Abstract: The invention provides a curved-slit imaging spectrometer, wherein a fiber bundle transfers a straight line image of a front objective lens to a curved slit, and the front objective lens doesn't need to have a curved image plane to directly abut the spectrometer, so that the system is less complicated, and the front objective lens and spectrometer have a simple structure. The arc-shaped or approximately arc-shaped curved slit matches the optimum imaging circle of the Offner-type spectrometer, thereby achieving an extra-long slit. The arced slit is 5 to 10 times longer than the straight slit of the classical Offner-type spectrometer. In the case of a compact size, the length of the slit can be greater than 100 mm. Also, the same spectral response function applies in different fields of view while presenting desirable imaging quality.

Abstract: A fast assembly method of an Offner spectral imaging optical system. The Offner spectral imaging optical system is a concentric or nearly concentric optical system, that is, its primary mirror (7), convex grating (5) and three-mirror (8) are all spherical, and respective centers of curvature coincide or basically coincide. Based on the self-collimation principle, the invention quickly determines the position of the center of curvature of the spherical mirror by observing the self-collimation image after the point light source is reflected by the spherical mirror. The assembly and adjustment method provided by the invention has the characteristics of fast assembly and adjustment speed, high precision, low requirements for assembly and adjustment environment and low required equipment cost, and can quickly and effectively complete the assembly and adjustment of the Offner spectral imaging optical system.

Abstract: The invention provides a curved-slit imaging spectrometer, wherein a fiber bundle transfers a straight line image of a front objective lens to a curved slit, and the front objective lens doesn't need to have a curved image plane to directly abut the spectrometer, so that the system is less complicated, and the front objective lens and spectrometer have a simple structure. The arc-shaped or approximately arc-shaped curved slit matches the optimum imaging circle of the Offner-type spectrometer, thereby achieving an extra-long slit. The arced slit is 5 to 10 times longer than the straight slit of the classical Offner-type spectrometer. In the case of a compact size, the length of the slit can be greater than 100 mm. Also, the same spectral response function applies in different fields of view while presenting desirable imaging quality.

Abstract: A wearable device interaction method, a wearable device interaction apparatus, a wearable device, and a storage medium are provided. The method is implemented by the wearable device. The wearable device includes a touch screen and does not include a physical button. When the touch screen displays a non-primary interface, a touch-control operation acting on the touch screen is detected, and when the touch-control operation acting on the touch screen is detected to satisfy a target condition, the touch screen is switched from displaying the non-primary interface to displaying a primary interface.

Abstract: The present invention provides an on-chip integrated cell phone spectrometer and a cell phone. The spectrometer includes: a detection system, including a cell phone lens and a focal plane detector integrated with a Bayer filter; and a spectral filter array, integrated at an edge of the Bayer filter, the spectral filter array including a plurality of filtering channels with different spectral transmittances, each filtering channel corresponding to one or more detector pixels, where the cell phone lens is configured to acquire a reflected light from an object under test, the focal plane detector is configured to acquire an intensity signal of the reflected light, and after different intensity signals corresponding to different filtering channels are obtained, a data processing system performs spectral reconstruction to obtain spectral data of the object under test.

Abstract: A compact, catadioptric and athermal imaging spectrometer is disclosed. A telecentric light (1) incident from a slit (2) is folded or refracted by an object-side prism (3) to enter a plano-convex lens (4); after being refracted by the plano-convex lens (4) and a meniscus lens (5), and refracted and reflected by a thick catadioptric lens (6), said telecentric light is incident onto a convex grating (7) in the form of a convergent beam; and after said beam is diffracted, spectral division is implemented. The divergent beam is sequentially refracted and reflected by the thick catadioptric lens (6), and refracted by the meniscus lens (5) and the plano-convex lens (4) to enter an image-side prism (8). Said beam is folded or refracted and filtered, and imaged on a focal plane (10) to realize spectral imaging.

Abstract: In one embodiment, example systems and methods related to a manner of unifying heterogeneous datasets are provided. Multiple heterogeneous datasets containing traffic or driving data are collected. The records of the datasets are combined, and the records in the combined dataset are ordered into a plurality of time series based on timestamps associated with each record. A Bayesian learning method, such as hidden Markov models, is used to identify traffic primitives in the datasets. Each traffic primitive may include several consecutive records in the combined dataset and may correspond to particular driving actions such as turning left or right, stopping, accelerating, etc. The traffic primitives are used to create a traffic primitive index that can be queried by users or researchers for specific records. These records can be used to train or test one or more learning-based algorithms.

Abstract: A fast assembly method of an Offner spectral imaging optical system. The Offner spectral imaging optical system is a concentric or nearly concentric optical system, that is, its primary mirror (7), convex grating (5) and three-mirror (8) are all spherical, and respective centers of curvature coincide or basically coincide. Based on the self-collimation principle, the invention quickly determines the position of the center of curvature of the spherical mirror by observing the self-collimation image after the point light source is reflected by the spherical mirror. The assembly and adjustment method provided by the invention has the characteristics of fast assembly and adjustment speed, high precision, low requirements for assembly and adjustment environment and low required equipment cost, and can quickly and effectively complete the assembly and adjustment of the Offner spectral imaging optical system.

Abstract: A compact, catadioptric and athermal imaging spectrometer is disclosed. A telecentric light (1) incident from a slit (2) is folded or refracted by an object-side prism (3) to enter a plano-convex lens (4); after being refracted by the plano-convex lens (4) and a meniscus lens (5), and refracted and reflected by a thick catadioptric lens (6), said telecentric light is incident onto a convex grating (7) in the form of a convergent beam; and after said beam is diffracted, spectral division is implemented. The divergent beam is sequentially refracted and reflected by the thick catadioptric lens (6), and refracted by the meniscus lens (5) and the plano-convex lens (4) to enter an image-side prism (8). Said beam is folded or refracted and filtered, and imaged on a focal plane (10) to realize spectral imaging.

Abstract: In one embodiment, example systems and methods related to a manner of unifying heterogeneous datasets are provided. Multiple heterogeneous datasets containing traffic or driving data are collected. The records of the datasets are combined, and the records in the combined dataset are ordered into a plurality of time series based on timestamps associated with each record. A Bayesian learning method, such as hidden Markov models, is used to identify traffic primitives in the datasets. Each traffic primitive may include several consecutive records in the combined dataset and may correspond to particular driving actions such as turning left or right, stopping, accelerating, etc. The traffic primitives are used to create a traffic primitive index that can be queried by users or researchers for specific records. These records can be used to train or test one or more learning-based algorithms.