Abstract: Embodiments of the present disclosure provide a method and a device for detecting a precision of an internal parameter of a laser radar, a related apparatus and a medium. The method may include the following steps. Point cloud data collected by the laser radar arranged on an autonomous mobile carrier travelling on a flat road is obtained. A three-dimensional scene reconstruction is performed based on the point cloud data collected to obtain a point cloud model of a three-dimensional scene. The point cloud model of the three-dimensional scene is divided to obtain the road. A thickness of the road is determined based on the point cloud data of the road. It is determined whether the internal parameter of the laser radar is precise based on the thickness of the road.

Abstract: The present disclosure describes an intelligent roadside unit and a control method thereof, comprising: a circular camera array, including a plurality of cameras for capturing images in different road directions respectively; a circular radar array, including a plurality of radars for detecting obstacle information in different road directions respectively; and a controller configured to determine whether a vehicle is approaching according to the obstacle information detected by the radars, to turn on a camera corresponding to the radar that has detected the approaching of the vehicle to capture an image, and to control the cameras corresponding to the radars that have not detected the approaching of the vehicle to be in a standby state.

Abstract: Embodiments of the present disclosure disclose a method for calibrating a relative pose, a device, and a medium. The method includes: obtaining first point cloud data of a scene collected by the laser radar in an automatic driving mobile carrier and first pose data collected by the navigation positioning system in the automatic driving mobile carrier; and determining the relative pose between the laser radar and the navigation positioning system based on the first point cloud data, the first pose data, second point cloud data pre-collected by a laser scanner in the scene and second pose data pre-collected by a positioning device in the scene.

Abstract: A method and apparatus for detecting an obstacle, an electronic device, and a storage medium. A specific implementation of the method includes: detecting, by a millimeter-wave radar, position points of candidate obstacles in front of a vehicle; detecting, by a camera, a left road boundary line and a right road boundary line of a road on which a vehicle is located; separating the position points of the candidate obstacles according to the left road boundary line and the right road boundary line of the road on which the vehicle is located, and extracting position points between the left road boundary line and the right road boundary line; projecting the position points between the left road boundary line and the right road boundary line onto an image; and detecting, based on projection points of the position points on the image, a target obstacle in front of the vehicle.

Abstract: The present disclosure provides a method and apparatus of monitoring a sensor of a driverless vehicle, a device and a storage medium, wherein the method comprises: monitoring a physical state of a to-be-monitored sensor; monitoring a data transmission state of the to-be-monitored sensor; monitoring output data of the to-be-monitored sensor, and using predetermined data to perform cross-validation for the output data; when any monitoring result gets abnormal, determining the to-be-monitored sensor as getting abnormal, and giving an alarm. The solution of the present disclosure may be applied to improve safety of the driverless vehicle.

Abstract: A method and a device for eliminating a steady-state lateral deviation and a storage medium are provided. The method includes: determining whether a vehicle travels on a straight road; collecting a lateral deviation value of the vehicle in a case that the vehicle travels on a straight road; determining whether the vehicle has the steady-state lateral deviation based on the collected lateral deviation value; and compensating the steady-state lateral deviation of the vehicle in real time based on the collected lateral deviation value in a case that the vehicle has the steady-state lateral deviation. The vehicle has the steady-state lateral deviation may run steadily, a direction of the vehicle is more accurate, self-driving safety and efficiency are improved, the sense of leftward and rightward swaying brought by a continuous deviation rectification method in the conventional art is effectively eliminated, and self-driving stability is improved.

Abstract: A decision method, device, equipment in a lane changing process and storage medium are provided. The method includes: acquiring a first planned track of a driverless vehicle for travelling to a first lane and a second planned track of the driverless vehicle for travelling to a second lane within a preset time period, in a lane changing process of the driverless vehicle; predicting a predicted track of at least one obstacle within the preset time period according to a travelling state of the obstacle, wherein the obstacle is in a preset range around the driverless vehicle; and determining a travelling motion of the driverless vehicle according to the first planned track, the second planned track and the predicted track of the obstacle.

Abstract: A method comprises: collecting first point cloud data under a static scenario around a target collecting point; building a static background mesh model under the static scenario around the target collecting point according to the first point cloud data; collecting a second point cloud data of a target frame under a dynamic scenario after a dynamic obstacle moves around the target collecting point; annotating the point cloud of dynamic obstacle in the second point cloud data corresponding to the target frame, according to the static background mesh model. Through the technical solution of the present disclosure, it is feasible to automatically annotate the point cloud of the dynamic obstacle, effectively save manpower and annotation time spent in annotating the dynamic obstacle point cloud, and thereby effectively improve the efficiency of annotating the dynamic obstacle.

Abstract: The disclosure provides a 3-dimensional reconstruction method, an electronic device and a storage medium. The method includes: obtaining an image sequence pre-collected by a camera; obtaining nominal intrinsic parameters of the camera, and preset initial values of distortion coefficients of the camera, the camera being a camera for collecting the image sequence; calculating fluctuation ranges of the distortion coefficients; performing the 3D reconstruction on the image sequence based on the nominal intrinsic parameters, the initial values of the distortion coefficients, and the fluctuation ranges of the distortion coefficients; and during the 3D reconstruction, optimizing an obtained visual point cloud and a camera pose.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for acquiring data. The method includes: receiving map data acquired by a data acquisition apparatus installed on a target unmanned aerial vehicle; recognizing an object in the map data and determining a type of the object; determining, in response to determining that the type of the object matches at least one type in a preset type sequence, a location of the at least one type in the type sequence; and sending a flight height adjusting command to the target unmanned aerial vehicle, based on the location of the at least one type in the type sequence.

