Abstract: A multicolor electrochromic structure comprises a working electrode, an electrolyte and an auxiliary electrode. The electrolyte is distributed between the working electrode and the auxiliary electrode. The working electrode comprises an electrochromic layer which comprises a first reflective surface and a second reflective surface arranged face to face in parallel. A dielectric layer is arranged between the first and the second reflective surface. The first and the second reflective surfaces and the dielectric layer form an optical cavity. The dielectric layer is fabricated by an electrochromic material. The multicolor electrochromic structure can combine a structural color with electrochromism to display various color changes; it features a simple structure, low costs and a wide application prospect, and it is easy to be fabricated.

Abstract: A multicolor electrochromic structure comprises a working electrode, an electrolyte and an auxiliary electrode. The electrolyte is distributed between the working electrode and the auxiliary electrode. The working electrode comprises an electrochromic layer which comprises a first reflective surface and a second reflective surface arranged face to face in parallel. A dielectric layer is arranged between the first and the second reflective surfaces. The first and the second reflective surfaces and the dielectric layer form an optical cavity. The dielectric layer is fabricated by an electrochromic material. The multicolor electrochromic structure can combine a structural color with electrochromism to display various color changes; it features a simple structure, low costs and a wide application prospect, and it is easy to be fabricated.

Abstract: The disclosure discloses an anti-haze anti-harmful gas air filter membrane as well as a preparation method and application thereof. The air filter membrane comprises a nano fiber membrane made of nano fibers and having a two-dimensional or three-dimensional network structure. The nano fiber membrane can be a high-molecular polymer nano fiber membrane prepared by utilizing an electrostatic spinning process, and can also be doped with an organic or inorganic additive capable of adsorbing and absorbing harmful gases, such as VOCs, NOx, SOx and NH3, in the air and/or a photocatalyst capable of degrading these harmful gases in a photocatalysis manner, or the like. The anti-haze anti-harmful gas air filter membrane disclosed by the disclosure can efficiently filter PM2.5 and PM10 particulate pollutants and the like in the air and simultaneously can efficiently identify and clear multiple harmful gases in the air.

Abstract: Cross traffic alert system for a host vehicle engaged in a forward or reverse gear position, includes an object detection sensor configured to detect relative positions of a plurality of target objects present in a coverage zone proximate the vehicle, and a processor for receiving the target positional data, detecting established environmental states based on the received data, and classifying a driving environment (e.g., road, parking lot, etc.) based on the detection or not of established environmental states. Threshold alert areas are dynamically adjustable in the coverage zones based on the classified driving environment, where indications of targets in the alert areas may be generated.

Abstract: A multicolor electrochromic structure comprises a working electrode, an electrolyte and an auxiliary electrode. The electrolyte is distributed between the working electrode and the auxiliary electrode. The working electrode comprises an electrochromic layer which comprises a first reflective surface and a second reflective surface arranged face to face in parallel. A dielectric layer is arranged between the first and the second reflective surface. The first and the second reflective surfaces and the dielectric layer form an optical cavity. The dielectric layer is fabricated by an electrochromic material. The multicolor electrochromic structure can combine a structural color with electrochromism to display various color changes; it features a simple structure, low costs and a wide application prospect, and it is easy to be fabricated.

Abstract: The disclosure discloses an anti-haze anti-harmful gas air filter membrane as well as a preparation method and application thereof. The air filter membrane comprises a nano fiber membrane made of nano fibers and having a two-dimensional or three-dimensional network structure. The nano fiber membrane can be a high-molecular polymer nano fiber membrane prepared by utilizing an electrostatic spinning process, and can also be doped with an organic or inorganic additive capable of adsorbing and absorbing harmful gases, such as VOCs, NOx, SOx and NH3, in the air and/or a photocatalyst capable of degrading these harmful gases in a photocatalysis manner, or the like. The anti-haze anti-harmful gas air filter membrane disclosed by the disclosure can efficiently filter PM2.5 and PM10 particulate pollutants and the like in the air and simultaneously can efficiently identify and clear multiple harmful gases in the air.

