Abstract: An embolic protection device includes a frame, an edge filter screen, and a plurality of supporting rods that are arranged at intervals. Each supporting rod includes a first tail end, a second tail end, and at least one head end that faces a distal end. The first tail end and the second tail end are separately connected to two opposite sides of the frame. The first tail end and the second tail end separately form a first line segment and a second line segment with the head end. The first line segment extends in a direction from the first tail end to the head end and gradually moves away from the frame, and the second line segment extends in a direction from the second tail end to the head end and gradually moves away from the frame, such that the plurality of supporting rods support the edge filter screen, which covers the plurality of supporting rods, in a direction facing away from the frame.

Abstract: A traffic lane line fitting method includes: obtaining map information for a current position of a vehicle, the map information comprising a number of traffic lanes, a road width and line point information of traffic lane lines on both sides of the vehicle; determining, from among the traffic lane lines on both sides of the vehicle, a traffic lane line on one side, consistent with the direction indicated by at least one of the following, to be a traffic lane line offset reference used for traffic lane line fitting; offsetting and generating a plurality of traffic lane lines of the vehicle on the basis of the traffic lane line offset reference; performing curve fitting on a set of line points on the generated plurality of traffic lane lines so as to obtain a corresponding traffic lane line equation.

Abstract: A method and apparatus used for extracting a feature point of an environmental target, which relate to the field of vehicles. The method comprises: acquiring the position of each corner point of an environmental target; and determining a feature point of the environmental target according to the position of each corner point of the environmental target. Thus, the problem wherein target identification is not precise may be solved, which is particularly suitable for the identification of a large target.

Abstract: A method and a system for constructing a driving coordinate system for use in the field of smart transport. The method for constructing a driving coordinate system comprises: determining the road boundary line on one side of the road on which a current vehicle is situated as a reference line for constructing a driving coordinate system; in a vehicle coordinate system, determining the reference line point having the smallest distance between the reference line and the current vehicle position as an origin point OF of the driving coordinate system; on the basis of the origin point OF, determining the road guiding line direction as the XF axis of the driving coordinate system and determining the direction relative to the road guiding line direction according to the left-hand rule as the YF axis of the driving coordinate system; and, on the basis of the origin point OF, the XF axis, and the YF axis, forming a corresponding driving coordinate system.

Abstract: A method for controlling lane changing of a vehicle, including: receiving a lane changing instruction (step 101); acquiring a speed parameter of the vehicle (step 102); according to the speed parameter, determining a controlling coefficient of a predetermined controller (step 103); acquiring a position-deviation parameter and a heading-angle parameter of the vehicle; if the position-deviation parameter is greater than or equal to a first threshold, or, if the heading-angle parameter is greater than or equal to a second threshold, according to the controlling coefficient, the position-deviation parameter and the heading-angle parameter, determining a target steering-wheel steering angle of the vehicle; and according to the target steering-wheel steering angle, controlling the vehicle to perform a lane changing operation, till the position-deviation parameter is less than the first threshold, and the heading-angle parameter is less than the second threshold (step 105).

Abstract: A method and apparatus used for extracting a feature point of an environmental target, which relate to the field of vehicles. The method comprises: acquiring the position of each corner point of an environmental target; and determining a feature point of the environmental target according to the position of each corner point of the environmental target. Thus, the problem wherein target identification is not precise may be solved, which is particularly suitable for the identification of a large target.

Abstract: Disclosed are a road feature point extraction method and system. The road feature point extraction method comprises: acquiring map information for the current position of a vehicle, wherein the map information comprises the attributes of the current road and the attributes of the next road section; comparing the attributes of the current road with the attributes of the next road section to determine the road type of the next road section; and extracting, in conjunction with the road type of the next road section and the map information corresponding to the next road section, a road feature point representing a road scene on the next road section, and outputting the name of the extracted road feature point and information of the relative distance between the road feature point and the vehicle.

Abstract: A method and a system for constructing a driving coordinate system for use in the field of smart transport. The method for constructing a driving coordinate system comprises: determining the road boundary line on one side of the road on which a current vehicle is situated as a reference line for constructing a driving coordinate system; in a vehicle coordinate system, determining the reference line point having the smallest distance between the reference line and the current vehicle position as an origin point OF of the driving coordinate system; on the basis of the origin point OF, determining the road guiding line direction as the XF axis of the driving coordinate system and determining the direction relative to the road guiding line direction according to the left-hand rule as the YF axis of the driving coordinate system; and, on the basis of the origin point OF, the XF axis, and the YF axis, forming a corresponding driving coordinate system.

