An optical storage phosphor, a method for checking an authenticity feature, and an apparatus for carrying out a method, relate to an authenticity feature and to a value document. An inorganic optical storage phosphor is provided having a garnet structure and predetermined composition.

An automotive electronic preventive active safety system comprising a control module configured to receive data indicative of a current position of a vehicle, of roads and characteristics thereof including road curvature, and of potential driving routes of the motor-vehicle from a current position up to an electronic horizon thereof. If a current speed of the vehicle at the current position is greater than or equal to a driving speed determined by a driving speed profile for the current position, the control module is configured to at least one of: command the motor-vehicle to decelerate to the driving speed determined by the driving speed profile for the current position; and generate a request to a driver of the motor-vehicle to decelerate the motor-vehicle to the driving speed determined by the driving speed profile for the current position.

A driving support apparatus (12) has: a setting device (122) for setting a first target position (31) on the basis of a first sign object (21), if the first sign object requesting a vehicle (1) to stop is detected; and a supporting device (123) for performing a first deceleration control for decelerating the vehicle to a first target speed before the vehicle reaches the first target position, if a second sign object (22) representing a stop position is detected during a period when the first decelerating control is performed, the setting device sets a second target position (32) on the basis of the second sign object and the supporting device performs a second decelerating control for decelerating the vehicle to a second target speed before the vehicle reaches the second target position.

A system and method for using human driving patterns to manage speed control for autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to desired human driving behaviors; training a human driving model module using a reinforcement learning process and the desired human driving behaviors; receiving a proposed vehicle speed control command; determining if the proposed vehicle speed control command conforms to the desired human driving behaviors by use of the human driving model module; and validating or modifying the proposed vehicle speed control command based on the determination.

A travel control method for a vehicle having an autonomous travel control function includes: detecting an oncoming vehicle travelling in the opposite lane of the travel lane in which the subject vehicle travels; predicting whether or not the oncoming vehicle enters into the travel lane in which the subject vehicle travels; when it is predicted that the oncoming vehicle enters into the travel lane in which the subject vehicle travels, setting initial deceleration of the subject vehicle in a case of time until the subject vehicle and the oncoming vehicle pass each other being relatively long to a smaller value than the initial deceleration in a case of the time being relatively short, and executing deceleration travel control of the subject vehicle.

An automated driving system (ADS) includes an automation control module for controlling one or more driving functions of a vehicle, and a safety control module for determining one or more operating conditions relevant to the safety performance of the vehicle, such as driver awareness and processor temperature. The automation control module is configured to automatically adjust the speed of the vehicle based on the one or more operating conditions determined by the safety control module.

Among other things, techniques are described for expressive vehicle systems. These techniques may include obtaining, with at least one processor, data associated with an environment, the environment comprising a vehicle and at least one object; determining an expressive maneuver including a deceleration of the vehicle such that the vehicle stops at least a first distance away from the at least one object and the vehicle reaches a peak deceleration when the vehicle is a second distance away from the at least one object; generating data associated with control of the vehicle based on the deceleration associated with the expressive maneuver; and transmitting the data associated with the control of the vehicle to cause the vehicle to decelerate based on the deceleration associated with the expressive maneuver.

A travel control method for a vehicle having an autonomous travel control function includes: detecting an oncoming vehicle travelling in the opposite lane of the travel lane in which the subject vehicle travels; predicting whether or not the oncoming vehicle enters into the travel lane in which the subject vehicle travels; when it is predicted that the oncoming vehicle enters into the travel lane in which the subject vehicle travels, setting initial deceleration of the subject vehicle in a case of time until the subject vehicle and the oncoming vehicle pass each other being relatively long to a smaller value than the initial deceleration in a case of the time being relatively short; and executing deceleration travel control of the subject vehicle.

A vehicle travel control system for a vehicle may include: a braking profile generator to generate a brake pressure profile or a target speed profile based on monitored driving information of a host vehicle and a target vehicle; and a controller to control a speed or a deceleration of the host vehicle based on the generated profile. In particular, the braking profile generator analyzes an intention of a driver of the host vehicle when the driver intervenes at least one of the speed or deceleration of the host vehicle being controlled, and the braking profile generator further revises the target speed profile or brake pressure profile when the analyzed intention represents preferences of the driver such that the controller controls the host vehicle based on the revised profile.

An apparatus and method are provided for controlling autonomous driving of a vehicle which may derive predicted paths of a pedestrian and a two-wheel vehicle during autonomous driving of the vehicle so as to minimize accidents. The method includes calculating first height information allocating a first gradient that descends in a proceeding direction of objects, including a vehicle and a pedestrian, from respective positions of the objects based on dynamic information of the objects, calculating second height information allocating a second gradient based on a probability that the pedestrian will occupy infrastructure, calculating final height information by fusing the first height information and the second height information, generating a predicted path of the pedestrian, determining a driving strategy of a host vehicle based on a predicted path of the host vehicle and the predicted path of the pedestrian.