The present disclosure relates to a vehicle interface device configured to output a haptic signal to indicate a potential hazard. The apparatus includes at least one haptic generator configured to generate a haptic signal; and a processor for controlling the haptic generator. The processor is configured to determine an angular position of the identified object relative to the vehicle in dependence on object data relating to an identified object representing a potential hazard. A control signal is generated to cause the haptic generator to output a haptic signal for providing an indication of the determined relative position of the identified object. The control signal is modified to progressively change the generated haptic signal to represent changes in the relative angular position of the identified object. The present disclosure also relates to a vehicle incorporating a vehicle interface device.

Based on information about a vehicle, the information can be projected and displayed onto a road surface or the like. An image projection apparatus, which projects an image, includes an acquisition unit that acquires the information about the vehicle, and an image projection unit that projects the image based on the information acquired by the acquisition unit.

An article of clothing includes user-protection circuitry, integrated into the article of clothing. The user-protection circuitry includes condition-detection circuitry, which, in operation, generates one or more indications related to an environment of the article of clothing. The user-protection circuitry also includes broadcast circuitry including at least one pulsing device, and control circuitry. The control circuitry, in operation, activates the broadcast circuitry based on the one or more indications related to the environment of the article of clothing generated by the condition-detection circuitry.

The invention regards a method and a system for assisting a driver in driving a vehicle, as well as a vehicle with such system being mounted thereon. Information on an environment of a vehicle is obtained by sensing the environment. Furthermore, information on applicable traffic rules is obtained. A request from a driver is determined from sensing at least one of a driver's utterance, gestures, gaze and operation of vehicle control. The traffic scene as sensed is assessed on the basis of the environmental information, the applicable traffic rules and the determined driver request. Information as requested to be output is generated in response to the determined request of the driver. Finally the information in response to the request from the driver is output.

A vehicle monitoring device includes a determination unit that determines whether a following vehicle shown in an image taken by a camera that takes an image of a surrounding area of a host vehicle is a two-wheel vehicle or not, and a warning unit that issues a warning when an inter-vehicle distance between the following vehicle and the host vehicle becomes equal to or less than a first distance in a case where the following vehicle is determined not to be a two-wheel vehicle by the determination unit, and issues a warning when the inter-vehicle distance between the following vehicle and the host vehicle becomes equal to or less than a second distance, which is longer than the first distance, in a case where the following vehicle is determined to be a two-wheel vehicle by the determination unit.

A method for the acquisition of collective surroundings information for cooperative and/or autonomous driving. The method includes a vehicle equipped with an on-board unit and surroundings observation apparatus which produces a report about a detected vehicle not equipped with an on-board unit and transmits the report to the further vehicles which are moving or are located in the respective area. The further vehicles which receive the report transmit back a confirmation message to the reporting vehicle and confirm that the further vehicles are happy with the report. The further vehicles then refrain from transmitting a separate report about the unequipped vehicle.

A method for operating a control device of a motor vehicle driving by automation. The method includes determining a location of the motor vehicle, and acquiring driving-environment data of the motor vehicle, a control characteristic of the control device of the motor vehicle being formed in such a way that a driving behavior of at least one other road user is influenced in defined manner.

A driver assistance system for motor vehicles, including at least one sensor for detecting object properties of objects which are located in the surroundings of the motor vehicle; a first interface; an output unit for transmitting the object properties to a user; and a control unit. The sensor transmits the object properties in a form of a first signal to the first interface. The first interface transmits the object properties, received in the form of the first signal, to the control unit in the form of a second signal, the control unit being configured to forward the object properties, received in the form of a second signal, to the output unit and to control the output of the object properties by the output unit.

A method for predicting a direction of movement of a target object, a method for training a neural network, a smart vehicle control method, a device, an electronic apparatus, a computer readable storage medium, and a computer program. The method for predicting a direction of movement of a target object comprises: acquiring an apparent orientation of a target object in an image captured by a camera device, and acquiring a relative position relationship of the target object in the image and the camera device in three-dimensional space (S100); and determining, according to the apparent orientation of the target object and the relative position relationship, a direction of movement of the target object relative to a traveling direction of the camera device (S110).

Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.