Abstract: A system for capturing location-based data includes an interface and a processor. The interface is configured to receive a location-based data description for capturing the location-based data. The processor is configured to determine a location based at least in part on the location-based data description, create a location-based data identification job based at least in part on the location, cause execution of the location-based data identification job to a set of vehicle event recorder systems, wherein the location-based data identification job is executed by a vehicle event recorder system of the set of vehicle event recorder systems to acquire sensor data in response to a vehicle being able to acquire the sensor data related to the location of the location-based data identification job, receive the sensor data from the vehicle event recorder system, and determine the location-based data based at least in part on the sensor data.

Abstract: A machine learning system for maintaining distributed computer control systems for a train may include a data acquisition hub communicatively connected to a plurality of sensors configured to acquire real-time configuration data from one or more of the computer control systems. The machine learning system may also include an analytics server communicatively connected to the data acquisition hub. The analytics server may include a virtual system modeling engine configured to model an actual train control system comprising the distributed computer control systems, a virtual system model database configured to store one or more virtual system models of the distributed computer control systems, wherein each of the one or more virtual system models includes preset configuration settings for the distributed computer control systems, and a machine learning engine configured to monitor the real-time configuration data and the preset configuration settings.

Abstract: A connected-vehicle interface module is provided that includes a connected-vehicle controller, a wireless data connected-vehicle radio for receiving an activation signal indicating a road condition, and a connected-vehicle interface controller.

Abstract: A job aid system and method determine conditions in which a vehicle system is operating or will operate during movement of the vehicle system along one or more routes. A context-sensitive action checklist is selected or generated based on one or more of the conditions. Input from the operator of the vehicle system is received in response to one or more action items in the context-sensitive action checklist that is presented to the operator. An alertness level of the operator is determined based on the input that is received from the operator. One or more alerting actions can be implemented to increase the alertness level of the operator.

Abstract: A lane keep assist system for a vehicle includes a controller that receives first and second signals including values for a distance from a point on the vehicle to an edge of a lane marker for the vehicle's lane of travel at first and second times. The controller determines a rate of change in the distance responsive to the first and second signals and generates a power steering system control signal responsive to the rate of change. The control signal generates a force on a steering gear of the vehicle connected to one or more steerable wheels on the vehicle to control the position of the vehicle relative to the lane of travel with the amount of the force responsive to the rate of change.

Abstract: A cooperative adaptive cruise control (CACC) system acquires a driving pattern of a target vehicle and variably provides an inter-vehicle distance and a responsible speed level of a subject vehicle that are followed by the CACC system based on the driving pattern. The CACC system includes a communication unit receiving vehicle information and road information of a region in which the subject vehicle travels; an information collection unit collecting driving information of a forward vehicle, vehicle information of the subject vehicle, and the road information; and a control unit controlling the inter-vehicle distance and the responsible speed level of the CACC system based on the driving pattern of the target vehicle according to generated control information.

Abstract: An unmanned aerial vehicle (UAV) having at least one sensor for detecting the presence of a survivor in a search and rescue area. The at least one sensor is preferably an ultra-wide band (UWB) transceiver sensor. The UAV includes a UAV data link transceiver for wirelessly communicating information concerning the survivor to a command center.

Abstract: Disclosed herein are system, method, and computer program product embodiments for detecting, alerting, and acting to prevent unattended vehicle deaths. An embodiment operates by receiving one or more signals from one or more presence sensors in a vehicle and analyzing the signals to detect the presence of a person or animal inside the vehicle. The system further receives one or more signals from one or more environment sensors on the vehicle and analyzes the signals to detect a dangerous environmental condition. If the system determines that both the presence of a person or animal has been detected inside the vehicle and a dangerous environmental condition has been detected, it activates one or more vehicle systems that mitigate the dangerous environmental condition and sends an alert to one or more predetermined recipients.

Abstract: Methods and devices for detecting traffic signals and their associated states are disclosed. In one embodiment, an example method includes a scanning a target area using one or more sensors of a vehicle to obtain target area information. The vehicle may be configured to operate in an autonomous mode, and the target area may be a type of area where traffic signals are typically located. The method may also include detecting a traffic signal in the target area information, determining a location of the traffic signal, and determining a state of the traffic signal. Also, a confidence in the traffic signal may be determined. For example, the location of the traffic signal may be compared to known locations of traffic signals. Based on the state of the traffic signal and the confidence in the traffic signal, the vehicle may be controlled in the autonomous mode.

Abstract: A navigation platform may receive information identifying an origin location and a destination location associated with an autonomous vehicle. The navigation platform may identify one or more candidate route segments for a navigation route from the origin location to the destination location. The navigation platform may receive, based on transmitting a query to a geolocation server, wireless communication coverage information for the one or more candidate route segments. The navigation platform may select, based on the wireless communication coverage information, one or more route segments, from the one or more candidate route segments, for the navigation route. The navigation platform may transmit, to the autonomous vehicle, an instruction to navigate the autonomous vehicle along the navigation route.

