Abstract: The application discloses a composition for hard tissue repair comprising a monomer (A), a polymer powder (B) and a polymerization initiator (C), wherein the polymer powder (B) comprises a polymer powder (B-x) having an aspect ratio of 1.10 or more, and the cumulative ratio of powder particles having aspect ratios of 1.00 or more and less than 1.10 in all of the powder particles contained in the composition for hard tissue repair is 75 cumulative % or less, as well as, a kit for hard tissue repair comprising three or more members, in which each of the components of the monomer (A), the polymer powder (B) and the polymerization initiator (C) contained in this composition for hard tissue repair are divided and contained in the members in an optional combination.

Abstract: A central latency system includes a communication device configured to exchange data with an external device. The data includes current latency data, current contextual data associated with the latency data, or a combination thereof. The system further includes a controller configured to aggregate latency data in response to acquiring the current latency data, generate a latency characterization information based on the aggregated latency data, and transmit the latency characterization information to the external device.

Abstract: Systems and methods of the present disclosure include a motion planning module that iteratively determines possible trajectories for a vehicle to follow, calculates an estimated cost associated with each possible trajectory based on cost functions and cost weights, each cost function corresponding to a trajectory evaluation feature, and selects an optimal trajectory having a least associated estimated cost. When the vehicle is operated in a learning mode, a learning module determines a first actual trajectory traveled by the vehicle, compares the first actual trajectory with the optimal trajectory for that time period, and updates the cost weights based on the comparison. When the vehicle is operated in a teaching mode, a teaching module determines a second actual trajectory traveled by the vehicle, compares the second actual trajectory with the optimal trajectory selected for that time period, and generates output to a user of the vehicle based on the comparison.

Abstract: A vehicle application enabling system is provided and includes a memory and initialization, latency evaluation, and application enable modules. The initialization module: receives a maximum network latency; sets a percentage of occurrences that the maximum network latency is not satisfied, a maximum false positive rate, and a maximum deviation value; and calculates a weighting factor based on the percentage of occurrences, maximum false positive rate and maximum deviation value. The latency evaluation module implements a latency evaluation algorithm, which includes: comparing one or more latency estimates to the maximum network latency to provide one or more samples; updating confusion matrix statistics based on the one or more samples; updating a probability threshold based on the maximum false positive rate; updating weighted observations based on the weighting factor; and determining a predicted decision based on the probability threshold.

Abstract: Autonomous driving systems and methods include a controller of a first vehicle configured to detect an operating state of a second vehicle proximate the first vehicle, and to predict, based on the operating state of the second vehicle, a potential behavior for the second vehicle that optimizes a cost function from the perspective of the second vehicle. The controller then controls the first vehicle to avoid a collision with the second vehicle assuming the second vehicle operates according to the potential behavior.

Abstract: An autonomous drive system for a vehicle includes at least one environment perception sensor, a perception module, a location module, an intention prediction module, and a control module. The perception module is configured to receive signals from the at least one environment perception sensor and detect and track at least two remote vehicles in one or both of a current lane and a neighboring lane. The location module is configured to determine a location of the vehicle. The intention prediction module is configured to generate predicted trajectories for the at least two remote vehicles. The control module is configured to receive signals from the at least one environment perception sensor and receive the predicted trajectories from the intention prediction module. The control module determines a location and time for a lane change based on the predicted trajectories and controls the vehicle to change lanes at the determined location and time.

Abstract: A method for manufacturing a conductive wire includes conducting a continuous casting of a conductive alloy material at a casting rate of not less than 40 mm/min and not more than 200 mm/min to form a conductive wire with a primary diameter, the conductive alloy material containing not more than 1.0 mass % of an added metal element, reducing a diameter of the conductive wire with the primary diameter to form a conductive wire with a secondary diameter, heat treating the conductive wire with the secondary diameter so that tensile strength thereof is reduced to not less than 90% and less than 100% of tensile strength before the heat treating, and reducing a diameter of the conductive wire with the secondary diameter and the reduced tensile strength to generate a logarithmic strain of 7.8 to 12.0 therein to form a conductive wire with a tertiary diameter.

