Abstract: The present disclosure provides a method and an apparatus for object re-identification, capable of solving the problem in the related art associated with inefficiency and low accuracy of object re-identification based on multiple frames of images.

Abstract: The present disclosure provides a system, a method and an apparatus for vehicle positioning. The method includes: acquiring positioning information pre-stored in a roadside device while a vehicle is moving, the positioning information including direction information and/or position information associated with a position of the roadside device; determining a current position of the vehicle based on position information determined by a vehicle-mounted positioning device and the positioning information acquired from the roadside device.

Abstract: A method of aligning optical axes of cameras for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform by one or more autonomous vehicle driving modules execution of processing of images using the following steps comprising: calibrating intrinsic parameters of a set of cameras; extracting corner points associated with a pattern; and computing a vanishing point based on information on the extracted corner points.

Abstract: The present application provides a method, device and system for automatically fueling a vehicle. The method includes: judging, by a fueling control device of the vehicle, whether the vehicle needs to be filled with fuel; obtaining driving route information and vehicle status information of the vehicle in the case of determining that the vehicle needs to be filled with fuel; determining fuel amount to be filled according to the driving route information and the vehicle status information of the vehicle; sending a fueling request to a fueling management system; receiving a feedback message from the fueling management system, wherein the feedback message includes position information of a fueling device; and prompting the vehicle to obtain fuel offered by the fueling device indicated by the position information of the fueling device according to the fuel amount to be filled.

Abstract: Disclosed are devices and systems for an optimized sensor layout for an autonomous or semi-autonomous vehicle. In one aspect, the system includes a vehicle capable of semi-autonomous or autonomous operation. A plurality of forward-facing cameras is coupled to the vehicle and configured to have a field of view in front of the vehicle. At least three forward-facing cameras of the plurality of forward-facing cameras have different focal lengths. A right-side camera is coupled to the right side of the vehicle, the right-side camera configured to have a field of view to the right of the vehicle. A left-side camera is coupled to the left side of the vehicle, the left-side camera is configured to have a field of view to the left of the vehicle.

Abstract: A system and method for lateral vehicle detection is disclosed. A particular embodiment can be configured to: receive lateral image data from at least one laterally-facing camera associated with an autonomous vehicle; warp the lateral image data based on a line parallel to a side of the autonomous vehicle; perform object extraction on the warped lateral image data to identify extracted objects in the warped lateral image data; and apply bounding boxes around the extracted objects.

Abstract: The present disclosure relates to vehicle technology, and more particularly, to an unmanned vehicle and its sensor device and cleaning mechanism. The cleaning mechanism includes: a housing, a cleaning element, a driving component transmissively connected to the cleaning element and a control unit installed within a receiving cavity. The housing has a light transmissive element provided on a side surface thereof. The cleaning element is pivotable about one end thereof and mounted to the housing. The cleaning element, when pivoting, frictionally interacts with a surface of the light transmissive element that is away from the receiving cavity to clean the light transmissive element. The control unit is communicatively connected to the driving component for controlling the driving component.

Abstract: The present disclosure provides a method and an apparatus for image capturing control and a system for image capturing. The method includes: receiving environment information transmitted from one or more sensors; determining a current environment type based on the environment information; determining whether the current environment type is a predetermined harsh environment type; and controlling one or more Time-of-Flight (TOF) cameras to capture an image when it is determined that the current environment type is the harsh environment type.

Abstract: The present disclosure provides a method and an apparatus for sampling training data and a computer server. The method includes: inputting a video to a target detection model to obtain a detection result for each frame of image; inputting the detection results for all frames of images in the video to a target tracking model, to obtain a tracking result for each frame of image; and for each frame of image in the video: matching the detection result and the tracking result for the frame of image, and when the detection result and the tracking result for the frame of image are inconsistent with each other, determining the frame of image as a sample image to be marked, for which processing by the target detection model is not optimal.

Abstract: The present disclosure provides a method, an apparatus and a system for multi-module scheduling, capable of solving the problem associated with inconsistency in data inputted to a computing module in the multi-module scheduling technique in the related art.

Abstract: A system and method for using human driving patterns to detect and correct abnormal driving behaviors of autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to a normal driving behavior safe zone; receiving a proposed vehicle control command; comparing the proposed vehicle control command with the normal driving behavior safe zone; and issuing a warning alert if the proposed vehicle control command is outside of the normal driving behavior safe zone. Another embodiment includes modifying the proposed vehicle control command to produce a modified and validated vehicle control command if the proposed vehicle control command is outside of the normal driving behavior safe zone.

Abstract: A system and method for implementing a neural network based vehicle dynamics model are disclosed. A particular embodiment includes: training a machine learning system with a training dataset corresponding to a desired autonomous vehicle simulation environment; receiving vehicle control command data and vehicle status data, the vehicle control command data not including vehicle component types or characteristics of a specific vehicle; by use of the trained machine learning system, the vehicle control command data, and vehicle status data, generating simulated vehicle dynamics data including predicted vehicle acceleration data; providing the simulated vehicle dynamics data to an autonomous vehicle simulation system implementing the autonomous vehicle simulation environment; and using data produced by the autonomous vehicle simulation system to modify the vehicle status data for a subsequent iteration.

Abstract: The application discloses a method, system and related device of implementing vehicle automatically weighing, so as to achieve the automatically weighing of the unmanned vehicle. The method includes: controlling, by a vehicle controller, a vehicle to drive automatically and stop at a weighing position; weighing, by a weighbridge sensor, the vehicle when sensing the vehicle stopping at the weighing position, and sending weighing end information to the vehicle controller; and controlling, by the vehicle controller, the vehicle to start and leave the weighing position when receiving the weighing end information.

Abstract: Devices, systems and methods for operating a rear-facing perception system for vehicles are described. An exemplary rear-facing perception system contains two corner units and a center unit, with each of the two corner units and the center unit including a camera module and a dual-band transceiver. A method for operating the rear-facing perception system includes pairing with a control unit by communicating, using the dual-band transceiver, over at least a first frequency band, transmitting a first trigger signal to the two corner units over a second frequency band non-overlapping with the first frequency band, and switching to an active mode. In an example, the first trigger signal causes the two corner units to switch to the active mode, which includes orienting the camera modules on the center unit and the two corner units to provide an unobstructed view of an area around a rear of the vehicle.

Abstract: Disclosed are devices, systems and methods for capturing an image. In one aspect an electronic camera apparatus includes an image sensor with a plurality of pixel regions. The apparatus further includes an exposure controller. The exposure controller determines, for each of the plurality of pixel regions, a corresponding exposure duration and a corresponding exposure start time. Each pixel region begins to integrate incident light starting at the corresponding exposure start time and continues to integrate light for the corresponding exposure duration. In some example embodiments, at least two of the corresponding exposure durations or at least two of the corresponding exposure start times are different in the image.

Abstract: A system and method for semantic segmentation using hybrid dilated convolution (HDC) are disclosed. A particular embodiment includes: receiving an input image; producing a feature map from the input image; performing a convolution operation on the feature map and producing multiple convolution layers; grouping the multiple convolution layers into a plurality of groups; applying different dilation rates for different convolution layers in a single group of the plurality of groups; and applying a same dilation rate setting across all groups of the plurality of groups.

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 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 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 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 generate a predicted vehicle location based on the comparison of the response map and the region map.

Abstract: Various embodiments of the present disclosure 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: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.