Abstract: The present disclosure provides a sensor cleaning system that cleans one or more sensors of an autonomous vehicle. Each sensor can have one or more corresponding sensor cleaning units that are configured to clean such sensor using a fluid (e.g., a gas or a liquid). Thus, the sensor cleaning system can include both a gas cleaning system and a liquid cleaning system. According to one aspect, the sensor cleaning system can provide individualized cleaning of the autonomous vehicle sensors. According to another aspect, a liquid cleaning system can be pressurized or otherwise powered by the gas cleaning system or other gas system.

Abstract: The present disclosure provides a sensor cleaning system that cleans one or more sensors of an autonomous vehicle. Each sensor can have one or more corresponding sensor cleaning units that are configured to clean such sensor using a fluid (e.g., a gas or a liquid). Thus, the sensor cleaning system can include both a gas cleaning system and a liquid cleaning system. According to one aspect, the sensor cleaning system can provide individualized cleaning of the autonomous vehicle sensors. According to another aspect, a liquid cleaning system can be pressurized or otherwise powered by the gas cleaning system or other gas system.

Abstract: The present disclosure provides a sensor cleaning system that cleans one or more sensors of an autonomous vehicle. Each sensor can have one or more corresponding sensor cleaning units that are configured to clean such sensor using a fluid (e.g., a gas or a liquid). Thus, the sensor cleaning system can include both a gas cleaning system and a liquid cleaning system. According to one aspect, the sensor cleaning system can provide individualized cleaning of the autonomous vehicle sensors. According to another aspect, a liquid cleaning system can be pressurized or otherwise powered by the gas cleaning system or other gas system.

Abstract: The present disclosure provides a sensor cleaning system that cleans one or more sensors of an autonomous vehicle. Each sensor can have one or more corresponding sensor cleaning units that are configured to clean such sensor using a fluid (e.g., a gas or a liquid). Thus, the sensor cleaning system can include both a gas cleaning system and a liquid cleaning system. According to one aspect, the sensor cleaning system can provide individualized cleaning of the autonomous vehicle sensors. According to another aspect, a liquid cleaning system can be pressurized or otherwise powered by the gas cleaning system or other gas system.

Abstract: The present disclosure provides a sensor cleaning system that cleans one or more sensors of an autonomous vehicle. Each sensor can have one or more corresponding sensor cleaning units that are configured to clean such sensor using a fluid (e.g., a gas or a liquid). Thus, the sensor cleaning system can include both a gas cleaning system and a liquid cleaning system. According to one aspect, the sensor cleaning system can provide individualized cleaning of the autonomous vehicle sensors. According to another aspect, a liquid cleaning system can be pressurized or otherwise powered by the gas cleaning system or other gas system.

Abstract: A vehicle sensor mounting system includes a tubular bridge structure that spans across the width of the vehicle roof and attaches to existing rooftop anchor points. The mounting system allows camera sensors to have full field-of-view coverage while being as close to the vehicle body as possible to reduce parallax, and not being occluded by the vehicle body or mounting system. The mounting system also allows the cameras to be co-axial with a LiDAR sensor and to minimize parallax. The mounting system has a minimum natural frequency that reduces road vibrations, allowing the sensors to remain in a stable mounting position and minimizes the motion of the sensors relative to the vehicle chassis to reduce misalignment errors in the sensor data. The mounting system includes a front and rear assembly. The rear assembly includes a cable hub assembly that provides a single ingress/egress point for a multi-conductor sensor cable.

Abstract: The present disclosure provides a sensor cleaning system that cleans one or more sensors of an autonomous vehicle. Each sensor can have one or more corresponding sensor cleaning units that are configured to clean such sensor using a fluid (e.g., a gas or a liquid). Thus, the sensor cleaning system can include both a gas cleaning system and a liquid cleaning system. According to one aspect, the sensor cleaning system can provide individualized cleaning of the autonomous vehicle sensors. According to another aspect, a liquid cleaning system can be pressurized or otherwise powered by the gas cleaning system or other gas system.

Abstract: The present disclosure provides a sensor cleaning system that cleans one or more sensors of an autonomous vehicle. Each sensor can have one or more corresponding sensor cleaning units that are configured to clean such sensor using a fluid (e.g., a gas or a liquid). Thus, the sensor cleaning system can include both a gas cleaning system and a liquid cleaning system. According to one aspect, the sensor cleaning system can provide individualized cleaning of the autonomous vehicle sensors. According to another aspect, a liquid cleaning system can be pressurized or otherwise powered by the gas cleaning system or other gas system.

Abstract: The present disclosure provides a sensor cleaning system that cleans one or more sensors of an autonomous vehicle. Each sensor can have one or more corresponding sensor cleaning units that are configured to clean such sensor using a fluid (e.g., a gas or a liquid). Thus, the sensor cleaning system can include both a gas cleaning system and a liquid cleaning system. According to one aspect, the sensor cleaning system can provide individualized cleaning of the autonomous vehicle sensors. According to another aspect, a liquid cleaning system can be pressurized or otherwise powered by the gas cleaning system or other gas system.

Abstract: An image capture device can include one or more image sensors and one or more image processors. The image sensor(s) can be configured to detect incoming light provided incident to a surface of each image sensor, each image sensor configured to provide full image frames of image capture data at a first resolution. The image processor(s) can be coupled to the image sensor(s) and configured to receive the image capture data at the first resolution, downsample the image capture data outside one or more regions of interest, and provide a digital image output having a second resolution within the one or more regions of interest and a third resolution outside the one or more regions of interest, wherein the third resolution is less than the second resolution.

