboard, etc.) is within the field of view of the passenger, record an attention score for the sign based on a duration of time during which the sign is within the field of view and estimated to be the focus point of the passenger.

A vehicle periphery monitoring device that: captures images of rear lateral sides and a rear side of a vehicle; detects objects that exist in, rear lateral overlap regions of captured rear lateral images, and rear overlap regions of a captured rear image; determines whether or not a specific object, which is seen only in either of the rear lateral overlap regions in the rear lateral images or the rear overlap regions in the rear image, is included among the detected objects; and, in a case in which it is determined that the specific object is included, displays a specific object display, which corresponds to the specific object, overlapping with the rear lateral image or the rear image, in which the specific object is not seen, on at least one display portion.

A driving action determination device includes a memory and a processor. The processor is configured to acquire map information which includes information about intersections at which a temporary stop line is provided, specify, based on vehicle behavior information detected by sensors mounted at a vehicle, a direction of approach of the vehicle or a direction of movement of the vehicle towards the temporary stop line, specify, based on the specified direction of approach or direction of movement, a temporary stop line where the vehicle is required to make a temporary stop, and determine, based on the vehicle behavior information, whether or not a temporary stop has been made by the vehicle at the specified temporary stop line.