Abstract: Disclosed are a data fusion method and apparatus for a vehicle sensor, the method comprising: reading a parameter attribute set of each target detected by a sensor arranged on a vehicle, wherein the parameter attribute set at least comprises one or more of the following: longitudinal velocity, longitudinal distance and transverse distance; generating an attribute combination according to the read parameter attribute set of each target detected by each sensor; and determining an overlap ratio of the parameter attribute set in each attribute combination, and carrying out data fusion based on the overlap ratio so as to obtain a first data fusion list, wherein the first data fusion list comprises the overlap ratio of each attribute combination and the parameter attribute set corresponding to the overlap ratio of each attribute combination. The method simplifies determination logic of a subsequent decision-making system and improves security and operating efficiency of the whole system.

Abstract: A method and apparatus used for extracting a feature point of an environmental target, which relate to the field of vehicles. The method comprises: acquiring the position of each corner point of an environmental target; and determining a feature point of the environmental target according to the position of each corner point of the environmental target. Thus, the problem wherein target identification is not precise may be solved, which is particularly suitable for the identification of a large target.

Abstract: A target tracking method and device, relating to the field of vehicles. The method comprises: reading a target fusion list at the current moment, wherein the target fusion list comprises a target attribute set corresponding to each environment target in one or more environment targets, and the target attribute set comprises parameter attribute sets, measured by one or more sensors, of the environment targets; determining whether the target fusion list at the current moment is an initial target fusion list or not; and if the target fusion list at the current moment is not the initial target fusion list, determining a target tracking list at the current moment according to the target fusion list at the current moment and a stored target tracking list at the previous moment, wherein the target tracking list comprises a parameter attribute set corresponding to each screened environment target and a fusion tracking ID.

Abstract: A method for controlling vehicle travelling includes: detecting a plurality of travelling states of a vehicle, the plurality of travelling states includes a plurality of travelling directions; respectively previewing the vehicle travelling along the plurality of travelling directions from an original position in a lane to obtain a plurality of previewing paths; fitting a plurality of turning paths of the vehicle travelling from the original position to a target path in the lane according to the plurality of previewing paths; using the plurality of turning paths to calculate change information of a plurality of steering wheel angles; and adjusting the plurality of travelling directions according to the change information of the steering wheel angles, so as to control the vehicle to travel from the original position to the target path along the turning path.

Abstract: A method for controlling lane changing of a vehicle, including: receiving a lane changing instruction (step 101); acquiring a speed parameter of the vehicle (step 102); according to the speed parameter, determining a controlling coefficient of a predetermined controller (step 103); acquiring a position-deviation parameter and a heading-angle parameter of the vehicle; if the position-deviation parameter is greater than or equal to a first threshold, or, if the heading-angle parameter is greater than or equal to a second threshold, according to the controlling coefficient, the position-deviation parameter and the heading-angle parameter, determining a target steering-wheel steering angle of the vehicle; and according to the target steering-wheel steering angle, controlling the vehicle to perform a lane changing operation, till the position-deviation parameter is less than the first threshold, and the heading-angle parameter is less than the second threshold (step 105).

Abstract: Disclosed are a method and an apparatus for controlling vehicle travelling, and a vehicle, wherein the method for controlling vehicle travelling includes: detecting a plurality of travelling states of a vehicle, the plurality of travelling states including a plurality of travelling directions; respectively previewing the vehicle travelling along the plurality of travelling directions from an original position in a lane to obtain a plurality of previewing paths; fitting a plurality of turning paths of the vehicle travelling from the original position to a target path in the lane according to the plurality of previewing paths; using the plurality of turning paths to calculate change information of a steering wheel angle; and adjusting the travelling direction according to the change information of the steering wheel angle, so as to control the vehicle to travel from the original position to the target path along the turning path.

Abstract: The present application provides data processing methods and apparatuses. A data processing apparatus can include: a communication interface; a memory storing a set of instructions; and at least one processor configured to execute the set of instructions to cause the apparatus to perform: receiving a target data packet sent by a network device; cleaning the target data packet; and sending the cleaned target data packet to a target website server.