Abstract: This application is directed to aerial view generation for vehicle control. A vehicle obtains a forward-facing view of a road captured by a front-facing camera of a vehicle and applies a machine learning model to process the forward-facing view to predict determine a trajectory of the vehicle and a road layout based on a Frenet-Serret coordinate system of the road for the vehicle. The trajectory of the vehicle is combined with the road layout to predict an aerial view of the road, and the aerial view of the road is used to at least partially autonomously drive the vehicle. In some embodiments, the machine learning model is applied to process the forward-facing view to determine a first location of each of an obstacle vehicle in the Frenet-Serret coordinate system. The first location of the obstacle vehicle is converted to a vehicle location on the aerial view of the road.

Abstract: Disclosed are a driving guide system and method. The driving guide system includes an input unit configured to receive signal information from a signal controller, a memory in which a driving guide program using the signal information is embedded, and a processor configured to execute the program. When it is not possible to recognize a traffic light using a camera, the processor determines a driving behavior using the signal information and then performs autonomous driving according to the driving behavior or provides a notification to a driver.

Abstract: It is presented a method performed in a vehicle action determiner for determining an undesired action of a first vehicle and a resulting action. The method comprises: detecting that a first user is focusing on the first vehicle; acquiring brain activity data of the first user; determining a negative reaction of the first user based on the brain activity data; determining when the first vehicle is performing an undesired action based on the first user focusing on the first vehicle and the negative reaction of the first user; determining the resulting action taken by an autonomous vehicle, based on the first vehicle performing the undesired action; and triggering the autonomous vehicle to perform the resulting action.

Abstract: A weight management system for managing vehicle seat occupant body weight by using vehicle cameras and weight sensors of a plurality of vehicles having onboard communication modules. Each vehicle is equipped to analyze and compare weight changes of the vehicle seat occupant over time. Based on the weight status, a weight management recommendation can be transmitted to the vehicle seat occupant. Each vehicle is operatively connected to a weight management application in a data center. The weight management application includes a registration module which registers each vehicle. Additionally, a vehicle seat occupant may register with the weight management application to have his/her weight analyzed when travelling in any of the plurality of vehicles. The weight management application requests a search of a data lake and analysis of search results by a weight data artificial intelligence analytics program to improve the weight management recommendation.

Abstract: A cooling control system and method for a motor vehicle comprising: a server unit and N client units, wherein N is greater than or equal to 1, the server unit being in data connection with the N client units via a wireless network, the N client units configured to be arranged on N motor vehicles respectively, each client unit configured to perform real-time collection and storage of calculation input data on the corresponding motor vehicle for evaluating a temperature of a unit requiring cooling on the motor vehicle, perform real-time collection and storage of temperature data of the unit requiring cooling, predict, using the collected calculation input data, temperature data at a future time of the unit requiring cooling based on a predictive mathematical model determined by the server unit (200), and enable the selective cooling in advance of the unit requiring cooling based on the predicted temperature data.

Abstract: The present disclosure provides systems and methods for tracking and scoring robot or machine performance. The robot or machine performance may comprise a metric that can be computed based on operational data for the robot or machine.

Abstract: A computer-implemented process receives into memory, information designating a task to be performed on an industrial vehicle. The task has a metric associated therewith. The process also extracts vehicle operational data that is generated on the industrial vehicle in response to the industrial vehicle executing the task. The process further receives into memory, information identifying a set of target scores, each target score of the set of target scores defining a different measure of performance associated with the task. The process yet further computes a task evaluation score for each target score in the set of target scores based upon the corresponding measure of performance associated with the task, and creates an adjusted task evaluation indicative of industrial vehicle performance that takes into account an aggregation of the task evaluation score computed for each target score in the set of target scores.

Abstract: A method and system to facilitate monitoring of vehicles, riders, and drivers that includes receiving, using a communication device, and input related to driver energy and driver availability from one or more driver devices. Further, the method may include a step of analyzing, using a processing device, the input related to driver energy to determine energy levels of the one or more drivers. Further, the method may include matching, using the processing device, the rider with a driver based on the analyzing. Further, the method may include transmitting, using the communication device, a notification to the rider device and a matched driver device.

Abstract: Techniques for generating earthmoving flow vectors for assisting control of a construction machine are disclosed. A design elevation map of an earthmoving site may be obtained. The design elevation map may include a plurality of design elevation points of the earthmoving site. An actual elevation map of the earthmoving site may be obtained. The actual elevation map may include a plurality of actual elevation points of the earthmoving site. A dual-layer input graph may be formed based on the design elevation map and the actual elevation map. The dual-layer input graph may include a plurality of nodes related through a plurality of connections. A flow graph may be generated by solving the dual-layer input graph. The flow graph may include a set of flow vectors indicating movement of the earth within the earthmoving site.

