Abstract: A hybridoma cell stain and a monoclonal antibody secreted therefrom and application thereof belong to the technical field of prevention and treatment of Trichinella spiralis (T. spiralis). Aiming at the technical problem of how to specifically diagnose trichinellosis, the disclosure provides a hybridoma cell strain deposited under an accession number of CGMCC No. 18317. Tests show that the monoclonal antibody Ts-ZH68-2A4-Ab secreted by the hybridoma cell strain can compete with the positive serum of pigs infected with T. spiralis for binding to Ts-ZH68 antigen, and the recognition peptide is 222GVDRSATCQGDSGGP236. The monoclonal antibody of the disclosure and the Ts-ZH68 protein B cell epitope polypeptide recognized by the monoclonal antibody can be used to prepare a reagent or a vaccine for diagnosing or preventing infection of T. spiralis, laying the foundation for establishment of a serological diagnosis method of T. spiralis.

Abstract: Some embodiments are directed to a computer-implemented method for controlling a vehicle and includes determining a current environment of the vehicle based on a current location of the vehicle, and detecting vulnerable road users (VRUs) disposed in proximity to the vehicle based on messages communicated using a vehicular communications network. The method includes modifying a collision warning system of the vehicle according to the current environment of the vehicle and a number of the detected VRUs.

Abstract: Systems and methods for cooperative smart lane selection are described. According to one embodiment, a computer-implemented method for cooperative smart lane selection includes receiving vehicle data for a plurality of vehicles. Each vehicle in the plurality of vehicles is travelling along a road segment having a plurality of lanes. The road segment is parsed into a plurality of inter-lane zones including a buffer zone and an implementation zone downstream of the buffer zone. Each inter-lane zone includes the lanes of the plurality of lanes. The computer-implemented method includes integrating the vehicle data into the plurality inter-lane zones by lane of the plurality of lanes. The computer-implemented method also includes calculating flow factors for the lanes in the implementation zone. The computer-implemented method further includes selecting a lane from the plurality of lanes based on the flow factors and controlling a host vehicle based on the flow factors.

Abstract: Systems and techniques for autonomous vehicle drop-off and pick-up of an individual (e.g., valet type operation) are disclosed herein. An autonomous vehicle may receive global positioning system (GPS) location data including a drop-off location, a parking location, a pick-up location, a pick-up time, and timing factor information associated with an estimated arrival of the individual at the pick-up location, determine an adjusted pick-up time associated with the pick-up of the individual based on the timing factor, determine a departure time for autonomous pick-up of the individual based on the adjusted pick-up time, autonomously park the autonomous vehicle, by travelling from the drop-off location to the parking location after drop-off of the individual, and autonomously pick-up the individual, by departing, at the departure time, from the parking location and travelling to the pick-up location.

Abstract: A method and device for processing promotion information and a system are provided. The method includes that: agreement information and exposure requirements of all promotion information within a preset period are acquired (101); directional delivered targets are determined according to the agreement information and the exposure requirements, and the directional delivered targets are split into multiple non-intersected delivered target sets (102); the promotion information is delivered to users corresponding to the corresponding delivered target sets according to the exposure requirements (103); statistics about social propagation amounts of to the delivered promotion information is made in real time in a delivery process (104); and exposure parameters are corrected according to the social propagation amounts (105), so that delivery of the promotion information is regulated in real time. By the method, the effectiveness and accuracy of delivering the promotion information may be improved.

Abstract: A system and method for providing an infrastructure based safety alert associated with at least one roadway that include identifying road users located within a surrounding environment of the at least one roadway. The system and method also include determining road user related data and roadway related data. The system and method additionally include processing roadway behavioral data associated with a non-equipped vehicle. The system and method further include providing a roadway safety alert based on the roadway behavioral data.

