Abstract: A method of improving efficiency of a vehicle behavior controller using a traffic state estimation network is described. The method includes feeding an input of a feature extraction network of the vehicle behavior controller with a sequence of images. The sequence of images include a highway section and corresponding traffic data. The method also includes disentangling an estimated behavior of a controlled ego vehicle. by the traffic state estimation network. The traffic state estimate network disentangles the estimated of the controlled ego vehicle from extracted traffic state features of the input provided by the feature extraction network. The method further includes selecting an action to adjust an autonomous behavior of the controlled ego vehicle according to the estimated behavior of the controlled ego vehicle.

Abstract: System, methods, and other embodiments described herein relate to improving monitoring of traffic flows. In one embodiment, a method includes aggregating perception data associated with a road network from information sources to a server over a network. The method also includes generating a graph structure from the perception data in association with a neural network model. The graph structure is an incomplete representation of the road network in view of missing data. The method also includes completing the graph structure using the neural network model that forms a graph model of the traffic flows to de-noise the graph structure according to road constraints between two points in the road network. The method also includes communicating the graph model of the traffic flows to a vehicle to navigate traffic in the road network.

Abstract: System, methods, and other embodiments described herein relate to detecting obstacles from unknown objects during automated driving by a vehicle. In one embodiment, a method includes generating, from an image that includes an unknown object, a depth map from a depth estimation component and processed data from a semantic segmentation component in parallel by using a neural network model. The method also includes detecting that the unknown object is an obstacle when the unknown object satisfies criteria using an optical model according to the depth map and a segmentation map. The method also includes determining a height of the obstacle and a distance to the obstacle according to the optical model and the criteria. The method also includes adapting a vehicle plan of the automated driving according to the height.

Abstract: A pixel circuit, a handwriting display panel and a handwriting display system are provided. The pixel circuit includes: a write-in control circuit, a light-emitting circuit, a display control circuit and an erasing control circuit. The write-in control circuit includes a photosensitive switch, and the photosensitive switch is capable of being turned on under illumination of first light; the light-emitting circuit includes a first light-emitting component, which is configured to emit the first light to illuminate the photosensitive switch where the photosensitive switch is turned on; the display control circuit includes a display unit, which is configured to perform display operation where the photosensitive switch is turned on; and the erasing control circuit includes an induction switch, and the induction switch is controllable to be turned on.

Abstract: A method comprises receiving an image of a road captured by a vehicle driving on the road, receiving a map of the road, the map comprising a road geometry of the road, obtaining an edge map of the road based on the image of the road, inputting the image, the map of the road, and the edge map into a trained regressor neural network, determining an estimated snow depth for each of one or more lanes of the road based on an output of the regressor neural network, and transmitting the estimated snow depth to an edge computing device.

Abstract: The present disclosure provides a loop closure detection method, a mobile device, and a computer readable storage medium. The method includes: collecting images in different detection directions simultaneously through C0 cameras installed on the mobile device to obtain an image data group comprising C0 images; calculating feature information of each image in the image data group; performing a loop closure detection in C0 sub-threads respectively based on the feature information to obtain a loop closure detection result of each sub-thread; and determining a loop closure detection result of the mobile device based on the loop closure detection result of each sub-thread. In this manner, cross detections in a plurality of detection directions can be realized, which breaks through the limitation of loop closure detection in the prior art with respect to path direction, avoids repeated paths in the same direction, and greatly improves the mapping efficiency.

Abstract: Two vehicles—an ego vehicle and an other vehicle—can share sensor data in a streamlined manner. One or more sensors can be configured to acquire first environment data of an external environment of the ego vehicle. A data summary based on second environment data of an external environment of the other vehicle can be received. Whether there is a common region of sensor coverage between the ego vehicle and the other vehicle can be determined. In response to there being a common region, the first environment data that is located within the common region can be identified and the resolution level of the identified first environment data can be reduced. The first environment data that has the reduced resolution level and a remainder of the first environment data excluding the identified first environment data can be transmitted to the other vehicle.