Abstract: Systems and methods are disclosed for generating a display of a navigation map. The system may comprise a historical data source device having, for example, a historical data source computer and a database storing historical data associated with one or more of vehicle accident data, traffic data, vehicle volume data, vehicle density data, road characteristic data, or weather data. The system may comprise a map data processing device having a map data processing computer and memory storing computer-executable instructions that, when executed by the map data processing computer, cause the map data processing device to, for example, determine, based on a location determining device, a location of a vehicle. The map data processing system may determine one or more historical factors based on the location of the vehicle. The map data processing system may receive, from the historical data source device and for the location, historical data associated with the one or more historical factors.

Abstract: Systems and methods for automated vehicle sensor calibration and verification are provided. One example method involves monitoring a vehicle using one or more external sensors of a vehicle calibration facility. The sensor data may be indicative of a relative position of the vehicle in the vehicle calibration facility. The method also involves causing the vehicle to navigate in an autonomous driving mode, based on the sensor data, from a current position of the vehicle to a first calibration position in the vehicle calibration facility. The method also involves causing a first sensor of the vehicle to perform a first calibration measurement while the vehicle is at the first calibration position. The method also involves calibrating the first sensor based on at least the first calibration measurement.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: This work machine is provided with a clutch mechanism which is provided on a motive power transmission path between a drive source and a wheel. The clutch mechanism is provided with: a drive shaft with which drive force from the drive source is transmitted; a key member which is provided so as to be capable of moving relative to the drive shaft; a driven member which is driven by the drive shaft via the key member; an impelling member which impels the key member towards the driven member; and a ratchet holder which is provided with an engagement groove and a guide part, and which is provided so as to be capable of rotating coaxially with the drive shaft.

Abstract: A vehicular trailer guidance system includes an electronic control unit (ECU), a plurality of vehicle cameras and at least one trailer camera including a rear trailer camera disposed at a rear portion of a trailer hitched to the vehicle. A display screen is disposed in the vehicle and viewable by a driver of the vehicle. The display screen displays video images derived from captured image data, with the displayed video images including bird's-eye view images of a region at least partially surrounding the vehicle and trailer including an area rearward of the trailer hitched to the vehicle. During a reversing maneuver, and via processing of captured image data, an instruction for maneuvering the vehicle and trailer in reverse toward a target location is generated by the ECU. The generated instruction includes at least an instruction pertaining to steering of the vehicle during the reversing maneuver.

Abstract: A movable body comprising a monitoring device configured to monitor a surrounding environment of the movable body through a window member, a heating device configured to heat a portion of the window member within a monitoring area of the monitoring device, an air conditioning device, and a control device, wherein operation modes of the control device include a first mode in which both the heating device and the air conditioning device are driven, and a second mode in which the driving force of the air conditioning device is smaller than that in the first mode, and the control device evaluates the degree of fog on the portion of the window member and determines one of the operation modes based on the result of evaluation.

Abstract: Systems and vehicle are provided. A vehicle system for a vehicle includes: a trajectory selection module configured to select a potential vehicle path relative to a current vehicle movement condition; a trajectory movement condition module configured to estimate a modeled movement condition of the vehicle along the potential vehicle path; a limit comparison module configured to determine whether the modeled movement condition violates vehicle limits; and a violation indicator module configured to generate an indication of impending violation.

Abstract: A signal processing IC unit performs image processing with respect to an output from a camera. A recognition processing IC unit performs recognition processing based on the output from the signal processing IC unit. A control IC unit outputs a control signal based on the output from the recognition processing IC unit. A first terminal is electrically connected to the recognition processing IC unit. A second terminal is electrically connected to the control IC unit. The signal processing IC unit, the recognition processing IC unit, and the control IC unit are disposed on a board. The first terminal and the second terminal are provided on an edge portion of the board.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise at least one processor. The processor may be programmed to receive images representative of an environment of the host vehicle and analyze the images to identify a first object and a second object. The processor may determine a first predefined navigational constraint implicated by the first object and a second predefined navigational constraint implicated by the second object, wherein the first and second predefined navigational constraints cannot both be satisfied, and the second predefined navigational constraint has a priority higher than the first predefined navigational constraint. The processor may determine a navigational action for the host vehicle satisfying the second predefined navigational constraint, but not satisfying the first predefined navigational constraint and, cause an adjustment of a navigational actuator of the host vehicle in response to the determined navigational action.

Abstract: A system for casual driver ride sharing includes an interface and processor. The interface is to receive a request for a ride from a user, wherein the request includes GPS information for the user. The processor is to determine compatibility between the typical route information and the request for the ride; determine a ranked list based at least in part on the compatibility; and provide a ride offer to a driver of the one or more casual drivers based at least in part on the ranked list.

Abstract: A system and method for reliably and efficiently monitoring and arbitrating the performance of one or more UTM infrastructure systems are provided herein.