Abstract: Systems and methods for a cooperative autonomy framework are described. According to one embodiment, a cooperative autonomy framework includes a goal module, a target module, a negotiation module, and a perception module. The goal module determines a cooperation goal. The target module identifies a vehicle associated with the cooperation goal and sends a swarm request to the vehicle to join a swarm. The negotiation module receives a swarm acceptance from the vehicle. The perception module determines a cooperative action for the vehicle relative to the swarm.

Abstract: A method and system for road condition monitoring including receiving roadway data from connected vehicles in response to a third party request. The connected vehicles include sensors for capturing the roadway data. The method and system include determining a roadway condition based on the roadway data and calculating a data price based on the roadway condition and the roadway data. Further, the method and system include controlling access to the roadway data according to the data price.

Abstract: Some embodiments are directed to a computer system for enabling an implementer to select software for deployment to a vehicle control system. According to one aspect, a computer system of a vehicle includes a vehicle control system that is configured for operation with the vehicle. The computer system also includes a processor. The processor is configured to identify a set of vehicle-to-everything (V2X) applications for the computer system. Each of the V2X applications of the set of V2X applications is then evaluated based on market penetration rate influence on parameters that affect performance of each of the V2X applications. The processor is further configured to rank each of the V2X applications of the set of applications based on the evaluation. The computer system also includes an implementer configured to select a V2X application from the set of V2X applications based on the ranking to implement using the vehicle control system.

Abstract: Behavior data associated with a user is obtained. The behavior data is generated when the user uses an Internet service and includes a user identification and identification information indicating the Internet service. At least one predefined carbon-saving quantity quantization algorithm is determined based on the identification information related to the Internet service. A carbon-saving quantity associated with the user is calculated based on the obtained behavior data and the determined at least one predefined carbon-saving quantity quantization algorithm. Based on the calculated carbon-saving quantity associated with the user and the user identification, user data is processed. The user data is related to the carbon-saving quantity associated with the user.

Abstract: Embodiments, systems, and techniques for vehicle operation assistance are provided herein. Vehicle operation assistance may be provided by a method. An example method includes transmitting a help request for help to a help center based on an emergency status of an occupant of a vehicle. The method also includes receiving availability information from the help center. The availability information indicates availability of one or more potential leader vehicles in an area. The method yet further includes placing the system in a follower mode based on a selection of a leader vehicle from the one or more potential leader vehicles by establishing a connection with the potential leader vehicle. In follower mode the vehicle is a follower vehicle. The method additionally includes wirelessly receiving a navigation instruction from the leader vehicle. The method includes executing a driving maneuver in an autonomous fashion based on the navigation instruction from the leader vehicle.

Abstract: The present disclosure relates to foam beads of an elastomeric composition comprising a propylene-based elastomer. The foam bead has a density of less than 0.5 g/cm3. The foam beads can be made from pellets of elastomeric compositions by expanding with supercritical fluid blowing agent. The foamed bead has reduced lightness while maintaining elasticity.

Abstract: Embodiments, systems, and techniques for vehicle operation assistance are provided herein. Vehicle operation assistance may be provided by monitoring characteristics of an occupant of a vehicle and determining an emergency status for the occupant based on characteristics of the occupant, transmitting a request for help based on the emergency status indicating the occupant of the vehicle is experiencing an emergency, receiving a “follow me” request from a potential leader vehicle, enabling follower mode such that vehicle is a follower vehicle and the potential leader vehicle is a leader vehicle, establishing a connection with the leader vehicle and receiving navigation instructions from the leader vehicle based on the vehicle being in follower mode, generating driving action commands based on navigation instructions, and executing respective driving action commands in an autonomous fashion based on the vehicle being in follower mode.

Abstract: Embodiments, systems, and techniques for vehicle operation assistance are provided herein. Vehicle operation assistance may be provided by monitoring characteristics of an occupant of a vehicle and determining an emergency status for the occupant based on characteristics of the occupant, transmitting a request for help based on the emergency status indicating the occupant of the vehicle is experiencing an emergency, receiving a “follow me” request from a potential leader vehicle, enabling follower mode such that vehicle is a follower vehicle and the potential leader vehicle is a leader vehicle, establishing a connection with the leader vehicle and receiving navigation instructions from the leader vehicle based on the vehicle being in follower mode, generating driving action commands based on navigation instructions, and executing respective driving action commands in an autonomous fashion based on the vehicle being in follower mode.

