An information display device includes a surrounding environment detector, a vehicle information acquirer, a predictor, an avoidance path provider, and an information display. The surrounding environment detector detects position relevant information related to a position of at least a surrounding object in a surrounding environment of a vehicle. The vehicle information acquirer detects vehicle information including a speed and a steering direction of the vehicle. The predictor predicts a contact of the vehicle with the surrounding object, based on the position relevant information and the vehicle information. When the predictor has predicted that there is a possibility of the contact of the vehicle with the surrounding object, the avoidance path provider assumes an avoidance path for avoiding the contact, based on the position relevant information and the vehicle information. The information display displays the avoidance path.

Embodiments can provide an intelligent vehicle that determines that the vehicle interior comprises multiple occupants; identifies the occupants; based on the driving behavior of the vehicle, creates a composite occupant profile associated with the group of plural occupants, the composite occupant profile comprising the identities of the plural occupants and group preferences for various vendor products or services; and, based on the composite occupant profile and received inputs from a user interface, an automatic vehicle location system, and a plurality of sensors in the vehicle, performs one or more actions, such as: (a) proposing one or more vendor products or services for the group of occupants; (b) publishing the vendor products or services selected by the group of occupants, via a social network, to associated or selected associates of the occupants in the group; and (c) presenting advertisement information from a vendor server associated with the proposed or selected vendor products or services to one or more of the occupants in the group.

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 a navigational state associated with the host vehicle; determine a first predefined navigational constraint implicated by at least one aspect of the navigational state; identify, based on analysis of the plurality of images, a presence of at least one navigational constraint augmentation factor; determine a second navigational constraint based on identification of the at least one navigational constraint augmentation factor; determine, based on the identified navigational state, a navigational action for the host vehicle satisfying the second navigational constraint; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the determined navigational action.

A vehicle control device includes: a peripheral situation recognition unit (132) configured to recognize a peripheral situation of an automatic driving vehicle; a driving control unit (140, 160, (138)) configured to control one or both of steering and an acceleration or deceleration speed of the vehicle based on the peripheral situation recognized by the peripheral situation recognition unit; and a potential risk estimation unit (138) configured to estimate presence or absence and classification of a potential risk meeting with an obstacle based on classification of a target recognized by the peripheral situation recognition unit and a positional relation between the vehicle and the target. The driving control unit performs the driving control based on an estimation result of the potential risk estimation unit.

Techniques are discussed for controlling a vehicle, such as an autonomous vehicle, based on occluded areas in an environment. An occluded area can represent areas where sensors of the vehicle are unable to sense portions of the environment due to obstruction by another object. An occlusion grid representing the occluded area can be stored as map data or can be dynamically generated. An occlusion grid can include occlusion fields, which represent discrete two- or three-dimensional areas of driveable environment. An occlusion field can indicate an occlusion state and an occupancy state, determined using LIDAR data and/or image data captured by the vehicle. An occupancy state of an occlusion field can be determined by ray casting LIDAR data or by projecting an occlusion field into segmented image data. The vehicle can be controlled to traverse the environment when a sufficient portion of the occlusion grid is visible and unoccupied.

Provided is a disclosure for a vehicle platform that includes acquiring information, analyzing the information, and controlling the vehicle, as well as sharing the acquired information and infotainment in the vehicle with other vehicles and electronic devices.

A drive planning processor plans a driving operation plan for a subject vehicle traveling on a route. The drive planning processor determines an action for each of a plurality of events which the subject vehicle encounters in a time-series manner when traveling on a first route and plans a series of driving operation plan for a scene which the subject vehicle encounters using content of each action determined for each of the plurality of events.

This document discloses system, method, and computer program product embodiments for generating a possible object trajectory. For example, the method includes: analyzing sensor data to detect a moving object in an environment and at least one obstacle that the moving object is unable to traverse; generating a definition for a location of the obstacle in the environment in terms of reference frames defined for a lane and distances from a left boundary of the lane to edges of the obstacle; using the definition for the location of the obstacle and known dimensions of the moving object to detect any free space around the obstacle through which the moving object can traverse; and generating the possible object trajectory based on the detection of any free space.

A route planner detects a pedestrian from surrounding data representing a situation of surroundings of a vehicle, identifies a position of a pause-by object in the surroundings of the vehicle prompting the pedestrian to pause, creating a travel route over which the vehicle will travel when the pedestrian is detected, assuming the pedestrian will enter a road on which the vehicle will travel when the identified position of the pause-by object is not in the vicinity of the pedestrian, and assuming the pedestrian will not enter the road when the identified position of the pause-by object is in the vicinity of the pedestrian.

A drive support apparatus capable of performing vehicle control at an appropriate timing in accordance with an attribute of a person existing in surroundings of a vehicle is provided. A drive support apparatus according to the present disclosure includes: a detection unit configured to detect a person in an image of surroundings of a vehicle; a calculation unit configured to calculate a positional relation between the vehicle and the person based on the image; an estimation unit configured to estimate an attribute of the person based on the image, the attribute being related to likelihood of an accident; and a determination unit configured to determine a timing of a vehicle control based on the positional relation and the attribute.