Abstract: An automatic external incident detection and reporting system for a vehicle includes at least one of a plurality of cameras and a plurality of proximity sensors, an incident determination unit, a remote vehicle or object position determination unit, and a communication unit. The incident determination unit is configured to receive signals from the at least one of the cameras and proximity sensors, detect whether an external incident has occurred, and determine a type of incident. The remote vehicle or object position determination unit is configured to receive signals from the at least one of the cameras and proximity sensors and determine an incident location. The communication unit is configured to transmit at least the incident location and the type of incident to remote vehicles, to a local access point, or to share the incident location and the type of incident through a crowd-sourcing manner if the external incident has occurred.

Abstract: A method for manufacturing a conductive wire includes conducting a continuous casting of a conductive alloy material at a casting rate of not less than 40 mm/min and not more than 200 mm/min to form a conductive wire with a primary diameter, the conductive alloy material containing not more than 1.0 mass % of an added metal element, reducing a diameter of the conductive wire with the primary diameter to form a conductive wire with a secondary diameter, heat treating the conductive wire with the secondary diameter so that tensile strength thereof is reduced to not less than 90% and less than 100% of tensile strength before the heat treating, and reducing a diameter of the conductive wire with the secondary diameter and the reduced tensile strength to generate a logarithmic strain of 7.8 to 12.0 therein to form a conductive wire with a tertiary diameter.

Abstract: An automatic traffic incident detection and reporting system for a vehicle may include at least one of a plurality of cameras and a plurality of proximity sensors, an incident determination unit, a remote vehicle position determination unit, and a communication unit. The incident determination unit is configured to receive signals from the at least one of the plurality of cameras and the plurality of proximity sensors, detect whether incident involving at least one remote vehicle has occurred, and categorize the incident. The remote vehicle position determination unit is configured to receive signals from the at least one of the plurality of cameras and the plurality of proximity sensors and determine a location of the incident. The communication unit is configured to transmit data related to the incident to at least one of a cloud server and an emergency service provider.

Abstract: Autonomous driving systems and methods include a controller of a first vehicle configured to detect an operating state of a second vehicle proximate the first vehicle, and to predict, based on the operating state of the second vehicle, a potential behavior for the second vehicle that optimizes a cost function from the perspective of the second vehicle. The controller then controls the first vehicle to avoid a collision with the second vehicle assuming the second vehicle operates according to the potential behavior.

Abstract: Disclosed are: a composition for hard tissue repair with excellent penetrability to an adherend such as a cancellous bone and excellent adhesion to an adherend, which comprises a monomer (A), a polymer powder (B) comprising 54% by mass or more of a polymer powder (b1) having a volume mean particle diameter of 27 to 80 ?m and a polymerization initiator (C); and a kit for hard tissue repair comprising members in which the components of the monomer (A), the polymer powder (B) and the polymerization initiator (C) contained in this composition for hard tissue repair are encased in three or more divided groups in an optional combination.

Abstract: Disclosed are: a composition for hard tissue repair with excellent penetrability to an adherend such as a cancellous bone and excellent adhesion to an adherend, which comprises a monomer (A), a polymer (B), a polymerization initiator (C) and a contrast medium (X) having a volume mean particle diameter of 3 ?m or more; and a kit for hard tissue repair having members in which the components of the monomer (A), the polymer (B), the polymerization initiator (C) and the contrast medium (X) contained in this composition for hard tissue repair are encased in three or more divided groups in an optional combination.

Abstract: An automatic external incident detection and reporting system for a vehicle includes at least one of a plurality of cameras and a plurality of proximity sensors, an incident determination unit, a remote vehicle or object position determination unit, and a communication unit. The incident determination unit is configured to receive signals from the at least one of the cameras and proximity sensors, detect whether an external incident has occurred, and determine a type of incident. The remote vehicle or object position determination unit is configured to receive signals from the at least one of the cameras and proximity sensors and determine an incident location. The communication unit is configured to transmit at least the incident location and the type of incident to remote vehicles, to a local access point, or to share the incident location and the type of incident through a crowd-sourcing manner if the external incident has occurred.

