Abstract: A method and a system can generate a representation of a working area of an autonomous lawn mower. The system can include an autonomous lawn mower and a base station, and a boundary wire forming a closed loop which can be connected with the base station. The lawn mower and the base station interact such that the lawn mower can determine whether it is in its home position, a predetermined position that is taken when the mower returns to the base station. The lawn mower further includes a memory, for storing values from a movement sensor. A trajectory is generated based on the values, wherein a processor is configured to calculate an error between the position and orientation according to the trajectory and the home position. This total position error and total orientation error is then used to correct the position and corresponding orientations of the trajectory.

Abstract: The present invention provides an optical sensor supporting structure for a saddled vehicle capable of accurately detecting a front of the vehicle by an optical sensor without affecting usability of accessories at a front portion of the vehicle. The optical sensor supporting structure for a saddled vehicle includes left and right cameras which are configured to detect an object in front of the vehicle, and a support stay which is fixed to a head pipe of a vehicle body frame and supports accessories at the front of the vehicle on the head pipe, wherein the left and right cameras are supported by the support stay.

Abstract: The invention regards an autonomous working machine comprising drive means, current position estimation means, control means including a driving control unit and a camera. With aid of the current position estimation means the current position of the autonomous working machine is estimated. Furthermore, the driving control unit generates driving commands for the driving means on the basis of an intended movement of the autonomous working machine and the estimated current position. The camera is configured to capture images of the environment of the working machine. For estimating the current position, the current position estimation means is formed by the control means, which is configured to apply visual odometry on the captured images for estimating the current position of the working machine.

Abstract: The present invention provides an optical sensor supporting structure for a saddled vehicle capable of accurately detecting a front of the vehicle by an optical sensor without affecting usability of accessories at a front portion of the vehicle. The optical sensor supporting structure for a saddled vehicle includes left and right cameras which are configured to detect an object in front of the vehicle, and a support stay which is fixed to a head pipe of a vehicle body frame and supports accessories at the front of the vehicle on the head pipe, wherein the left and right cameras are supported by the support stay.

Abstract: A method and a system can generate a representation of a working area of an autonomous lawn mower. The system can include an autonomous lawn mower and a base station, and a boundary wire forming a closed loop which can be connected with the base station. The lawn mower and the base station interact such that the lawn mower can determine whether it is in its home position, a predetermined position that is taken when the mower returns to the base station. The lawn mower further includes a memory, for storing values from a movement sensor. A trajectory is generated based on the values, wherein a processor is configured to calculate an error between the position and orientation according to the trajectory and the home position. This total position error and total orientation error is then used to correct the position and corresponding orientations of the trajectory.

Abstract: Embodiments of the invention address the area of predictive suspension control system for a vehicle, particularly a two-wheel vehicle such as a motor cycle or a scooter. The system includes a stereo sensor unit which for generating image data, a computing unit which extracts a relevant image portion from the image data based on future vehicle path data, and calculates road unevenness on a future vehicle path of the vehicle based on the generated image data. A suspension control unit generates an adaptation signal for adapting the suspension based on the calculated road unevenness. The computing unit adapts a search direction of a stereo algorithm or a correlation area of the stereo algorithm based on a lean angle of the vehicle to generate the three-dimensional partial image data from the relevant image portion, and fits a road model to the three-dimensional partial image data to calculate the road unevenness.

Abstract: The invention regards an autonomous working machine comprising drive means, current position estimation means, control means including a driving control unit and a camera. With aid of the current position estimation means the current position of the autonomous working machine is estimated. Furthermore, the driving control unit generates driving commands for the driving means on the basis of an intended movement of the autonomous working machine and the estimated current position. The camera is configured to capture images of the environment of the working machine. For estimating the current position, the current position estimation means is formed by the control means, which is configured to apply visual odometry on the captured images for estimating the current position of the working machine.

Abstract: Embodiments of the invention address the area of predictive suspension control system for a vehicle, particularly a two-wheel vehicle such as a motor cycle or a scooter. The system includes a stereo sensor unit which for generating image data, a computing unit which extracts a relevant image portion from the image data based on future vehicle path data, and calculates road unevenness on a future vehicle path of the vehicle based on the generated image data. A suspension control unit generates an adaptation signal for adapting the suspension based on the calculated road unevenness. The computing unit adapts a search direction of a stereo algorithm or a correlation area of the stereo algorithm based on a lean angle of the vehicle to generate the three-dimensional partial image data from the relevant image portion, and fits a road model to the three-dimensional partial image data to calculate the road unevenness.