Abstract: Systems and methods for lane change prediction, detection, and/or confirmation. In some embodiments, a vehicle yaw rate associated with a vehicle may be detected and a set of vehicle yaw rate data may be generated. A steering angle associated with the vehicle may also be detected and a set of vehicle steering angle data generated. A first filter model may be used to process the vehicle yaw rate data. The vehicle steering angle data may be used to confirm a suspected lane change. A parameter threshold may be applied to the processed vehicle yaw rate data and, upon exceeding the parameter threshold and upon confirmation of the suspected lane change from the vehicle steering angle date, a parameter of a lane change assist system of the vehicle may be adjusted.

Abstract: Methods and systems for detecting lane changes using vehicle path data. In some implementations, one or more environmental sensors, such as RADAR modules, may be used to generate a first data set associated with a trajectory of a host vehicle. The first data set may be representative of a curve on a graph. Points of inflection may be sought in the curve. An identification of a point of inflection in the curve may then be used to confirm a lane change of the host vehicle.

Abstract: A system and method for determining when a trailer is located behind a vehicle includes at least one detection device configured to detect objects located behind the vehicle and a processor. The processor is in communication with the at least one detection device and a plurality of signals generated by the vehicle. The processor receives data from the at least one detection device. The data includes a plurality of targets detected by the at least one detection device. Next, the processor determines if one or more clusters exists and clusters the targets into at least one cluster to form cluster features when one or more clusters exist. The processor determines vehicle state based on the vehicle dynamic features from the plurality of signals generated by the vehicle as well as global features from data from the at least one detection device and determines when the trailer is located behind the vehicle based on the cluster features, the vehicle state, and/or the global features.

Abstract: Systems and methods for lane change prediction, detection, and/or confirmation. In some embodiments, a vehicle yaw rate associated with a vehicle may be detected and a set of vehicle yaw rate data may be generated. A steering angle associated with the vehicle may also be detected and a set of vehicle steering angle data generated. A first filter model may be used to process the vehicle yaw rate data. The vehicle steering angle data may be used to confirm a suspected lane change. A parameter threshold may be applied to the processed vehicle yaw rate data and, upon exceeding the parameter threshold and upon confirmation of the suspected lane change from the vehicle steering angle date, a parameter of a lane change assist system of the vehicle may be adjusted.

Abstract: Methods and systems for detecting lane changes using vehicle path data. In some implementations, one or more environmental sensors, such as RADAR modules, may be used to generate a first data set associated with a trajectory of a host vehicle. The first data set may be representative of a curve on a graph. Points of inflection may be sought in the curve. An identification of a point of inflection in the curve may then be used to confirm a lane change of the host vehicle.

Abstract: A shooting method comprising the steps of: defining at least two sub-regions on a shot picture; using the at least two sub-regions as color temperature reference regions to conduct white balance adjustment and shoot photographs; determining a color temperature reference region selected on a shot photograph; and calling out a photograph obtained by shooting after white balance adjustment according to the selected color temperature reference region from the shot photographs and displaying same, so that it is realized that photographs are shot first and then white balance adjustment is conducted thereon. Although photographs are shot first and then white balance adjustment is conducted thereon, in fact, many photographs have been obtained after independent white balance adjustment is conducted when the photographs are shot. Therefore, embodiments may accurately restore a previous white balance effect in a shooting environment after the color temperature reference regions are selected afterwards.

Abstract: Cross traffic alert system for a host vehicle engaged in a forward or reverse gear position, includes an object detection sensor configured to detect relative positions of a plurality of target objects present in a coverage zone proximate the vehicle, and a processor for receiving the target positional data, detecting established environmental states based on the received data, and classifying a driving environment (e.g., road, parking lot, etc.) based on the detection or not of established environmental states. Threshold alert areas are dynamically adjustable in the coverage zones based on the classified driving environment, where indications of targets in the alert areas may be generated.