Abstract: An architecture for monitoring at least one aircraft. The architecture comprises an avionics system configured to generate avionics data during use of the aircraft; a mobile electronic device including an analysis unit configured to convert at least one maintenance operation into operational data; and an alerter configured to display at least one item of monitoring information; and a cloud computing infrastructure. The analysis unit and the alerter are configured to implement a local operating mode and an operating mode connected to the cloud computing infrastructure.

Abstract: Embodiments of the present disclosure provides a method and a system for managing an UAV in a smart city based on IoT. The method includes obtaining requirement information of a user by a general platform of the management platform from the user platform through the service platform, and assigning the requirement information to a corresponding management sub-platform; determining different time domains and different airspaces of at least two UAVs performing missions by the management sub-platform based on the requirement information, wherein the different time domains may have an overlapping interval, and the different airspaces may have an overlapping interval; and controlling the at least two UAVs to perform the different missions in the different time domains and the different airspaces by the management platform, and collecting mission data corresponding to different missions.

Abstract: A vehicle-electrical-apparatus, including: a service-brake-valve-device (SBVD) having an electropneumatic service-brake-device (ESBVD), which is an electronically-brake-pressure-regulated-brake-system (EBPRBS), having an ESBVD, a first-electronic-brake-control-device (EBCD), electropneumatic-modulators (EM) and pneumatic-wheel-brake actuators (PWBA); a sensor-device; the first-EBCD controls the EMs generating pneumatic brake-control-pressures (PBCP) for the PWBAs, and the ESBVD has a service-brake-actuation-member (SBAM) and an electrical-channel containing an electrical-brake-value-transmitter, actuate-able by the SBAM, and a second-EBCD couples brake-request signals into the first-EBCD depending on the AS, and, within a pneumatic-service-brake-circuit, a pneumatic-channel in which a control-piston of the SBVD is loaded with a first-actuation-force (AF) by actuating the service-brake-actuation-member based on a driver brake-request, and the control-piston controls a double-seat valve of the SBVD to generate

Abstract: A computerised method of creating map data from position data derived from the positions (606) of at least one vehicle over a period of time, the map data comprising a plurality of navigable segments representing segments (602,604) of a navigable route (607) in the area covered by the map and the map data also comprising intersections between navigable segments (602,604) representing intersections in the navigable route, the method comprising using a processing circuitry to perform the following steps: i. processing the position data; ii. calculating from the processing of the position data a transit time or set of transit times for at least some of the intersections in the map data; and iii generating further map data, which for at least some of the intersections therein, contains the calculated transit time or set of transit times associated with the intersection for which the calculation was made.

Abstract: In accordance with an example embodiment, a vehicle path planning system and a method for planning a path of a vehicle having a work tool are provided. The method includes determining an actual path through a work area, modifying the actual path with a margin to determine a modified path plan through the work area, and passing the work tool through the work area with the vehicle along the modified path plan.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining sensor data indicative of a surrounding environment of the autonomous vehicle, the surrounding environment including one or more occluded sensor zones. The method includes determining that a first occluded sensor zone of the occluded sensor zone(s) is occupied based at least in part on the sensor data. The method includes, in response to determining that the first occluded sensor zone is occupied, controlling the autonomous vehicle to travel clear of the first occluded sensor zone.

Abstract: A connected-vehicle interface module is provided that includes a connected-vehicle controller, a wireless data connected-vehicle radio for receiving an activation signal indicating a road condition, and a connected-vehicle interface controller.

Abstract: A method for making available at least one individualized user function in a vehicle having at least one user interface includes recording data which is transferred to respective functions assigned to the at least one user interface and/or data which is output by the respective functions assigned to the at least one user interface; transferring the recorded data to a server as a function of a state of the vehicle; determining at least one intention of a user of the vehicle on the basis of the data transferred to the server; and dynamically adjusting the vehicle as a function of the at least one intention of the user, by way of at least one user function which is selected and/or generated on the basis of the at least one intention of the user.

Abstract: An electronic control unit for vehicle capable of receiving a program by communication expands the received program in a volatile memory and executes the expanded program. As an example of this program, there is a program for changing a communication environment for communicating with another unit.

Abstract: An ECU switches a control mode to an HV mode when an SOC decreases to a lower limit during an EV mode. The ECU calculates an evaluation value ?D of high-rate deterioration indicating a deterioration component of a secondary battery due to non-uniformity in salt concentration in a battery. The ECU executes high-rate deterioration inhibiting control when the HV mode is currently selected and when the battery is evaluated as deteriorating based on the evaluation value ?D, the high-rate deterioration inhibiting control being control for increasing the SOC by making a control target of the SOC higher than the lower limit of the SOC. On the other hand, the ECU does not execute the high-rate deterioration inhibiting control when the EV mode is currently selected.