Abstract: The present disclosure provides methods, devices and systems for route deviation quantification and vehicular route learning based thereon. In some examples, there is provided a method for route deviation quantification of a suggested route. The method comprises: obtaining a ground truth route based on a filtered trajectory, the filtered trajectory including an inferred location of origin and an inferred location of destination; obtaining a suggested route generated based on the inferred location of origin and the inferred location of destination; quantifying a deviation of the suggested route from the ground truth route by calculating an off course ratio based on a combined length of road segments in the suggested route that are matched to corresponding road segments in the ground truth route and a combined length of road segments in the ground truth route.

Abstract: Provided are a video preloading method and apparatus, a device, and a medium. The method includes: in response to determining that a length of a buffered video reaches a first numerical value, creating and executing a preloading task, where the buffered video is a current video that is buffered and is to be played, and the preloading task is used for preloading a subsequent video; and in an execution process of the preloading task, in response to determining that the length of the buffered video is less than or equal to a second numerical value, cancelling the preloading task, where the second numerical value is less than the first numerical value.

Abstract: A processing apparatus for generating route navigation data is provided, to, generate training data based on road network data corresponding to a network of roads in a defined geographical area, and journey data sets, each journey data set comprising data indicative of a journey by a road user through the network of roads and being derived using geolocation transmissions from a communications device of the road user, train a classifier model based on the training data, apply the trained classifier model on road data corresponding to a road in the defined geographical area, for the trained classifier model to predict a direction of traffic flow on the road, and generate the route navigation data indicative of the predicted direction of the traffic flow on the road. A method for generating route navigation data is also provided.

Abstract: A processing apparatus for generating route navigation data is provided, to, generate training data based on road network data corresponding to a network of roads in a defined geographical area, and journey data sets, each journey data set comprising data indicative of a journey by a road user through the network of roads and being derived using geolocation transmissions from a communications device of the road user, train a classifier model based on the training data, apply the trained classifier model on road data corresponding to a road in the defined geographical area, for the trained classifier model to predict a direction of traffic flow on the road, and generate the route navigation data indicative of the predicted direction of the traffic flow on the road. A method for generating route navigation data is also provided.

Abstract: Aspects concern a method for correcting position estimates of a movable object. According to various embodiments, the method comprises establishing (1001) a hidden Markov model HMM, instance for a movable object and, for positioning times of a sequence of positioning times, receiving (1002) a position estimate from a positioning device of the movable object for a respective positioning time, determining (1003) a set of candidate path segments for the positioning time, determining (1004) likelihoods for the candidate path segments to correspond to the position estimate by application of the Viterbi algorithm to the HMM instance, expanding (1005) the HMM instance by the determined likelihoods for the candidate path segments for the positioning time and determining (1006) a corrected position estimate from a candidate path segment of the set of candidate path segments with the highest likelihood.

Abstract: Aspects concern a method for generating map data, the method including: generating of a plurality of cells of a real space area, each cell representing a two-dimensional sub-space of the real space area, wherein each of the cells comprise at least one global positioning system (GPS) point, and wherein the real space area comprises a road network; determining a number of GPS points for each cell of the plurality of cells; determining a road network based on the numbers of GPS points using a Smoothed Particle Hydrodynamics (SPH) analysis, wherein the cells of the plurality of cells are particles of the SPH analysis and the number of GPS points per cell of the plurality of cells are a scalar of each cell of the plurality of cells in the SPH analysis; and comparing the road network determined using the SPH analysis with the road network of the real space area.

Abstract: A processing apparatus is provided, to, for each candidate point-of-interest of at least one candidate point-of-interest identified for association with a road in a network of roads for determining a name for the road, generate first data indicative of a relationship relating to a distance between the candidate point-of-interest and a road segment of the road, generate second data indicative of a relationship between the road segment and a projection of the candidate point-of-interest in a direction of the road segment, and, if the first and second relationships satisfy a first and second conditions for association respectively, generate data indicative of the candidate point-of-interest being an associated point-of-interest, process data corresponding to the associated point-of-interest to extract name data indicative of a road name associated with the associated point-of-interest, and generate, based on the name data, data indicative of the name for the road.