Abstract: A method and apparatus for planning a travelling path, and a vehicle are provided. The method includes: determining at least one reference curve covering a first length range, and selecting a target reference curve covering the first length range from the at least one reference curve covering the first length range; extracting a curve to be adjusted covering a second length range from the target reference curve covering the first length range; processing the curve to be adjusted based on a safety parameter within the second length range, to obtain an adjusted curve; and determining a travelling path covering the first length range based on the adjusted curve and the target reference curve. The complexity of an actual traffic scene is taken into account, and a travelling path planning is not affected by the accuracy of sampling points.

Abstract: A method and apparatus for processing a driving reference line, and a vehicle are provided. The method comprises: acquiring position information of at least one obstacle in a range covered by an original driving reference line; determining a safety range parameter based on the position information of the at least one obstacle; adjusting a coefficient of a polynomial curve corresponding to the original driving reference line based on the safety range parameter, to obtain an adjusted polynomial curve; and determining an adjusted driving reference line based on the updated polynomial curve. The safety problem of the driving reference line caused by the insufficient obstacle avoidance ability of the driving reference line is solved.

Abstract: A method and apparatus for processing information are provided. A specific embodiment of the method includes: identifying at least one obstacle from a point cloud collected by a lidar during a traveling process of a vehicle; for an obstacle in the at least one obstacle, determining an appearance rate of the obstacle within a life cycle corresponding to the obstacle; determining a confidence degree of a grid region of at least one grid region based on appearance rates of obstacles in the at least one obstacle; determining a target grid region from the at least one grid region based on the confidence degree, and determining whether an obstacle detected in the target grid region is an obstacle detected for a first time; and if yes, filtering out a point cloud corresponding to the obstacle detected in the target grid region for the first time.

Abstract: Embodiments of the present disclosure provide a method and a coroutine framework for processing parallel tasks, a device, a medium and an unmanned vehicle. The method includes: switching a current coroutine to a target coroutine in response to a task switching instruction, in which, the coroutine is created at a user layer for processing a task, and the coroutine at the user layer is executed by a thread at a kernel layer; and saving context of a task processed by the current coroutine, and reading context of a task processed by the target coroutine, such that the thread at the kernel layer corresponding to the target coroutine processes the task based on the context of the target coroutine when executing the target coroutine.

Abstract: A method and apparatus for controlling an unmanned vehicle to perform route verification are disclosed. A method may include: receiving to-be-verified route information sent by a cloud server in communication connection, the to-be-verified route information including road information and expected traveling state information corresponding to a road section on a road characterized by the road information, and the expected traveling state information being used to characterize an expected traveling state of the unmanned vehicle on the corresponding road section; and performing following verification according to a set period during driving of the unmanned vehicle along the road: detecting a traveling state of the unmanned vehicle; and determining a verification result of the to-be-verified route information, based on a matching relationship between the detected traveling state and an expected traveling state corresponding to a road section of a current location in the to-be-verified route information.

Abstract: A lane changing method, device for a driverless vehicle and a computer-readable storage medium are provided. The lane changing method includes: determining candidate lanes, to which a lane changing is to be performed, based on a travelling intention of a main vehicle; screening the candidate lanes based on lane changing conditions of the candidate lanes; selecting, from the screened candidate lanes, a target lane, to which the lane changing of the main vehicle is to be performed; determining whether the lane changing of the main vehicle from a current lane to the target lane is safe; and performing the lane changing, if the lane changing is determined to be safe.

Abstract: The present disclosure provides a method and apparatus for unmanned vehicle dispatching management, a device, a storage medium and a program, which relates to autonomous driving and intelligent transportation technology in artificial intelligence. The specific implementation solution includes: receiving an unmanned vehicle dispatching request; determining, according to the unmanned vehicle dispatching request, a first task type corresponding to a first unmanned vehicle to be dispatched; generating a first order corresponding to the first unmanned vehicle, where the first order is used to indicate a driving task to be performed by the first unmanned vehicle, and a type of the driving task is the first task type; and sending the first order to the first unmanned vehicle. Through the above process, a dispatching management of unmanned vehicles is realized from the task dimension, so that there is no need to distinguish the types of unmanned vehicles.

Abstract: The present disclosure provides a driverless vehicle testing method and apparatus, a device and a storage medium, wherein the method comprises: obtaining traffic scenario data of a traffic accident happening on a real road; constructing sensor data needed by travel of the driverless vehicle according to the traffic scenario data; performing simulation of a testing scenario according to the traffic scenario data; performing test for the driverless vehicle's capability of dealing with the traffic accident according to the sensor data and testing scenario. The solution of the present disclosure may be applied to improve accuracy of testing results.

Abstract: The present application provides a vehicle fault handling method, an apparatus and a storage medium, the method includes: acquiring in real-time, by a first vehicle fault handling device, status information of a second vehicle fault handling device, where the first vehicle fault handling device is further configured to monitor a main system of a vehicle in real-time, the second vehicle fault handling device is configured to monitor a first computing device, and the first vehicle fault handling device and the main system are provided in the first computing device; determining, by the first vehicle fault handling device, whether a fault has occurred in the second vehicle fault handling device according to the status information thereof; and performing, by the first vehicle fault handling device, fault handling if a fault has occurred in the second vehicle fault handling device.

Abstract: Embodiments of the present disclosure provide a hot backup system, a hot backup method, and a computer device. The hot backup system includes a centralized management module, a master server, a slave server and a delay server. The master server is configured to receive a write instruction sent by the centralized management module, and write first data to a database of the master server based on the write instruction. The slave server is configured to perform data synchronization with the master server in real time, receive a read instruction sent by the centralized management module, and send second data read based on the read instruction to the centralized management module to cause the centralized management module to send the second data to the service server.