Abstract: A powertrain, a control method, and a hybrid electric vehicle. The powertrain includes a motor controller unit and a motor. The motor controller unit includes N bridge arms, and the motor includes N motor windings corresponding to the N bridge arms. Each of the N bridge arms includes a first end and a second end, the first end of each bridge arm is connected to a positive bus, the second end of each bridge arm is connected to a negative bus, a midpoint of each bridge arm is connected to one end of one motor winding, the other end of each of the N motor windings is connected to one end of a power battery, and the other end of the power battery is connected to the positive bus or the negative bus.

Abstract: An intelligent experimental device for collaborative mining of associated resources includes a signal transmission mechanism, a pressure maintaining mechanism, a feeding mechanism, and a reaction mechanism. The signal transmission mechanism includes a centralized controller, an annunciator, signal receivers, a power supply, a power cord, signal transmitters, and signal sensing valves. The pressure maintaining mechanism includes ambient and axial pressure oil chambers, ambient and axial pressure pumps, ambient and axial pressure liquid distribution tanks, a comprehensive pressure distribution pipe, and hydraulic transmission pipes. The feeding mechanism includes monitoring analyzers, temperature controllers, solution transfer pipes, seepage pumps, mixture conveying pipes, a comprehensive liquid distributor, an aggregate chamber, a liquid chamber, an oil chamber, a gas chamber, a mixing chamber and an analytical purifier.

Abstract: A method for stabilizing fluorides and arsenic in soil includes: step 1, adding a calcium-containing compound to the soil contaminated by fluorides and arsenic, stirring uniformly, and standing for curing; step 2, adding an iron-containing compound to the mixture obtained in step 1, stirring uniformly, and standing for curing; and step 3, adding water to the mixture obtained in step 2, optionally adding a pH adjusting agent to adjust the gravimetric water content to 30%-40%, and standing for curing. The method uses calcium-containing and iron-containing compounds in a step-by-step manner, makes full use of the advantages of different passivation materials, combines the advantages of all reagents, and establishes an economical, efficient and environmentally friendly method for stabilizing fluorides and arsenic in soil to achieve effective remediation of contaminated soil.

Abstract: A method for stabilizing fluorides and arsenic in soil includes: step 1, adding a calcium-containing compound to the soil contaminated by fluorides and arsenic, stirring uniformly, and standing for curing; step 2, adding an iron-containing compound to the mixture obtained in step 1, stirring uniformly, and standing for curing; and step 3, adding water to the mixture obtained in step 2, optionally adding a pH adjusting agent to adjust the gravimetric water content to 30%-40%, and standing for curing. The method uses calcium-containing and iron-containing compounds in a step-by-step manner, makes full use of the advantages of different passivation materials, combines the advantages of all reagents, and establishes an economical, efficient and environmentally friendly method for stabilizing fluorides and arsenic in soil to achieve effective remediation of contaminated soil.

Abstract: A road region detection method is provided. The method includes: obtaining a first image captured by a camera at a first time point and a second image captured by the camera at a second time point (S101), converting the first and second images into a first top view and a second top view, respectively (S103), obtaining a movement vector matrix which substantially represents movement of a road region relative to the camera between the first and second time points (S105), and determining whether a candidate point belongs to the road region by determining whether a position change of the candidate point between the first and second top views conforms to the movement vector matrix. The accuracy and efficiency may be improved.

Abstract: The present application provides pedestrian detection system and method. A pedestrian detection method includes obtaining an image captured by a camera, and identifying a pedestrian candidate in the image. According to the method, the pedestrian candidate is confirmed by transforming the image into a top view image, calculating the actual height of the pedestrian candidate based on the top view image and extrinsic parameters of the camera, and determining whether the actual height of the pedestrian candidate is within a predetermined pedestrian height range.

Abstract: A method and a system for traffic light detection are provided. The method may include: obtaining a color image; calculating pixel response values for pixels of the color image, respectively, where each of the pixel response values may be calculated using R, G, and B values of a corresponding pixel directly, such that pixel response values of red traffic light pixels are substantially distributed on a first side of a predetermined range and pixel response values of green traffic light pixels are substantially distributed on a second side of the predetermined range which is opposite to the first side; identifying pixels whose pixel response values are distributed on the first side or the second side as candidate pixels; identifying candidate blobs based on the candidate pixels; and verifying whether the candidate blobs are traffic lights. Efficiency and reliability may be improved.

Abstract: A moving objects detection method is disclosed. The method may include: identifying a plurality of feature points based on a plurality of video frames; selecting from the plurality of feature points to form a first and a second groups of feature points based on correlations between the plurality of feature points; and identifying in at least one video frame two segments based on the first and the second groups of feature points, respectively, as detected moving objects, where a correlation between two feature points may include a distance component and a movement difference component, where the distance component is related to a distance between the two feature points, and the movement difference component is related to a difference between corresponding movements of the two feature points. A moving objects detection system is also provided.