Abstract: The present invention presents a sensing system 1 and a corresponding method for detecting moving objects 11 in the surroundings of a vehicle 10. The sensing system 1 comprises an imaging unit 2 for obtaining an image stream 2a, a computing unit 3 for analyzing the image stream 2a, and a control unit 4 for controlling the vehicle 10 based on the analysis result of the computing unit 3. The sensing system 1 particularly employs a background-model-free estimation. The sensing system 1 is configured to perform a local analysis of two neighboring motion vectors 6, which are computed from points 7a in images 5a, 5b of the image stream 2a, and to determine, whether the points 7a corresponding to these motion vectors 6 belong to a particularly moving object.

Abstract: The invention relates to a method for determining a static element in images captured by an imaging means mounted on a movable device. The method comprises steps of acquiring a first image and a second image captured by the imaging means. The first image and the second image are captured at capture times separated by a time difference and the method is characterized by the time difference being selected depending on motion parameters of the movable device. A determination measure for corresponding regions of the first and the second image for representing a similarity of the corresponding regions is calculated and a static element of the first and the second image is determined based on the calculated determination measure. An output signal comprising information on the determined static element is generated.

Abstract: The invention provides an image processing method for processing a sequence of images, comprising the steps of: obtaining, from a visual sensor, at least two images of the sequence of images, detecting whether the images include a distortion, determining an image warping function at least partially compensating the distortion, applying the determined warping function to the image(s) including the distortion, and calculating by a processing unit, and outputting, an optical flow as a displacement vector field form the images.

Abstract: The invention relates to a method for determining a static element in images captured by an imaging means mounted on a movable device. The method comprises steps of acquiring a first image and a second image captured by the imaging means. The first image and the second image are captured at capture times separated by a time difference and the method is characterized by the time difference being selected depending on motion parameters of the movable device. A determination measure for corresponding regions of the first and the second image for representing a similarity of the corresponding regions is calculated and a static element of the first and the second image is determined based on the calculated determination measure. An output signal comprising information on the determined static element is generated.

Abstract: A method of generating an audio output signal according to a downward compatible sound format, the method including: generating a sum signal by combining a first input channel signal with a second input channel signal; and dynamically correcting the sum signal using samples of the first and second input channel signals from overlapping time windows.

Abstract: The present invention proposes a warning system that can be implemented in any kind of vehicle, in order to efficiently detect moving objects. The system utilizes at least one camera for a continuous imaging of the surroundings of the vehicle. Thereby, moving objects can be monitored. A computing unit is programmed to estimate a motion of any moving object based on a pixel motion in the camera image. If a dangerously moving object is detected, a warning unit can be used for issuing a warning signal. To take such a decision, the estimated motion of at least one of the moving objects can be correlated or compared to predetermined motion patterns.

Abstract: The invention provides an image processing method for processing a sequence of images, comprising the steps of: obtaining, from a visual sensor, at least two images of the sequence of images, detecting whether the images include a distortion, determining an image warping function at least partially compensating the distortion, applying the determined warping function to the image(s) including the distortion, and calculating by a processing unit, and outputting, an optical flow as a displacement vector field form the images.

Abstract: The present invention presents a sensing system 1 and a corresponding method for detecting moving objects 11 in the surroundings of a vehicle 10. The sensing system 1 comprises an imaging unit 2 for obtaining an image stream 2a, a computing unit 3 for analyzing the image stream 2a, and a control unit 4 for controlling the vehicle 10 based on the analysis result of the computing unit 3. The sensing system 1 particularly employs a background-model-free estimation. The sensing system 1 is configured to perform a local analysis of two neighboring motion vectors 6, which are computed from points 7a in images 5a, 5b of the image stream 2a, and to determine, whether the points 7a corresponding to these motion vectors 6 belong to a particularly moving object.

Abstract: To improve a cropping system by obtaining coverage of a wide range of contents for smaller sized displays of handheld devices, a method starts from a metadata aggregation and corresponding video, e.g. in post-production, program exchange and archiving, wherein (a) video is passed to a video analysis to deliver video, e.g. by use of motion detection, morphology filters, edge detection, etc.

Abstract: The present invention proposes a warning system that can be implemented in any kind of vehicle, in order to efficiently detect moving objects. The system utilizes at least one camera for a continuous imaging of the surroundings of the vehicle. Thereby, moving objects can be monitored. A computing unit is programmed to estimate a motion of any moving object based on a pixel motion in the camera image. If a dangerously moving object is detected, a warning unit can be used for issuing a warning signal. To take such a decision, the estimated motion of at least one of the moving objects can be correlated or compared to predetermined motion patterns.

Abstract: A method of generating an audio output signal according to a downward compatible sound format, the method including: generating a sum signal by combining a first input channel signal with a second input channel signal; and dynamically correcting the sum signal using samples of the first and second input channel signals from overlapping time windows.

Abstract: To improve a cropping system by obtaining coverage of a wide range of contents for smaller sized displays of handheld devices, a method starts from a metadata aggregation and corresponding video, e.g. in post-production, program exchange and archiving, wherein (a) video is passed to a video analysis to deliver video, e.g. by use of motion detection, morphology filters, edge detection, etc.