Abstract: A processing apparatus for traffic management of a network of roads is provided, to, generate, based on journey data sets, first count data indicative of a first count of the road users travelling on an incoming road leading to the intersection node, and second count data indicative of a second count of the road users travelling on an outgoing road of at least two outgoing roads, each outgoing road leading away from the intersection node, generate result data indicative of a result that is determined based on the first count and the second count, if the result satisfies a condition for restriction, generate restriction data indicative of a restriction of traffic from the incoming road to the outgoing road via the intersection node, and generate, based on an angular relationship between the outgoing road and the incoming road, type data indicative of a type of the restriction.

Abstract: Aspects concern a method for correcting errors in map data comprising obtaining map data specifying travel possibilities between locations, generating a routing graph from the map data by assigning a vertex to each location and an edge from one vertex to another vertex if the map data specifies that it is possible to travel from the location to which the first vertex is assigned to the location to which the second vertex is assigned, identifying the largest strongly connected component of the routing graph, identifying one or more further strongly connected components of the routing graph, detecting errors in the map data by identifying travel possibilities that are not in the map data which lead to missing connections between the one or more further strongly connected components of the routing graph and the largest strongly connected component of the routing graph and amending the map data by the identified travel possibilities.

Abstract: Aspects concern a method for correcting position estimates of a movable object. According to various embodiments, the method comprises establishing (1001) a hidden Markov model, HMM, instance for a movable object and, for positioning times of a sequence of positioning times, receiving (1002) a position estimate from a positioning device of the movable object for a respective positioning time, determining (1003) a set of candidate path segments for the positioning time, determining (1004) likelihoods for the candidate path segments to correspond to the position estimate by application of the Viterbi algorithm to the HMM instance, expanding (1005) the HMM instance by the determined likelihoods for the candidate path segments for the positioning time and determining (1006) a corrected position estimate from a candidate path segment of the set of candidate path segments with the highest likelihood.

Abstract: The present disclosure provides methods, devices and systems for route deviation quantification and vehicular route learning based thereon. In some examples, there is provided a method for route deviation quantification of a suggested route. The method comprises: obtaining a ground truth route based on a filtered trajectory, the filtered trajectory including an inferred location of origin and an inferred location of destination; obtaining a suggested route generated based on the inferred location of origin and the inferred location of destination; quantifying a deviation of the suggested route from the ground truth route by calculating an off course ratio based on a combined length of road segments in the suggested route that are matched to corresponding road segments in the ground truth route and a combined length of road segments in the ground truth route.

Abstract: Aspects concern a method for determining a navigation profile for a vehicle in a geographical area, comprising obtaining a road network, initializing a navigation map by assigning an initial speed to each road segment of the road network, training the navigation map using training data comprising a training route for each of a multiplicity of trips by, if the number of trips for which a road segment is in the training route but not in the determined route is above the first threshold, assigning a higher speed to the road segment, and, if the number of trips for which a road segment is in the determined route but not in the training route is above the second threshold, assigning a lower speed to the road segment, and determining a navigation profile including a route for a vehicle in the geographical area using the trained navigation map.

Abstract: A processing apparatus for generating route navigation data is provided, to, generate training data based on road network data corresponding to a network of roads in a defined geographical area, and journey data sets, each journey data set comprising data indicative of a journey by a road user through the network of roads and being derived using geolocation transmissions from a communications device of the road user, train a classifier model based on the training data, apply the trained classifier model on road data corresponding to a road in the defined geographical area, for the trained classifier model to predict a direction of traffic flow on the road, and generate the route navigation data indicative of the predicted direction of the traffic flow on the road. A method for generating route navigation data is also provided.

Abstract: A processing apparatus for traffic management of a network of roads is provided, to, process data corresponding to the network of roads to identify an incoming road and an outgoing road intersecting at an intersection node of the network, the incoming road being for incoming traffic leading to the intersection node and the outgoing road being for outgoing traffic leading away from the intersection node, determine, based on the data corresponding to the network, whether there is a bypass road to allow the incoming traffic from the incoming road to bypass the intersection node and flow to the outgoing road via the bypass road, and, if it is determined that there is the bypass road, generate data indicative of a turn restriction for communicating to road users of restriction of flow of the incoming traffic to the outgoing road via the intersection node.

