Abstract: The system for in-vehicle video conferencing includes: an acquisition module for acquiring data of facial characteristic points of a user in the vehicle during a video conference call in which said user participates; a video synthesizer for producing an artificial video of the face of the user in the vehicle from the acquired data of facial characteristic points; and a communication device for transmitting the artificial video of the face of the user through a communication network in the video conference call.

Abstract: An illustrative example method of mapping a physical environment using an occupancy grid containing a set of cells associated with respective occupancy probabilities includes measuring a potential position of an object, using a sensor and identifying a segment representing a distribution interval of probable values associated with respective probability values relating to the measured potential position. The segment extends according to only one of two dimensions of the coordinate system of the sensor and penetrates a subset of potentially occupied cells. The method includes evaluating a probability of occupancy of each potentially occupied cell by determining the features of a segment portion included in the potentially occupied cell, and determining the probability of occupancy of the potentially occupied cell as a function of the determined segment portion using the probability density function.

Abstract: The present disclosure relates to a vehicle camera, camera system including the same, video processing method, and a computer software product, and in aspects may be particularly relevant to vehicular camera systems for monitoring the interior and exterior of the vehicle. In an aspect, a vehicle camera includes an imager and an ultra-wide-angle lens assembly for focusing onto the imager an ultra-wide-angle image having a field of view. The camera is configured to be mounted within a vehicle such that the field of view includes an interior portion representing part of the interior of the vehicle and exterior portion representing part of the exterior of the vehicle.

Abstract: A method is provided for determining a current status of a window of a vehicle. The vehicle comprises an optical sensor system configured to acquire at least one image of an interior of a vehicle cabin, wherein at least a part of the window is visible in the at least one image. According to the method, at least one characteristic of a pane of the window is determined from the at least one image, and the current status of the window is determined based on the at least one characteristic of the pane.

Abstract: An illustrative example method of mapping a physical environment using an occupancy grid containing a set of cells associated with respective occupancy probabilities includes measuring a potential position of an object, using a sensor and identifying a segment representing a distribution interval of probable values associated with respective probability values relating to the measured potential position. The segment extends according to only one of two dimensions of the coordinate system of the sensor and penetrates a subset of potentially occupied cells. The method includes evaluating a probability of occupancy of each potentially occupied cell by determining the features of a segment portion included in the potentially occupied cell, and determining the probability of occupancy of the potentially occupied cell as a function of the determined segment portion using the probability density function.

Abstract: An illustrative example method of mapping a physical environment using an occupancy grid containing a set of cells associated with respective occupancy probabilities includes measuring a potential position of an object, using a sensor and identifying a segment representing a distribution interval of probable values associated with respective probability values relating to the measured potential position. The segment extends according to only one of two dimensions of the coordinate system of the sensor and penetrates a subset of potentially occupied cells. The method includes evaluating a probability of occupancy of each potentially occupied cell by determining the features of a segment portion included in the potentially occupied cell, and determining the probability of occupancy of the potentially occupied cell as a function of the determined segment portion using the probability density function.

Abstract: The system for in-vehicle video conferencing (200) includes: an acquisition module (201) for acquiring data of facial characteristic points of a user (A) in the vehicle (100) during a video conference call in which said user (A) participates; a video synthesizer (202A) for producing an artificial video of the face of the user in the vehicle (100) from the acquired data of facial characteristic points, a communication device (203) for transmitting the artificial video of the face of the user through a communication network (300) in the video conference call.

Abstract: An illustrative example method of mapping a physical environment using an occupancy grid containing a set of cells associated with respective occupancy probabilities includes measuring a potential position of an object, using a sensor and identifying a segment representing a distribution interval of probable values associated with respective probability values relating to the measured potential position. The segment extends according to only one of two dimensions of the coordinate system of the sensor and penetrates a subset of potentially occupied cells. The method includes evaluating a probability of occupancy of each potentially occupied cell by determining the features of a segment portion included in the potentially occupied cell, and determining the probability of occupancy of the potentially occupied cell as a function of the determined segment portion using the probability density function.

Abstract: A method for identifying objects in a traffic space by means of a sensor system arranged at or in a host vehicle comprises the steps of determining the positions of a plurality of object surface spots detected by the sensor system in a vehicle coordinate system, assigning the determined positions of object surface spots to at least one detection group by means of a clustering algorithm, wherein the clustering algorithm uses clustering regions defining threshold distances, and identifying at least one object by determining that positions of object surface spots belonging to the same detection group form part of a single object. The determined positions of object surface spots are transformed in a transformation process and the clustering algorithm is applied to the transformed positions of object surface spots. The transformation process includes a directional scaling step that renders the clustering regions non-circular in the vehicle coordinate system.

Abstract: A method for identifying objects in a traffic space by means of a sensor system arranged at or in a host vehicle comprises the steps of determining the positions of a plurality of object surface spots detected by the sensor system in a vehicle coordinate system, assigning the determined positions of object surface spots to at least one detection group by means of a clustering algorithm, wherein the clustering algorithm uses clustering regions defining threshold distances, and identifying at least one object by determining that positions of object surface spots belonging to the same detection group form part of a single object. The determined positions of object surface spots are transformed in a transformation process and the clustering algorithm is applied to the transformed positions of object surface spots. The transformation process includes a directional scaling step that renders the clustering regions non-circular in the vehicle coordinate system.