Abstract: A system for automatically adjusting a baseline of an imaging system for stereoscopic imaging and methods for making and using same. The imaging system includes a plurality of imaging devices that cooperate via a baseline adjustment mechanism. The imaging devices can acquire images of an object of interest and ascertain an object distance between the stereoscopic imaging system and the object of interest using triangulation. Based on the object distance, the baseline adjustment mechanism automatically adjusts a baseline between any pair of imaging devices. The baseline can be reduced when the object of interest is proximate to the imaging system and can be increased when the object of interest is distal. Once the baseline has been adjusted, one or more extrinsic parameters of the imaging devices are calibrated using a two-step optimization method. The imaging system is suitable for use aboard a mobile platform such as an unmanned aerial vehicle.

Abstract: A method for in-line sensor calibration are provided, comprising: obtaining sensor data from a plurality of sensors of different types coupled to an unmanned aerial vehicle (UAV) while the UAV is in flight, wherein the plurality of sensors have an initial spatial configuration relative to one another; detecting, with aid of a processor, a change in a spatial configuration of the plurality of sensors relative to one another from the initial spatial configuration to a subsequent spatial configuration, based on the sensor data; determining the subsequent spatial configuration; and adjusting data, while the UAV is in flight, from at least one of the plurality of sensors based on the subsequent spatial configuration. The disclosure also relates to an apparatus for sensor calibration.

Abstract: Systems, methods, and devices are provided herein for detecting and tracking one or more movable objects. A method for supporting visual tracking may be provided. The method may comprise: receiving a plurality of image frames captured at different times using an imaging device, wherein each image frame comprises a plurality of pixels that are associated with a plurality of feature points; analyzing the plurality of image frames to compute movement characteristics of the plurality of feature points; and identifying at least one tracking feature relative to at least one background feature based on the movement characteristics of the plurality of feature points.

Abstract: Systems, methods, and devices are provided for providing flight response to flight-restricted altitudes. The altitude of an unmanned aerial vehicle (UAV) may be compared with an altitude restriction. If needed a flight-response measure may be taken by the UAV to prevent the UAV from flying in a restricted altitude. The altitude measurement of the UAV and/or altitude restriction of the UAV may be modified for improved performance. Different flight-response measures may be taken depending on preference and the rules of a jurisdiction within which the UAV falls.

Abstract: Systems and methods for obstacle detection and state information determination are provided. In some embodiments, a movable object may carry one or more imaging devices. The imaging devices may be arranged on the movable object so as to have a field of view oriented vertically relative to the movable object. The arrangement of the imaging device may complement or supplant existing arrangement schemes and provide efficient, multi-functional and cost-effective means of arranging imaging devices on movable objects.

Abstract: Systems, methods, and devices are provided for providing flight response to flight-restricted altitudes. The altitude of an unmanned aerial vehicle (UAV) may be compared with an altitude restriction. If needed a flight-response measure may be taken by the UAV to prevent the UAV from flying in a restricted altitude. The altitude measurement of the UAV and/or altitude restriction of the UAV may be modified for improved performance. Different flight-response measures may be taken depending on preference and the rules of a jurisdiction within which the UAV falls.

Abstract: Systems, methods, and devices are provided for providing flight response to flight-restricted altitudes. The altitude of an unmanned aerial vehicle (UAV) may be compared with an altitude restriction. If needed a flight-response measure may be taken by the UAV to prevent the UAV from flying in a restricted altitude. The altitude measurement of the UAV and/or altitude restriction of the UAV may be modified for improved performance. Different flight-response measures may be taken depending on preference and the rules of a jurisdiction within which the UAV falls.

Abstract: Multi-feature image haze removal is described. In one or more implementations, feature maps are extracted from a hazy image of a scene. The feature maps convey information about visual characteristics of the scene captured in the hazy image. Based on the feature maps, portions of light that are not scattered by the atmosphere and are captured to produce the hazy image are computed. Additionally, airlight of the hazy image is ascertained based on at least one of the feature maps. The calculated airlight represents constant light of the scene. Using the computed portions of light and the ascertained airlight, a dehazed image is generated from the hazy image.

Abstract: Multi-feature image haze removal is described. In one or more implementations, feature maps are extracted from a hazy image of a scene. The feature maps convey information about visual characteristics of the scene captured in the hazy image. Based on the feature maps, portions of light that are not scattered by the atmosphere and are captured to produce the hazy image are computed. Additionally, airlight of the hazy image is ascertained based on at least one of the feature maps. The calculated airlight represents constant light of the scene. Using the computed portions of light and the ascertained airlight, a dehazed image is generated from the hazy image.