Abstract: A distributed computing system for determining road surface traction capacity for roadways located in a common spatio-temporal zone includes a plurality of vehicles that each include a plurality of sensors and systems that collect and analyze a plurality of parameters related to road surface conditions in the common spatio-temporal zone. The distributed computing system also includes one or more central computers in wireless communication with each of the plurality of vehicles. The one or more central computers execute instructions to determine a road surface traction capacity value for the common spatio-temporal zone.

Abstract: A system for creating a 3D volumetric scene includes a first visual sensor positioned onboard a first vehicle to obtain first visual images, first motion sensors positioned onboard the first vehicle to obtain first motion data, a first computer processor positioned onboard the first vehicle and adapted to generate a first scene point cloud, a second visual sensor positioned onboard a second vehicle to obtain second visual images, second motion sensors positioned onboard the second vehicle to obtain second motion data, and a second computer processor positioned onboard the second vehicle and adapted to generate a second scene point cloud, the first and second computer processors further adapted to send the first and second scene point clouds to a third computer processor, and the third computer processor located within an edge/cloud infrastructure and adapted to create a stitched point cloud.

Abstract: A scan aggregator and filter for an autonomous vehicle includes a plurality of radar sensors, where each radar sensor performs a plurality of individual scans of a surrounding environment to obtain data in the form of a radar point cloud including a plurality of detection points. The scan aggregator and filter also includes an automated driving controller in electronic communication with the plurality of radar sensors. The automated driving controller is instructed to filter each of the individual scans to define a spatial region of interest and to remove the detection points of the radar point cloud that represent moving objects based on a first outlier-robust model estimation algorithm. The automated driving controller aggregates a predefined number of individual scans together based on a motion compensated aggregation technique to create an aggregated data scan and applies a plurality of density-based clustering algorithms to filter the aggregated data scan.

Abstract: A calibration pipeline for 6DoF alignment parameters for an autonomous vehicle includes an automated driving controller instructed to receive inertial measurement unit (IMU) poses and final radar poses and determine smoothened IMU poses from the IMU poses and smoothened final radar poses from the final radar poses. The automated driving controller aligns the smoothened IMU poses and the smoothened final radar poses with one another to create a plurality of radar-IMU A, B relative pose pairs. The automated riving controller determines a solution yielding a threshold number of inliers of further filtered radar-IMU A, B relative pose pairs, randomly samples the further filtered radar-IMU A, B relative pose pairs with replacements several times to determine a stream of filtered radar-IMU A, B relative pose pairs, and solves for a solution X for the stream of filtered radar-IMU A, B relative pose pairs.

Abstract: A scan matching and radar pose estimator for determining a final radar pose for an autonomous vehicle includes an automated driving controller that is instructed to determine a hyper-local submap based on a predefined number of consecutive aggregated filtered data point cloud scans and associated pose estimates. The automated driving controller determines an initial estimated pose by aligning a latest aggregated filtered data point cloud scan with the most recent hyper-local submap based on an iterative closest point (ICP) alignment algorithm. The automated driving controller determines a pose graph based on the most recent hyper-local submap and neighboring radar point cloud scans, and executes a multi-view non-linear ICP algorithm to adjust initial estimated poses corresponding to the neighboring radar point cloud scans in a moving window fashion to determine a locally adjusted pose.

Abstract: Systems and methods are provided for interpreting traffic information. A method includes: receiving, by a processor, visual data from vehicles, wherein the visual data is associated with an intersection of a roadway having one or more lanes; receiving, by the processor, vehicle data from the vehicles, wherein the vehicle data is associated with the intersection of the roadway; determining, by the processor, a first state of a traffic light associated with the intersection based on the visual data; determining, by the processor, a second state of the traffic light associated with the intersection based on the vehicle data; correlating, by the processor, the first state and the second state based on a time synchronization; assigning, by the processor, the traffic light to a lane of the roadway based on the correlating; and communicating, by the processor, the traffic light to lane assignment for use in controlling a vehicle.

Abstract: A device for efficiently separating ethyl tin from molten crude tin is disclosed. The device includes grab buckets, connecting rods, an inverted T-shaped push rod, alloy legs, a hanger plate, a cylinder and a lifting ring; wherein one end of the connecting rod is fixedly connected with one side of the grab bucket, and the other end of the connecting rod is detachably connected with the bottom end of the inverted T-shaped push rod; a top flange of the inverted T-shaped push rod is detachably connected with the bottom flange of the cylinder through threads, and the inverted T-shaped push rod is powered by the cylinder to push and pull. The device has simple structure, small volume, light weight, convenient use and placement, reduced occupancy rate of production site space and flexible use; the invention adopts a remote control mode, mechanized operation, higher safety and labor saving.

Abstract: A method of unlocking a vehicle of a user having a handheld device based on visual domain and radio frequency (RF) domain technologies is provided. The method comprises activating an on-board apparatus of the vehicle when the handheld device of the user is within a threshold distance from the vehicle. The method further comprises comparing a visual domain position of the user based on visual domain data with an RF domain position of the user based on RF domain data by a first equation, |dvisualti(X)?dRFti(X)|<?d and a second equation, |?visualti(X)??RFti(X)|<??. The method further comprises validating the user when the first and second equations are true and unlocking the vehicle after the user is validated.