Abstract: A method for detecting traffic lights is provided. The method includes: obtaining a color image captured by a camera; converting the color image into a first monochrome scale image; converting the first monochrome scale image into a first binary image; identifying a first set of candidate blobs in the first binary image based on at least one predetermined geometric parameter; and determine whether a first region in the color image, which first region corresponds to one of the first set of candidate blobs, is a green traffic light using a green traffic light classifier. The accuracy and efficiency may be improved.

Abstract: The present application provides an obstacle detection system and method thereof. The obstacle detection method comprises: obtaining a first image captured by a camera at a first time point; identifying a vertical edge candidate in the first image, and measuring a first length of the vertical edge candidate based on the first image; obtaining a second image captured by the camera at a second time point; measuring a second length of the vertical edge candidate based on the second image; calculating a difference between the first length and the second length; and comparing the difference with a predetermined length difference threshold, if the difference is greater than the length difference threshold, outputting a message that an obstacle is found.

Abstract: A method and a system for traffic light detection are provided. The method may include: obtaining a color image; calculating pixel response values for pixels of the color image, respectively, where each of the pixel response values may be calculated using R, G, and B values of a corresponding pixel directly, such that pixel response values of red traffic light pixels are substantially distributed on a first side of a predetermined range and pixel response values of green traffic light pixels are substantially distributed on a second side of the predetermined range which is opposite to the first side; identifying pixels whose pixel response values are distributed on the first side or the second side as candidate pixels; identifying candidate blobs based on the candidate pixels; and verifying whether the candidate blobs are traffic lights. Efficiency and reliability may be improved.

Abstract: A method for moving object detection is provided. The method includes: obtaining a first image captured by a monocular camera at a first time point and a second image captured by the monocular camera at a second time point (S101); calculating dense optical flows based on the first and second images (S105); and identifying a moving object based on the calculated dense optical flows (S107 and S109). Since the moving object detection method is based on dense optical flows and the monocular camera, both high detection accuracy and low cost can be achieved.

Abstract: A road region detection method is provided. The method includes: obtaining a first image captured by a camera at a first time point and a second image captured by the camera at a second time point (S101), converting the first and second images into a first top view and a second top view, respectively (S103), obtaining a movement vector matrix which substantially represents movement of a road region relative to the camera between the first and second time points (S105), and determining whether a candidate point belongs to the road region by determining whether a position change of the candidate point between the first and second top views conforms to the movement vector matrix. The accuracy and efficiency may be improved.

Abstract: A moving objects detection method is disclosed. The method may include: identifying a plurality of feature points based on a plurality of video frames; selecting from the plurality of feature points to form a first and a second groups of feature points based on correlations between the plurality of feature points; and identifying in at least one video frame two segments based on the first and the second groups of feature points, respectively, as detected moving objects, where a correlation between two feature points may include a distance component and a movement difference component, where the distance component is related to a distance between the two feature points, and the movement difference component is related to a difference between corresponding movements of the two feature points. A moving objects detection system is also provided.

Abstract: The present application provides pedestrian detection system and method. A pedestrian detection method includes: obtaining an image captured by a camera; identifying a pedestrian candidate in the image; transforming the image into a top view image; calculating the actual height of the pedestrian candidate based on the top view image and extrinsic parameters of the camera; and determining whether the pedestrian candidate is a true positive by determining whether the actual height of the pedestrian candidate is within a predetermined pedestrian height range. The system and method of the present application have lower cost and higher accuracy compared with conventional technologies.

Abstract: A method for detecting traffic lights is provided. The method includes: obtaining a color image captured by a camera; converting the color image into a first monochrome scale image; converting the first monochrome scale image into a first binary image; identifying a first set of candidate blobs in the first binary image based on at least one predetermined geometric parameter; and determine whether a first region in the color image, which first region corresponds to one of the first set of candidate blobs, is a green traffic light using a green traffic light classifier. The accuracy and efficiency may be improved.

Abstract: The present application provides an obstacle detection system and method thereof. The obstacle detection method comprises: obtaining a first image captured by a camera at a first time point; identifying a vertical edge candidate in the first image, and measuring a first length of the vertical edge candidate based on the first image; obtaining a second image captured by the camera at a second time point; measuring a second length of the vertical edge candidate based on the second image; calculating a difference between the first length and the second length; and comparing the difference with a predetermined length difference threshold, if the difference is greater than the length difference threshold, outputting a message that an obstacle is found.