Abstract: A gesture recognizing method, an interactive method, a gesture interactive system, an electronic device, and a non-transitory computer-readable storage medium are disclosed. The gesture recognizing method includes: acquiring a plurality of groups of images taken respectively at different photographing moments for a gesture action object, wherein each group of images includes at least one pair of corresponding depth map and grayscale map; and according to the plurality of groups of images, obtaining spatial information by using the depth map in each group of images, and obtaining posture information for the gesture action object by using the grayscale map in each group of the images, to recognize a dynamic gesture change of the gesture action object. The gesture recognizing method reduces the processing time as a whole, can quickly obtain gesture recognition results, reduce the system resource occupation, and ensure the real-time gesture interaction.

Abstract: A gesture recognizing method, an interactive method, a gesture interactive system, an electronic device, and a non-transitory computer-readable storage medium are disclosed. The gesture recognizing method includes: acquiring a plurality of groups of images taken respectively at different photographing moments for a gesture action object, wherein each group of images includes at least one pair of corresponding depth map and grayscale map; and according to the plurality of groups of images, obtaining spatial information by using the depth map in each group of images, and obtaining posture information for the gesture action object by using the grayscale map in each group of the images, to recognize a dynamic gesture change of the gesture action object. The gesture recognizing method reduces the processing time as a whole, can quickly obtain gesture recognition results, reduce the system resource occupation, and ensure the real-time gesture interaction.

Abstract: An image acquisition method applied to a first electronic device, and the first electronic device includes N first cameras, N being an integer greater than or equal to 3. The image acquisition method includes: firstly, receiving, by the first electronic device, first position information from a second electronic device, the first position information being position information of eyes of a viewer of the second electronic device; then, selecting, by the first electronic device, K first cameras from the N first cameras based on the first position information, K being an integer greater than or equal to 2 and less than N; then, acquiring, by the first electronic device, images by using the K first cameras.

Abstract: The present disclosure provides an emergency valve, including: a valve body (10) comprising an emergency cavity (11), a pressure increasing cavity (12) and an inflation cavity (13) which are spaced apart from one another, wherein an extension direction of the pressure increasing cavity (12) is the same as an extension direction of the inflation cavity (13); an air inlet of the emergency cavity (11) is in communication with a train pipe (71); the pressure increasing cavity (12) is provided with a first communication port, a second communication port and a relief port; the relief port of the pressure increasing cavity (12) is located between the first communication port of the pressure increasing cavity (12) and the second communication port of the pressure increasing cavity (12); the first communication port of the pressure increasing cavity (12) is in communication with a brake cylinder (72); and the second communication port of the pressure increasing cavity (12) is in communication with the emergency cavity

Abstract: Provided is a tensor processing method, an electronic device, and a storage medium, relating to the fields of deep learning and artificial intelligence. The method includes: determining relevant information of a conversion function corresponding to each of one or more target input tensors of a first operator in a target computation graph based on computation logic of the first operator and source split states of at least part of source input tensors of the first operator; splitting each source input tensor of the first operator based on the relevant information of the conversion function corresponding to each target input tensor to obtain each target input tensor; and sending each target input tensor to a plurality of computing devices. The plurality of computing devices are configured to perform distributed parallel communication based on each target input tensor and the first operator, to obtain an output tensor of the first operator.

Abstract: The present disclosure discloses a method and system for transmitting light field data and a light field communication apparatus, wherein the light field communication apparatus can process first light field data acquired by at least one target camera corresponding to a first gaze point location and transmit the first light field data to the light field display apparatus based on the first gaze point location fed back by the light field display apparatus. The light field display apparatus may in turn perform light field display based on the first light field data on the light field display screen thereof.

Abstract: Various embodiments of the present disclosure provide a system and method for lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In the embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a camera; and a computer connected to the locating device, database, and camera, wherein the computer is adapted to: receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information form the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and generate a predicted vehicle location based on the comparison of the response map and region map.