Abstract: According to one or more examples, a system includes an observer vehicle, and a vehicle in a predetermined vicinity of the observer vehicle. The observer vehicle detects an operating condition of the vehicle using one or more perception devices. The observer vehicle determines that the operating condition does not satisfy a predetermined norm. The observer vehicle generates a message indicating the operating condition of the vehicle. The observer vehicle identifies a communication identifier of the vehicle. The observer vehicle sends the message to be received by the vehicle using the communication identifier via a vehicle to everything (V2X) communication module.

Abstract: Examples described herein provide a computer-implemented method that includes includes receiving, by a processing device of a vehicle, first road data. The method further includes receiving, by the processing device of the vehicle, second road data from a sensor associated with the vehicle. The method further includes identifying, by the processing device of the vehicle, an object based at least in part on the first road data and the second road data. The method further includes causing, by the processing device of the vehicle, the object to be illuminated.

Abstract: In various embodiments, methods and systems are provided for processing data pertaining to a vehicle event for a vehicle. In accordance with an exemplary embodiment, vehicle sensor data is obtained from one or more vehicle sensors pertaining to the vehicle event. Also in an exemplary embodiment, an assessment of the vehicle event is determined via a processor, including as to a fault or a severity, or both associated with the vehicle event, based on the vehicle sensor data.

Abstract: A method and system for dynamically configurable remote data collection from a subject vehicle in response to a task-specific data query is described. This includes the subject vehicle, and a second controller that wirelessly communicates with the subject vehicle, wherein the second controller is an off-board controller that is located remote from the subject vehicle. In one embodiment, the off-board controller is an element of a cloud computing system.

Abstract: Embodiments herein include a method executable by a processor coupled to a memory. The processor is local to a vehicle can operable to determine initial location and direction information associated with the vehicle at an origin of a trip request. The processor receives one or more frames captured while the vehicle is traveling along a navigable route relative to the trip request and estimates an execution time for each of one or more computations respective to an analyzing of the one or more frames. The processor, also, off-loads the one or more computations to processing resources of a cloud-based system that is in communication with the processor of the vehicle in accordance with the corresponding execution times.

Abstract: A system and method for locating a traffic light at a host vehicle. A probe vehicle obtains image data on an intersection that includes the traffic light when the probe vehicle is at the intersection and identifies the traffic light in the intersection from the data. A remote processor creates an observed node in a digital map corresponding to the traffic light and updates a mapped position of a mapped node within the digital map based on an observed position of the observed node. The host vehicle uses the mapped node of the digital map to locate the traffic light when the host vehicle is at the intersection.

Abstract: A latency masking system for use in an autonomous vehicle (AV) system includes a sensors module providing sensor data from a plurality of sensors. The sensor data includes image frames provided by a vehicle camera and vehicle motion data. A wireless transceiver transmits the sensor data to a remote server associated with a network infrastructure and receives remote state information derived from the sensor data. An on-board function module receives the sensor data from the sensors module and generates local state information. A state fusion and prediction module receives the remote station information and the local state information and updates the local state information with the remote state information. The state fusion and prediction module uses checkpoints in a state history data structure to update the local state information with the remote state information.

Abstract: A system, method and server for a controlling a relation between a vehicle and traffic flow over a road segment. The system includes a telemetric device of the vehicle and a processor of the server. The telemetric device obtains telemetric data related to the road segment being traversed by the vehicle. The processor determines a property of the road segment based on the telemetric data and a road profile for the road segment, determines a disruption score indicative of a level of disruption in the traffic flow for the road segment based on the property, and outputs a notification signal when the disruption score is above a selected disruption threshold. The notification signal is usable for controlling the relation between the vehicle and the traffic flow.

Abstract: The present invention relates to gastrointestinal diseases, such as non-infectious gastrointestinal diseases, including the immune mechanism of non-infectious gastrointestinal diseases in children, and the use of phosphodiesterase inhibitors and/or antiplatelet drugs in the treatment of gastrointestinal diseases such as non-infectious gastrointestinal diseases.

Abstract: A latency masking system for use in an autonomous vehicle (AV) system. The latency masking system comprises a sensors module providing sensor data from a plurality of sensors. The sensor data includes image frames provided by a vehicle camera and vehicle motion data. A wireless transceiver transmits the sensor data to a remote server associated with a network infrastructure and receives remote state information derived from the sensor data. An on-board function module receives the sensor data from the sensors module and generates local state information. A state fusion and prediction module receives the remote station information and the local state information and updates the local state information with the remote state information. The state fusion and prediction module uses checkpoints in a state history data structure to update the local state information with the remote state information.

Abstract: A system and method for sharing a digital key for a vehicle. The system includes a first digital key device having a digital key stored thereon, a second digital key device, and a vehicle server. The first digital key device sends a request to the vehicle server for a key sharing session. The vehicle server commences a key sharing session in response to the request. The first digital key device shares the digital key to a second digital key device. The vehicle server ends the key sharing session.

Abstract: Systems and methods to perform traffic signal management for operation of autonomous vehicles involve obtaining vehicle data from two or more vehicles at an intersection with one or more traffic lights. The vehicle data includes vehicle location, vehicle speed, and image information or images. A method includes determining at least one of three types of information about the one or more traffic lights based on the vehicle data. The three types of information include a location of the one or more traffic lights, a signal phase and timing (SPaT) of the one or more traffic lights, and a lane correspondence of the one or more traffic lights. The method also includes providing the at least one of the three types of information about the one or more traffic lights for the operation of autonomous vehicles.