Abstract: A processing apparatus is provided, to, for each candidate point-of-interest of at least one candidate point-of-interest identified for association with a road in a network of roads for determining a name for the road, generate first data indicative of a relationship relating to a distance between the candidate point-of-interest and a road segment of the road, generate second data indicative of a relationship between the road segment and a projection of the candidate point-of-interest in a direction of the road segment, and, if the first and second relationships satisfy a first and second conditions for association respectively, generate data indicative of the candidate point-of-interest being an associated point-of-interest, process data corresponding to the associated point-of-interest to extract name data indicative of a road name associated with the associated point-of-interest, and generate, based on the name data, data indicative of the name for the road.

Abstract: Aspects concern a method for correcting errors in map data comprising obtaining map data specifying travel possibilities between locations, generating a routing graph from the map data by assigning a vertex to each location and an edge from one vertex to another vertex if the map data specifies that it is possible to travel from the location to which the first vertex is assigned to the location to which the second vertex is assigned, identifying the largest strongly connected component of the routing graph, identifying one or more further strongly connected components of the routing graph, detecting errors in the map data by identifying travel possibilities that are not in the map data which lead to missing connections between the one or more further strongly connected components of the routing graph and the largest strongly connected component of the routing graph and amending the map data by the identified travel possibilities.

Abstract: The present disclosure provides a direct type backlight module (1) and a display device. The direct type backlight module (1) includes: a back plate (10) including a body (110) and a side plate (120) protruding around an edge of the body (110), the body (110) and the side plate (120) are enclosed to form a receiving cavity (100), and a back surface of the body (110) is partially recessed towards the receiving cavity (100) to form a mounting groove (130); and a rear housing (20), covering the mounting groove (130), a back surface of the rear housing (20) is flush with an edge of the mounting groove (130) of the body (110). The direct type backlight module (1) overcomes the defect in the conventional display device that the rear housing protrudes from the back plate, causing uneven thickness of the display device.

Abstract: The invention discloses a screen size adjustment method for LCD projectors, comprising a design of UI interface based on LCD display, a setting of zoom ratio threshold and a realization of UI zoom ratio function. The LCD projector screen size adjustment needs to be designed based on application scenarios and LCD display resolution (WPanel×HPanel) of the projector. A reasonable zoom ratio threshold is set based on the application scenario and product definition. After the zoom ratio threshold is determined, the system interface needs to be designed. When designing the system interface, the system interface resolution (WUI×HUI) should be determined according to the product of the screen resolution and the minimum value of the zoom ratio (Zmin), and the number of width and height pixels used in the final design of the system interface should not be higher than the value calculated above.

Abstract: The present disclosure provides methods, devices and systems for route deviation quantification and vehicular route learning based thereon. In some examples, there is provided a method for route deviation quantification of a suggested route. The method comprises: obtaining a ground truth route based on a filtered trajectory, the filtered trajectory including an inferred location of origin and an inferred location of destination; obtaining a suggested route generated based on the inferred location of origin and the inferred location of destination; quantifying a deviation of the suggested route from the ground truth route by calculating an off course ratio based on a combined length of road segments in the suggested route that are matched to corresponding road segments in the ground truth route and a combined length of road segments in the ground truth route.

Abstract: The disclosure claims a portable projector with Bluetooth audio and mobile phone charging functions, wherein it comprises a case, a lens mounted in the case, a reflector and a circuit board, the left and right sides of the case being semi-elliptical surfaces, the lens being provided inside the case and near the semi-elliptical surface of that side of the case, and the edges of the reflector and circuit board being provided in a rounded shape so that they fit the semi-elliptical surface of the case. In this disclosure, the design that the lens is arranged on one side of the projector makes the operation of tuning the focal length more convenient, and the design that the reflector and the lens are in a conjoined structure is convenient for the lens to lean against the side. The audio mode and the projector mode can be switched with one key by sliding the sliding cover left and right, and the operation is made more portable by voice prompts.