Abstract: Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.

Abstract: Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.

Abstract: Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.

Abstract: Implementations described and claimed herein provide systems and methods for object detection. In one implementation, thermal energy data in a long wavelength infrared band for a wide field of view is obtained. The thermal energy data is captured using at least one long wavelength infrared sensor of a sensor suite mounted to a vehicle. A foveated long wavelength infrared image is generated from the thermal energy data. The foveated long wavelength infrared image has a higher resolution concentrated in a designated region of the wide field of view and a lower resolution in a remaining region of the wide field of view. Emissivity and temperature data for the designated region is obtained by processing the foveated long wavelength infrared image. One or more features in the designated region are resolved using the emissivity and temperature data.

Abstract: A method includes determining temperature values for roadway areas ahead of a vehicle, determining lubricant state values for the roadway areas, and determining lubricant thickness values for the roadway areas. The method also includes determining a tire-road friction estimate for each of the roadway areas using the temperature values, the lubricant state values, and the lubricant thickness values, and defining a friction map that relates the tire-road friction estimates to the roadway areas. The method also includes determining a motion plan based at least in part on the friction map, and controlling the vehicle based on the motion plan.

Abstract: Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.

Abstract: A pharmaceutical solid in a prescription vial is identified from an optical property of the pharmaceutical solid using light reflected from two different light sources. For each known pharmaceutical solid, an optical property of the known pharmaceutical solid is stored. The prescription vial is illuminated with a first light source and a first image is recorded. The prescription vial is then illuminated with a second light source and a second image is recorded. The first image and the second image are processed to find an optical property of the pharmaceutical solid. The optical property found is compared to the stored optical properties. The identity of the pharmaceutical solid is determined from the comparison. The first light source and the second light source are selected to remove artifacts of the prescription bottle or to enhance or suppress two-dimensional or three-dimensional effects on the surface of the pharmaceutical solid.

Abstract: A pharmaceutical solid in a prescription vial is identified from an optical property of the pharmaceutical solid using light reflected from two different light sources. For each known pharmaceutical solid, an optical property of the known pharmaceutical solid is stored. The prescription vial is illuminated with a first light source and a first image is recorded. The prescription vial is then illuminated with a second light source and a second image is recorded. The first image and the second image are processed to find an optical property of the pharmaceutical solid. The optical property found is compared to the stored optical properties. The identity of the pharmaceutical solid is determined from the comparison. The first light source and the second light source are selected to remove artifacts of the prescription bottle or to enhance or suppress two-dimensional or three-dimensional effects on the surface of the pharmaceutical solid.

Abstract: An optical spectrometer distinguishes ambiguity between different wavelength constituent components present in incident light. A spatial filter in the spectrometer spatially filters the incident light. A dispersion system receives the spatially filtered light and disperses images of the spatial filter in a wavelength dependent fashion such that two or more wavelength-specific images at least partially overlap at a detector system. The detector system comprises a detector array and processor that detects and processes the dispersed light to remove ambiguity between one or more of the overlapping images. The detector array may detect coded aperture images associated with a coded aperture spatial filter defined by a coded aperture function, and the processor may process the detector array output signals using an analysis function that complements the coded aperture function. The detector system may filter the spatial filter images and electronically process the resulting detector array output signals.