Systems and methods are disclosed for image signal processing. For example, method may include determining a sequence of orientation estimates based on sensor data from one or more motion sensors. The method may include receiving an image from the image sensor. The method may include filtering the sensor data with a pass band matching an operation bandwidth to the sequence of orientation estimates to obtain filtered data. The method may include invoking an electronic image stabilization module to correct the image based on the filtered data to obtain a stabilized image. The method may include storing, displaying, or transmitting an output image based on the stabilized image.

Systems and methods are disclosed for image signal processing. For example, method may include determining a sequence of orientation estimates based on sensor data from one or more motion sensors. The method may include receiving an image from the image sensor. The method may include filtering the sensor data with a pass band matching an operation bandwidth to the sequence of orientation estimates to obtain filtered data. The method may include invoking an electronic image stabilization module to correct the image based on the filtered data to obtain a stabilized image. The method may include storing, displaying, or transmitting an output image based on the stabilized image.

A sensor device is provided with a magnetic field sensitive element being positioned in a magnetic field of a magnet. The magnetic field sensitive element is configured to sense an orientation angle of the magnetic field in the range between 0° and 360° and generate a sensing signal. The electronic circuitry is configured to receive and process the sensing signal from the magnetic field sensitive element to generate an angle signal indicating the orientation angle of the magnetic field.

A sensor device is provided with a magnetic field sensitive element being positioned in a magnetic field of a magnet. The magnetic field sensitive element is configured to sense an orientation angle of the magnetic field in the range between 0° and 360° and generate a sensing signal. The electronic circuitry is configured to receive and process the sensing signal from the magnetic field sensitive element to generate an angle signal indicating the orientation angle of the magnetic field.

[Object] To accurately estimate a user's position on the basis of sensor data by preparing absolute criteria in advance.

[Solution] Provided is an information processing apparatus including: a feature extractor configured to extract a feature of first sensor data provided by a sensor carried or worn by a user; a matching unit configured to match the feature of the first sensor data and a feature of second sensor data corresponding to the first sensor data, the feature of the second sensor data being associated with given position information; and a position estimation unit configured to estimate a position of the user on the basis of a result of the matching.

[Object] To accurately estimate a user's position on the basis of sensor data by preparing absolute criteria in advance.

[Solution] Provided is an information processing apparatus including: a feature extractor configured to extract a feature of first sensor data provided by a sensor carried or worn by a user; a matching unit configured to match the feature of the first sensor data and a feature of second sensor data corresponding to the first sensor data, the feature of the second sensor data being associated with given position information; and a position estimation unit configured to estimate a position of the user on the basis of a result of the matching.

A method includes generating a non-continuous curvature end-of-row turn path for an agricultural vehicle, wherein the non-continuous curvature end-of-row turn path includes a plurality of initial segments that are curved or straight, adding at least one continuity segment between each of the plurality of initial segments, wherein the at least one continuity segment includes a clothoid segment, and the initial segments and the at least one continuity segment combine to form a continuous curvature end-of-row turn path, determining, via an iterative process, a maximum drivable speed based on a minimum speed and a target speed, and implementing the continuous end-of-row turn path at the maximum drivable speed.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

The present disclosure is to calculate an estimated position with high precision. A course estimating device 10 includes an angular velocity calculating part 30, a horizontal ground speed calculating part 70 and an estimated position calculating part 80. The angular velocity calculating part 30 measures or calculates an angular velocity of a movable body. The horizontal ground speed calculating part 70 calculates a horizontal ground speed based on an attitude angle, a ground course, and a ground ship speed of the movable body. The estimated position calculating part 80 calculates an estimated position, based on a period of time from a current time point to an estimation time point, the horizontal ground speed, and an integration operation of the angular velocity.