Abstract: A shooting method comprising the steps of: defining at least two sub-regions on a shot picture; using the at least two sub-regions as colour temperature reference regions to conduct white balance adjustment and shoot photographs; determining a colour temperature reference region selected on a shot photograph; and calling out a photograph obtained by shooting after white balance adjustment according to the selected colour temperature reference region from the shot photographs and displaying same, so that it is realized that photographs are shot first and then white balance adjustment is conducted thereon. Although photographs are shot first and then white balance adjustment is conducted thereon, in fact, many photographs have been obtained after independent white balance adjustment is conducted when the photographs are shot. Therefore, embodiments may accurately restore a previous white balance effect in a shooting environment after the colour temperature reference regions are selected afterwards.

Abstract: A system and method for determining when a trailer is located behind a vehicle includes at least one detection device configured to detect objects located behind the vehicle and a processor. The processor is in communication with the at least one detection device and a plurality of signals generated by the vehicle. The processor receives data from the at least one detection device. The data includes a plurality of targets detected by the at least one detection device. Next, the processor determines if one or more clusters exists and clusters the targets into at least one cluster to form cluster features when one or more clusters exist. The processor determines vehicle state based on the vehicle dynamic features from the plurality of signals generated by the vehicle as well as global features from data from the at least one detection device and determines when the trailer is located behind the vehicle based on the cluster features, the vehicle state, and/or the global features.

Abstract: Systems and methods are presented herein for improved cross-path detection between a host vehicle and a target object. In general, the cross-path angle by solving a multiple hypothesis problem characterized by independent calculations across a first plurality of time points, the multiple hypothesis problem supposing a plurality of possible cross-path angle solutions, each cross-path angle solution representing a corresponding possible trajectory for the target object. Advantageously, a cross-traffic alert or other feedback may be triggered based at least partially on whether the target object is within a region of interest, wherein the region of interest is determined at least in part based on the estimated cross-path angle. In some embodiments the cross-path angle may be determined by selecting a cross-path angle solution from the plurality of possible cross-path angle solutions which minimizes a variance between results of the independent calculations across the first plurality of time points.

Abstract: A processor operatively coupled to a speed sensor adapted to generate a measure of a longitudinal speed of a vehicle on a roadway, and to a source of a measure of yaw rate of the vehicle, provides for selecting a most likely roadway model of a plurality of different roadway models and for outputting a corresponding associated at least one curvature parameter as an estimate of curvature of the roadway, wherein the processor incorporates a plurality of curvature estimators associated with the corresponding plurality of different roadway models.

Abstract: A processor using a first Kalman filter estimates a host vehicle state from speed and yaw rate, the latter of which may be from a yaw rate sensor if speed is greater than a threshold, and, if less, from a steer angle sensor and speed. Road curvature parameters are estimated from a curve fit of a host vehicle trajectory or from a second Kalman filter for which a state variable may be responsive to a plurality of host state variables. Kalman filters may incorporate adaptive sliding windows. Curvature of a most likely road type is estimated with an interacting multiple model (IMM) algorithm using models of different road types. A road curvature fusion subsystem provides for fusing road curvature estimates from a plurality of curvature estimators using either host vehicle state, a map database responsive to vehicle location, or measurements of a target vehicle with a radar system.

Abstract: A processor operatively coupled to a speed sensor adapted to generate a measure of a longitudinal speed of a vehicle on a roadway, and to a source of a measure of yaw rate of the vehicle, provides for selecting a most likely roadway model of a plurality of different roadway models and for outputting a corresponding associated at least one curvature parameter as an estimate of curvature of the roadway, wherein the processor incorporates a plurality of curvature estimators associated with the corresponding plurality of different roadway models.

Abstract: A first Kalman filter estimates true measures of yaw rate and vehicle speed from associated noisy measures thereof generated by respective sensors in a host vehicle, and a second Kalman filter estimates therefrom parameters of a clothoid model of road curvature. Measures of range, range rate, and azimuth angle from a target state estimation subsystem, e.g. a radar system, are processed by an extended Kalman filter to provide an unconstrained estimate of the state of a target vehicle. Associated road constrained target state estimates are generated for one or more roadway lanes, and are compared—either individually or in combination—with the unconstrained estimate. If a constrained target state estimate corresponds to the unconstrained estimate, then the state of the target vehicle is generated by fusing the unconstrained and constrained estimates; and otherwise is given by the unconstrained estimate alone.