Abstract: An automatic traffic incident detection and reporting system for a vehicle may include at least one of a plurality of cameras and a plurality of proximity sensors, an incident determination unit, a remote vehicle position determination unit, and a communication unit. The incident determination unit is configured to receive signals from the at least one of the plurality of cameras and the plurality of proximity sensors, detect whether incident involving at least one remote vehicle has occurred, and categorize the incident. The remote vehicle position determination unit is configured to receive signals from the at least one of the plurality of cameras and the plurality of proximity sensors and determine a location of the incident. The communication unit is configured to transmit data related to the incident to at least one of a cloud server and an emergency service provider.

Abstract: A system for setting parameters within a first vehicle for a first user of the first vehicle is provided and includes a memory, transceiver, and a processing module. The memory stores normalized parameters, which are specific to the first user. Each of the normalized parameters is a parameter of the vehicle. The transceiver receives the normalized parameters from a mobile device of the first user, a server in a cloud-based network, or a portable memory device. The processing module: determines whether the first user is authorized for parameter translation services; if the first user is authorized for parameter translation services, translates the normalized parameters to resultant parameters; generates parameter recommendations based on the resultant parameters; presents the parameter recommendations to the first user; and adjusts current parameters of the first vehicle based on the resultant parameters and a received response from the first user with regards to the parameter recommendations.

Abstract: A mobile network device is provided and includes a memory and a control module. The memory is configured to store a driver assistance application. The control module is configured to execute the driver assistance application and when executing the driver assistance application the control module is configured to: receive mobile sensor signals from a plurality of sensors in the mobile network device; normalize the mobile sensor signals to generate normalized signals; translate the normalized signals to a plurality of time sequences representing vehicle behavior; concatenate the plurality of time sequences to generate pseudo-vehicle behavior signals; and generate driver assistance signals based on the pseudo-vehicle behavior signals to assist a driver of a vehicle.

Abstract: A vehicle application enabling system is provided and includes a memory and initialization, latency evaluation, and application enable modules. The initialization module: receives a maximum network latency; sets a percentage of occurrences that the maximum network latency is not satisfied, a maximum false positive rate, and a maximum deviation value; and calculates a weighting factor based on the percentage of occurrences, maximum false positive rate and maximum deviation value. The latency evaluation module implements a latency evaluation algorithm, which includes: comparing one or more latency estimates to the maximum network latency to provide one or more samples; updating confusion matrix statistics based on the one or more samples; updating a probability threshold based on the maximum false positive rate; updating weighted observations based on the weighting factor; and determining a predicted decision based on the probability threshold.

Abstract: An autonomous drive system for a vehicle includes at least one environment perception sensor, a perception module, a location module, an intention prediction module, and a control module. The perception module is configured to receive signals from the at least one environment perception sensor and detect and track at least two remote vehicles in one or both of a current lane and a neighboring lane. The location module is configured to determine a location of the vehicle. The intention prediction module is configured to generate predicted trajectories for the at least two remote vehicles. The control module is configured to receive signals from the at least one environment perception sensor and receive the predicted trajectories from the intention prediction module. The control module determines a location and time for a lane change based on the predicted trajectories and controls the vehicle to change lanes at the determined location and time.

Abstract: A drive assist apparatus includes a data collection part that collects driving behavior data representing driving maneuvers and vehicle behaviors caused by the driving maneuvers for each drivers, a classification part that classifies the driving behavior data into a plurality of clusters each showing a tendency of driving behavior of the drivers by clustering the driving behavior data, a storage part that stores cluster information representing a driving behavior characteristic of each of the clusters, a subject data acquisition part that acquires, as subject data, the driving behavior data for a subject driver to be assisted, an estimation part that estimates, as a corresponding cluster, one of the clusters to which the subject driver is assumed to belong by comparing the subject data with the cluster information stored in the storage part, and an assist providing part that provides a drive assist depending on the estimated corresponding cluster.