Abstract: The present disclosure provides a sensor cleaning system that cleans one or more sensors of an autonomous vehicle. Each sensor can have one or more corresponding sensor cleaning units that are configured to clean such sensor using a fluid (e.g., a gas or a liquid). Thus, the sensor cleaning system can include both a gas cleaning system and a liquid cleaning system. According to one aspect, the sensor cleaning system can provide individualized cleaning of the autonomous vehicle sensors. According to another aspect, a liquid cleaning system can be pressurized or otherwise powered by the gas cleaning system or other gas system.

Abstract: The present disclosure provides a sensor cleaning system that cleans one or more sensors of an autonomous vehicle. Each sensor can have one or more corresponding sensor cleaning units that are configured to clean such sensor using a fluid (e.g., a gas or a liquid). Thus, the sensor cleaning system can include both a gas cleaning system and a liquid cleaning system. According to one aspect, the sensor cleaning system can provide individualized cleaning of the autonomous vehicle sensors. According to another aspect, a liquid cleaning system can be pressurized or otherwise powered by the gas cleaning system or other gas system.

Abstract: An image capture device can include one or more image sensors and one or more image processors. The image sensor(s) can be configured to detect incoming light provided incident to a surface of each image sensor, each image sensor configured to provide full image frames of image capture data at a first resolution. The image processor(s) can be coupled to the image sensor(s) and configured to receive the image capture data at the first resolution, downsample the image capture data outside one or more regions of interest, and provide a digital image output having a second resolution within the one or more regions of interest and a third resolution outside the one or more regions of interest, wherein the third resolution is less than the second resolution.

Abstract: An arrangement for the optical evaluation of harvested crop in a harvesting machine includes a camera located for taking images of threshed out crop elements (grain and material other than grain) being conveyed within a channel of the machine. An electronic image processing system receives the images and identifies individual objects in the images, these objects being classified into predetermined object classes by way of comparing at least one of color, contour or texture features of the individual objects and corresponding characteristics of reference objects filed in a data bank. The processing system then determines the absolute or relative numbers or areas of the individual objects assigned to the respective object classes.

Abstract: An arrangement for the optical evaluation of harvested crop in a harvesting machine includes a camera located for taking images of threshed out crop elements (grain and material other than grain) being conveyed within a channel of the machine. An electronic image processing system receives the images and identifies individual objects in the images, these objects being classified into predetermined object classes by way of comparing at least one of color, contour or texture features of the individual objects and corresponding characteristics of reference objects filed in a data bank. The processing system then determines the absolute or relative numbers or areas of the individual objects assigned to the respective object classes.

Abstract: Embodiments of the invention relate to a method for minimizing the influence of disturbing signals during calculation of shape elements from coordinate points. An aim of the embodiments of the invention is to exclude the coordinates which are not to be locally assigned to the desired shaped element from the calculation of the shaped element. Said aim is achieved by combining compensation methods for calculating the desired type of shaped element with recognition methods for the same type of shaped element and using the recognition methods for filtering the coordinate points that are relevant for calculating the shaped element out of all input coordinate points.

Abstract: Embodiments of the invention relate to a method for minimizing the influence of disturbing signals during calculation of shape elements from coordinate points. An aim of the embodiments of the invention is to exclude the coordinates which are not to be locally assigned to the desired shaped element from the calculation of the shaped element. Said aim is achieved by combining compensation methods for calculating the desired type of shaped element with recognition methods for the same type of shaped element and using the recognition methods for filtering the coordinate points that are relevant for calculating the shaped element out of all input coordinate points.

Abstract: Embodiments of the invention relate to a method for minimizing the influence of disturbing signals during calculation of shape elements from coordinate points. An aim of the embodiments of the invention is to exclude the coordinates which are not to be locally assigned to the desired shaped element from the calculation of the shaped element. This aim is achieved by combining compensation methods for calculating the desired type of shaped element with recognition methods for the same type of shaped element and using the recognition methods for filtering the coordinate points that are relevant for calculating the shaped element out of all input coordinate points.

Abstract: Embodiments of the invention relate to a method for minimizing the influence of disturbing signals during calculation of shape elements from coordinate points. An aim of the embodiments of the invention is to exclude the coordinates which are not to be locally assigned to the desired shaped element from the calculation of the shaped element. Said aim is achieved by combining compensation methods for calculating the desired type of shaped element with recognition methods for the same type of shaped element and using the recognition methods for filtering the coordinate points that are relevant for calculating the shaped element out of all input coordinate points.

Abstract: A method for determining the edge position in color images, particularly for color transitions and intensity transitions is disclosed. In accordance with the method, the edge locations found in the total image or in individual color extracts coincide as closely as possible. Further, every color value F is changed to a vector representation {overscore (OFi)} proceeding from a selected point O of the color space F to determine the edge location K, and in that the transition from a color FL at the left of edge K to a color FR at the right of edge K is determined in order to determine the edge position along a given sampling direction by means of a method based on the vector representation {overscore (OFi)}. The method according to the invention is directed for determining the edge position in color images, particularly with detection of color transitions and intensity transitions in color space F.