Abstract: The disclosure includes embodiments for adaptive sensor data sharing by a connected vehicle. A method includes calculating, by a processor of an ego vehicle, a view angle overlap between a first sensor of the ego vehicle and a second sensor of a roadway device, wherein the view angle overlap is an amount of sensor view overlap shared by first sensor and the second sensor. The method includes determining an amount of ego sensor data to share with the roadway device based on the view angle overlap. The method includes building a sharing message that includes the amount of ego sensor data in a payload of the sharing message. The method includes transmitting, by a communication unit of the ego vehicle, the sharing message to the roadway device.

Abstract: A method of generating a traffic prediction includes receiving traffic data from a plurality of reporting sources, forming a plurality of initial graphs, generating a plurality of completed graphs based on the plurality of initial graphs by at least removing noise from the plurality of initial graphs, generating a plurality of feature vectors that represent spatial relationships and temporal relationships in the plurality of completed graphs, outputting a first feature vector corresponding to a first time window as a first output, caching a copy of the first feature vector with a set of feature vectors of the plurality of feature vectors corresponding to a second time window, connecting the first feature vector with the set of feature vectors, outputting the result as a second output, fusing the first output with the second output and generating a traffic prediction based on the fused outputs.

Abstract: The disclosure includes embodiments for providing adaptive vehicle ID generation. A method includes determining a set of channel loads for a V2X network. The method includes analyzing the set of channel loads to determine if a threshold is satisfied by broadcasting a V2X message including a standard vehicle identifier. Satisfying the threshold is indicative of a channel congestion. The method includes activating a digital switching decision that switches the connected vehicle from broadcasting the standard vehicle identifier to broadcasting a compressed vehicle identifier. The method includes inputting vehicle feature data describing the connected vehicle to a compression module. The compression module analyzes the vehicle feature data and outputs compressed vehicle identifier data describing the compressed vehicle identifier so that the compressed vehicle identifier is determined independently of the standard vehicle identifier.

Abstract: The present disclosure discloses a distributed system and a message processing method. The distributed system includes a client and a plurality of nodes. The client includes processing circuitry that is configured to send a message including a digital signature of the client. The distributed system is in a first consensus mode for reaching a consensus on the message. The processing circuitry obtains results from a subset of the nodes that receive the message. The results have respective digital signatures of the subset of the nodes. After verifying the digital signatures of the subset of the nodes, the processing circuitry of the client determines, based on the results, whether one or more of the nodes in the distributed system is malfunctioned.

Abstract: The disclosure includes embodiments for a location data correction service for connected vehicles. A method includes receiving, by an operation center via a serverless ad-hoc vehicular network, a first wireless message that includes legacy location data that describes a geographic location of a legacy vehicle. The method includes causing a rich sensor set included in the operation center to record sensor data describing the geographic locations of objects in a roadway environment. The method includes determining correction data that describes a variance between the geographic location of the legacy vehicle as described by the sensor data and the legacy location data. The method includes transmitting a second wireless message to the legacy vehicle, wherein the second wireless message includes the correction data so that the legacy vehicle receives a benefit by correcting the legacy location data to minimize the variance.

Abstract: Systems and methods for distributed cooperative localization in a connected vehicular platform are disclosed herein. At a first sensor-rich vehicle, one embodiment receives, from a second sensor-rich vehicle via direct vehicle-to-vehicle (V2V) communication, an estimated location of the first sensor-rich vehicle and an associated confidence level; estimates a location of the second sensor-rich vehicle based on first sensor data and assigns a confidence level to the estimated location; transmits to the second sensor-rich vehicle via direct V2V communication, the estimated location of the second sensor-rich vehicle and the assigned confidence level; accepts, based on communication between the first and second sensor-rich vehicles and predetermined acceptance criteria, an assignment to perform localization for a legacy vehicle; estimates a location of the legacy vehicle based on second sensor data; and transmits, to the legacy vehicle, the estimated location of the legacy vehicle.

