Abstract: The present disclosure relates to a method for determining position and orientation of a visual sensor and within an environment. The method comprises acquiring a training set of visual data of the environment and an object arranged therein, training an interpolation neural network for estimating one or more synthetic poses using the first set of visual data, and training a convolutional neural network with the first set of visual data. The method comprises acquiring an inspection set of visual data of the environment and an object arranged therein, estimating a coarse pose with the convolutional neural network, and predicting a synthetic image associated with the coarse pose with the interpolation neural network. The method may be performed with data obtained from non-visual sensors.

Abstract: Systems and methods of an electronic drug delivery system for use in a treatment program (e.g., a smoking cessation program). The delivery system can include a mobile platform and a hand-held inhalation delivery device having a controller circuit coupled to a power source, sensors, aerosolizer drivers, and a rescue button, and a pod removably coupled to the delivery device. The delivery system generates an aerosol mixture from substances in the pod in accordance with the treatment program, and delivers the aerosol mixture for inhalation by a user. The controller circuit individually and dynamically controls the aerosolizer drivers to generate signals that drive a plurality of thermal, or non-thermal, aerosolizers of the pod to generate individually tailored aerosol mixtures from multiple substances in the aerosolizer pod. The generated aerosol mixtures can have various percentages of the substances, and have different aerosol droplet sizes during different portions of the treatment program.

Abstract: An inspection apparatus includes multiple sensors (including a visual sensor and one or more additional sensor(s), such as an optical gas imager and an anemometer), a real-time clock, and an inertial measurement unit, the sensors having central observation axes aligned in parallel, with the sensors and real-time clock (and optionally a location module) configured to generate data points from multiple poses of the inspection apparatus relative to an observed object. A method for operating an inspection apparatus includes obtaining data by sweeping the inspection apparatus across a region in parallel paths and circumscribing the region, time-stamping and/or attributing location coordinates to the data, correcting for positional offset of the sensors, collocating visual sensor data with data from other sensor(s), generating a point cloud and a 3D texture of the visual data, and generating a textured 3D model.