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.

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.

The present invention relates to a moving object detection method in a dynamic scene using a monocular camera, which is capable of detecting a moving object using a monocular camera installed on the moving object such as a vehicle, and warning a driver of a dangerous situation. The moving object detection method in a dynamic scene using a monocular camera can detect a moving object in a dynamic scene using the monocular camera without a stereo camera.

The present invention relates to a moving object detection method in a dynamic scene using a monocular camera, which is capable of detecting a moving object using a monocular camera installed on the moving object such as a vehicle, and warning a driver of a dangerous situation. The moving object detection method in a dynamic scene using a monocular camera can detect a moving object in a dynamic scene using the monocular camera without a stereo camera.

This system for detecting the surrounding conditions of a moving body forcibly changes the state of at least one of a plurality of lighting devices (change from an unlit state to a lighting state or a blinking state, change in the emission color, or change in the luminance) installed inside the moving body, if an object to which attention must be paid during traveling of the moving body is detected in the surroundings of the moving body.

Embodiments generally relate to a method, an apparatus, and a machine-readable medium for delivering an at least one alerting scent to a cabin of a vehicle. In particular, embodiments relate to a method comprising obtaining information on an environment of the vehicle, determining an alert condition based on the information on the environment of the vehicle, and delivering the at least one alerting scent to the cabin of the vehicle based on the alert condition.

Embodiments generally relate to a method, an apparatus, and a machine-readable medium for delivering an at least one alerting scent to a cabin of a vehicle. In particular, embodiments relate to a method comprising obtaining information on an environment of the vehicle, determining an alert condition based on the information on the environment of the vehicle, and delivering the at least one alerting scent to the cabin of the vehicle based on the alert condition.

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.

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.