Abstract: Environmental map generation techniques and systems are described. A digital image is scaled to achieve a target aspect ratio using a content aware scaling technique. A canvas is generated that is dimensionally larger than the scaled digital image and the scaled digital image is inserted within the canvas thereby resulting in an unfilled portion of the canvas. An initially filled canvas is then generated by filling the unfilled portion using a content aware fill technique based on the inserted digital image. A plurality of polar coordinate canvases is formed by transforming original coordinates of the canvas into polar coordinates. The unfilled portions of the polar coordinate canvases are filled using a content-aware fill technique that is initialized based on the initially filled canvas. An environmental map of the digital image is generated by combining a plurality of original coordinate canvas portions formed from the polar coordinate canvases.

Abstract: Systems and methods for a swarm management framework are described. According to one embodiment, a swarm management framework includes a goal module, a target module, a negotiation module, and a perception module. The goal module determines a cooperation goal. The target module identifies a vehicle associated with the cooperation goal and sends a swarm request to the vehicle to join a swarm. The negotiation module receives a swarm acceptance from the vehicle. The perception module determines a cooperative action for the vehicle relative to the swarm.

Abstract: Behavior data associated with a user is obtained. The behavior data is generated when the user uses an Internet service and includes a user identification and identification information indicating the Internet service. At least one predefined carbon-saving quantity quantization algorithm is determined based on the identification information related to the Internet service. A carbon-saving quantity associated with the user is calculated based on the obtained behavior data and the determined at least one predefined carbon-saving quantity quantization algorithm. Based on the calculated carbon-saving quantity associated with the user and the user identification, user data is processed. The user data is related to the carbon-saving quantity associated with the user.

Abstract: Systems and methods for shared autonomy through cooperative sensing are described. According to one embodiment, a cooperative sensing system includes a rendezvous module that receives broadcast messages from a plurality of cooperating vehicles on the roadway. The rendezvous module also selects a subordinate vehicle from the plurality of cooperating vehicles based on the autonomy level of the subordinate vehicle as compared to an autonomy level of a principal vehicle. The cooperative sensing system also includes a positioning module that determines a cooperative position of the principal vehicle and the subordinate vehicle. The cooperative sensing system further includes a negotiation module that receives at least one cooperating parameter from the subordinate vehicle.

Abstract: Systems and methods for shared autonomy through cooperative sensing are described. According to one embodiment, a cooperative sensing system includes a rendezvous module that receives broadcast messages from a plurality of cooperating vehicles on the roadway. The rendezvous module also selects a subordinate vehicle from the plurality of cooperating vehicles based on the autonomy level of the subordinate vehicle as compared to an autonomy level of a principal vehicle. The cooperative sensing system also includes a positioning module that determines a cooperative position of the principal vehicle and the subordinate vehicle. The cooperative sensing system further includes a negotiation module that receives at least one cooperating parameter from the subordinate vehicle.

Abstract: Systems and methods for cooperative smart lane selection are described. According to one embodiment, a computer-implemented method for cooperative smart lane selection includes receiving vehicle data for a plurality of vehicles. Each vehicle in the plurality of vehicles is travelling along a road segment having a plurality of lanes. The road segment is parsed into a plurality of inter-lane zones including a buffer zone and an implementation zone downstream of the buffer zone. Each inter-lane zone includes the lanes of the plurality of lanes. The computer-implemented method includes integrating the vehicle data into the plurality inter-lane zones by lane of the plurality of lanes. The computer-implemented method also includes calculating flow factors for the lanes in the implementation zone. The computer-implemented method further includes selecting a lane from the plurality of lanes based on the flow factors and controlling a host vehicle based on the flow factors.