Abstract: An emergency valve having an emergency accelerated release function, comprising: an emergency valve body, having an emergency cavity, an air inlet of the emergency cavity being in communication with a train pipe; and an inflation valve, comprising an inflation valve body, a first valve core and a second valve core, wherein the inflation valve body has a driving cavity and an inflation cavity which are spaced apart; the first valve core is movably arranged in the driving cavity and divides the driving cavity into a first driving cavity and a second driving cavity, and the second valve core is movably arranged at an air outlet of the inflation cavity, and an air inlet of the inflation cavity is in communication with a brake cylinder, the air outlet of the inflation cavity is in communication with an air inlet of the first driving cavity, and an air outlet of the first driving cavity is in communication with the emergency cavity, and the second driving cavity is in communication with an emergency chamber; wherei

Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

Abstract: Various embodiments provide a system and method for iterative lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In an embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a plurality of cameras; and a computer connected to the locating device, database, and cameras, wherein the computer is adapted to receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information from the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and iteratively generate a predicted vehicle location based on the comparison of the response map and the region map.

Abstract: An image acquisition method applied to a first electronic device, and the first electronic device includes N first cameras, N being an integer greater than or equal to 3. The image acquisition method includes: firstly, receiving, by the first electronic device, first position information from a second electronic device, the first position information being position information of eyes of a viewer of the second electronic device; then, selecting, by the first electronic device, K first cameras from the N first cameras based on the first position information, K being an integer greater than or equal to 2 and less than N; then, acquiring, by the first electronic device, images by using the K first cameras.

Abstract: A method of operating an autonomous vehicle includes detecting, based on an input received from a sensor of an autonomous vehicle that is being navigated by an on-board computer system, an occurrence of a driving event, making a determination by the on-board computer system, upon the detecting the occurrence of the driving event, whether or how to alter the path planned by the on-board computer system according to a set of rules, and performing further navigation of the autonomous vehicle based on the determination until the driving event is resolved. The driving event may include a presence of an object in a shoulder area of the road. The driving event may include accumulation of more than a certain number of vehicles behind the autonomous vehicle. The driving event may include a slow vehicle ahead of the autonomous vehicle. The driving event may include a do-not-change-lane zone is within a threshold.

Abstract: The present disclosure discloses a method and system for transmitting light field data and a light field communication apparatus, wherein the light field communication apparatus can process first light field data acquired by at least one target camera corresponding to a first gaze point location and transmit the first light field data to the light field display apparatus based on the first gaze point location fed back by the light field display apparatus. The light field display apparatus may in turn perform light field display based on the first light field data on the light field display screen thereof.

Abstract: A gesture recognizing method, an interactive method, a gesture interactive system, an electronic device, and a non-transitory computer-readable storage medium are disclosed. The gesture recognizing method includes: acquiring a plurality of groups of images taken respectively at different photographing moments for a gesture action object, wherein each group of images includes at least one pair of corresponding depth map and grayscale map; and according to the plurality of groups of images, obtaining spatial information by using the depth map in each group of images, and obtaining posture information for the gesture action object by using the grayscale map in each group of the images, to recognize a dynamic gesture change of the gesture action object. The gesture recognizing method reduces the processing time as a whole, can quickly obtain gesture recognition results, reduce the system resource occupation, and ensure the real-time gesture interaction.

Abstract: Various embodiments of the present disclosure provide a system and method for lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In the embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a camera; and a computer connected to the locating device, database, and camera, wherein the computer is adapted to: receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information form the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and generate a predicted vehicle location based on the comparison of the response map and region map.

Abstract: A system and method for proximate vehicle intention prediction for autonomous vehicles are disclosed. A particular embodiment is configured to: receive perception data associated with a host vehicle; extract features from the perception data to detect a proximate vehicle in the vicinity of the host vehicle; generate a trajectory of the detected proximate vehicle based on the perception data; use a trained intention prediction model to generate a predicted intention of the detected proximate vehicle based on the perception data and the trajectory of the detected proximate vehicle; use the predicted intention of the detected proximate vehicle to generate a predicted trajectory of the detected proximate vehicle; and output the predicted intention and predicted trajectory for the detected proximate vehicle to another subsystem.

Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

Abstract: Various embodiments of the present disclosure provide a system and method for lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In the embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a camera; and a computer connected to the locating device, database, and camera, wherein the computer is adapted to: receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information form the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and generate a predicted vehicle location based on the comparison of the response map and region map.

Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

Abstract: Various embodiments provide a system and method for iterative lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In an embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a plurality of cameras; and a computer connected to the locating device, database, and cameras, wherein the computer is adapted to receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information from the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and iteratively generate a predicted vehicle location based on the comparison of the response map and the region map.