Abstract: A dry process connected energy-consuming beam column joint based on a corbel includes a prefabricated concrete corbel column, pre-buried steel plates and connecting steel plates, wherein the corbel section of the prefabricated concrete corbel column is stepped, and a notch section of a prefabricated concrete notch beam is matched with the stepped section of the corbel and is in lap joint to the stepped section; the pre-buried steel plates are separately pre-buried on the upper and lower surfaces of the corbel and the prefabricated concrete notch beam, friction plates are arranged outside the pre-buried steel plates, and slight tooth spaces are arranged on the sides, facing the pre-buried steel plates, of the friction plates; and the connecting steel plates are arranged on the left and right sides of the prefabricated concrete notch beam and the corbel lap joint section.

Abstract: A method includes receiving sensor data, with one or more sensor of a vehicle, wherein the sensor data is associated with an environment of the vehicle, detecting an object based on the sensor data, determining pixel coordinates of the object based on the sensor data, converting the pixel coordinates of the object to world coordinates of the object, extracting a set of features associated with the object, and transmitting the set of features and the world coordinates to a remote computing device.

Abstract: The present disclosure provides a touch screen and a pressure-sensitive touch method, and a display apparatus. In one embodiment, a touch screen includes: a touch sensing layer including a touch sensing area configured to sense touch information of a touch action; a pressure sensing layer including a pressure sensing area including a plurality of photosensitive devices therein, the pressure sensing area configured to sense pressure information of the touch action, the photosensitive devices being configured to receive optical signals from a light-emitting side of the touch screen and convert the optical signals into electrical signals; and a processor configured to process the electrical signals converted by the photosensitive devices and output corresponding pressure information, the pressure information at least comprising a pressure strength of the touch action.

Abstract: The disclosure includes embodiments for providing adaptive vehicle ID generation. A method includes determining a set of channel loads for a V2X network. The method includes analyzing the set of channel loads to determine if a threshold is satisfied by broadcasting a V2X message including a standard vehicle identifier. Satisfying the threshold is indicative of a channel congestion. The method includes activating a digital switching decision that switches the connected vehicle from broadcasting the standard vehicle identifier to broadcasting a compressed vehicle identifier. The method includes inputting vehicle feature data describing the connected vehicle to a compression module. The compression module analyzes the vehicle feature data and outputs compressed vehicle identifier data describing the compressed vehicle identifier so that the compressed vehicle identifier is determined independently of the standard vehicle identifier.

Abstract: The disclosure includes embodiments for asynchronous observation matching for object localization in connected vehicles. A method includes receiving a wireless message from the remote connected vehicle. The wireless message includes first observation data recorded by the remote connected vehicle and describing sensor measurements of the remote connected vehicle at a first time but not a second time. The method includes analyzing a set of vectors describing how a known object moves within a two-dimensional space to determine a two-dimensional flow of the known object in the two-dimensional space during a timespan. The method includes analyzing the two-dimensional flow of the object to infer a three-dimensional flow of the object in a three-dimensional space during the timespan. The method includes estimating second observation data recoded by the remote connected vehicle at the second time so that the impact of the latency is modified.

Abstract: A self-monitoring method of a display and a display are disclosed. The self-monitoring method of a display includes: inputting a first image test signal; acquiring a display parameter of the first image test signal; acquiring a first display parameter of at least one frame of image outputted, based on the first image test signal, by the display, in which each frame of image of the at least one frame of image corresponds to a corresponding first display parameter; comparing the display parameter of the first image test signal with the first display parameter, determining whether or not an image displayed by the display is matched with the first image test signal so as to acquire a first match result; and determining whether or not display abnormality presents in the display based on the first match result. The method can determine whether or not display abnormality presents in the display.

Abstract: A touch display device and a method for touch detection are provided. The touch display device is formed by at least two spliced touch screens, and includes an obtaining module, configured to acquire report data of at least one touch screen of the touch display device, where the report data is generated by the at least one touch screen when the at least one touch screen is touched by a user; and a processing module, configured to perform coordinate conversion according to a splicing state and the report data of the touch screen sending the report data, to obtain at least one output coordinate corresponding to an entire display area of the touch display device.