Abstract: A system and method for guiding at least one autonomous vehicle within an area, the system comprising: 3D-measuring means configured to detect the at least one autonomous vehicle and at least one object within the area, identifying means configured to obtain an identity of the at least one autonomous vehicle, aggregating means configured to aggregate information of the position and movement of the at least one autonomous vehicle, processing means configured to generate a set of instructions for the at least one autonomous vehicle, based on a total driving efficiency for said at least one autonomous vehicle and at least one additional vehicle and transmitting means configured to transmit the set of instructions for guiding the at least one autonomous vehicle.

Abstract: A method for detecting wheels of a vehicle on a road comprises directing a vehicle classification sensor onto a section of the road and recording a 3D representation of the vehicle, directing a camera onto the section and recording a source 2D image, determining a bounding box circumscribing the 3D representation, a side and four corner points of said bounding box side, identifying corner points in a source 2D image plane, defining four corner points of a rectangle in a destination 2D image plane, calculating a projective transformation between the source corner image points and the destination corner image points, transforming source 2D image pixels to destination 2D image pixels of a first destination 2D image, and detecting the wheels using the destination 2D image.

Abstract: A method for detecting wheels of a vehicle on a road comprises directing a vehicle classification sensor onto a section of the road and recording a 3D representation of the vehicle, directing a camera onto the section and recording a source 2D image, determining a bounding box circumscribing the 3D representation, a side and four corner points of said bounding box side, identifying corner points in a source 2D image plane, defining four corner points of a rectangle in a destination 2D image plane, calculating a projective transformation between the source corner image points and the destination corner image points, transforming source 2D image pixels to destination 2D image pixels of a first destination 2D image, and detecting the wheels using the destination 2D image.

Abstract: The present disclosure relates to a method of controlling a traffic surveillance system. The method comprises the steps of: capturing first images and second images over time by a plurality of the stereoscopic sensors; processing, by the processing unit, a first image and a second image from a first stereoscopic sensor of the plurality of the stereoscopic sensors to produce a first height image; analyzing said first height image to detect a moving object such as a vehicle located within the primary view; and analysing a part of a primary view of at least a first image, a second image or a combination of the first image and the second image captured by a second stereoscopic sensor based on the detected moving object in said first height image to determine a characteristic of the moving object.

Abstract: The present disclosure relates to a method of controlling a traffic surveillance system. The method comprises the steps of: capturing first images and second images over time by a plurality of the stereoscopic sensors; processing, by the processing unit, a first image and a second image from a first stereoscopic sensor of the plurality of the stereoscopic sensors to produce a first height image; analyzing said first height image to detect a moving object such as a vehicle located within the primary view; and analysing a part of a primary view of at least a first image, a second image or a combination of the first image and the second image captured by a second stereoscopic sensor based on the detected moving object in said first height image to determine a characteristic of the moving object.