Abstract: A method for operating a rail vehicle network, in which a plurality of rail vehicles travel. The rail vehicles determine their respective position in the rail vehicle network by forming position information. Each of the rail vehicles transmits its position information to a route-side central unit, and the central unit forwards the received position information to all rail vehicles in the rail vehicle network. The rail vehicles each have their own collision monitoring unit, which checks the received position information for a possible risk of a collision with one or more of the other rail vehicles, and generates a collision warning signal in the event that a collision risk is established.

Abstract: A vehicle braking and warning method includes: acquiring first target information within a detection range of the binocular stereo camera, second target information within a detection range of a millimeter-wave radar, and current vehicle driving information; acquiring sensing result data about a target obstacle in accordance with the first target information and the second target information in conjunction with a predetermined weight; and outputting a braking instruction and/or a warning instruction in accordance with the sensing result data and the current vehicle driving information so as to enable a vehicle to adjust its driving state in accordance with the instructions.

Abstract: A method for the adaptation of a driving behavior of a vehicle by a control unit. Measurement data collected by at least one radar sensor and/or LIDAR sensor are received and, by evaluating the received measurement data, at least one obstacle within a scanning range of the radar sensor and/or LIDAR sensor is ascertained. Based on the ascertained obstacle and an installation position of the radar sensor and/or LIDAR sensor, a section of the scanning range concealed by the obstacle is ascertained. An object prediction is generated for the concealed section of the scanning range that a dynamic object may potentially cross a driving lane of the vehicle from the concealed section of the scanning range. A driving behavior of the vehicle is adapted as a function of the situation based on the object prediction. A control unit, a computer program, and a machine-readable storage medium are also described.

Abstract: Exemplary methods and systems provide for production of geographically located, accurate indoor maps of physical spaces and provide navigation guidance for users in physical spaces, and process requests for users related to available physical space within said physical spaces. Aggregated information about the physical spaces is curated and converted using automated procedures into a data model that contains all elements of said physical spaces, including geographic data about the physical space's location on the globe. The system and computer program embodiments retrieve the converted data, load it on mobile devices or computers, rendering it on these devices in the correct global geographic context, allowing users to interact with the data to select rooms, and send and receive requests to and from external systems regarding these selections. Users navigate within the physical spaces using mobile devices and the computer program embodiments in tandem to provide accurate directions and guidance.

Abstract: Systems and methods for controlling navigation of an autonomous vehicle for making an unprotected turn while traversing an intersection. The methods may include identifying a loiter pose of an autonomous vehicle for stopping at a point in an intersection before initiating an unprotected turn, initiating navigation of the autonomous vehicle to the loiter pose when a traffic signal is at a first state, determining whether the traffic signal has changed to a second state during or after navigation of the autonomous vehicle to the loiter pose, and in response to determining that the traffic signal has changed to the second state, generating a first trajectory for navigating the autonomous vehicle to execute the unprotected turn if the expected time for moving the autonomous vehicle from a current position to a position when the autonomous vehicle has fully exited an opposing conflict lane is less than a threshold time.

Abstract: Example embodiments described in this disclosure are generally directed to systems and methods for preventing vehicular mishaps. In an example method, an object detector mounted on a building or a roadside fixture, detects an object in a detection coverage area of the object detector. The object is undetectable by a collision avoidance system of a vehicle. The object detector conveys information about the object to a supervisory computer. The information can include, for example, a location and/or a direction of travel of the object (if the object is moving). The supervisory computer evaluates the information and transmits an alert to the collision avoidance system of the vehicle, so as to prevent a collision between the vehicle and the object. In an example situation, where the object is a pedestrian, the supervisory computer may also transmit a warning alert to a personal communication device of the pedestrian.

Abstract: Techniques are disclosed for sharing sensor information between multiple vehicles. A system for sharing sensor information between multiple vehicles, can include an aerial vehicle including a first computing device and first scanning sensor, and a ground vehicle including a second computing device and second scanning. The aerial vehicle can use the first scanning sensor to obtain first scanning data and transmit the first scanning data to the second computing device. The ground vehicle can receive the first scanning data from the first computing device, obtain second scanning data from the second scanning sensor, identify an overlapping portion of the first scanning data and the second scanning data based on at least one reference object in the scanning data, and execute a navigation control command based on one or more roadway objects identified in the overlapping portion of the first scanning data and the second scanning data.

Abstract: Systems and methods are provided for navigating a vehicle to veer around a lane obstruction safely into a neighboring lane. The system may plan a trajectory around the obstructed lane. Over a temporal horizon, the system determines temporal margins by measuring an amount of time between a predicted state of a moving actor in the neighboring lane and a predicted state of the vehicle. The system identifies a minimum temporal margin of the temporal margins and determines whether the minimum temporal margin is equal to or larger than a required temporal buffer. If the minimum temporal margin is equal to or larger than the required temporal buffer, the system generates a motion control signal to cause the vehicle to follow the trajectory to veer around the obstruction into the neighboring lane. Otherwise, the system generates a motion control signal to cause the vehicle to reduce speed or stop.

Abstract: Control methods and systems including a smart vehicle, a smart mobile device including a processor, a memory communicatively coupled to the processor, and machine readable instructions stored in the memory that may cause a system to perform at least the following when executed by the processor: use the smart mobile device to automatically control functionality of smart features of the smart vehicle based on an applied control logic and environmental inputs and/or use the smart mobile device to automatically control a wireless routing selection between a local area network associated with the smart vehicle and a remote wide area network based on an application tool switch logic.

Abstract: A safe passing system for a vehicle includes: a road ambient environment sensing system (101), configured to obtain sensing information of a road ambient environment in real time, process the sensing information to obtain vehicle driving assistance information, and send the vehicle driving assistance information to a vehicle-mounted terminal (102); and the vehicle-mounted terminal (102), configured to receive the vehicle driving assistance information, and plan a driving route according to the vehicle driving assistance information and vehicle-acquired information.

Abstract: A method for preventing an operation of a car application that causes a quality of service of an operation of a computer system of a vehicle to be reduced below a threshold can include receiving, from a separate source, a value indicative of the quality of service of the operation of the computer system during the operation of the car application in conjunction with the operation of the computer system. The method can include determining an existence of a condition. The condition can be that the value is less than the threshold. The method can include causing, in response to a determination of a lack of the condition, the car application to be in a condition to be operated on the vehicle. The method can include preventing, in response to a determination of the existence of the condition, the car application from being in the condition to be operated.

Abstract: Vehicle behavioral monitoring includes determining a measure of distraction of the operator of a target vehicle, characterizing the type or category of distraction, determining level of risk that the target vehicle poses, and invoking various responses including host vehicle notifications and evasive actions and external notification and information sharing.

Abstract: A vehicle is configured to transport a passenger through autonomous travel. The vehicle includes an in-vehicle camera configured to image the passenger to generate an image, a camera controller configured to control the in-vehicle camera, and a passenger information detection unit configured to detect information about the passenger. The passenger information detection unit measures the number of passengers and the camera controller stops an operation of the in-vehicle camera in a case where the number of passengers is one.

Abstract: According to one aspect, systems and techniques for lane selection may include receiving a current state of an ego vehicle and a traffic participant vehicle, and a goal position, projecting the ego vehicle and the traffic participant vehicle onto a graph network, where nodes of the graph network may be indicative of discretized space within an operating environment, determining a current node for the ego vehicle within the graph network, and determining a subsequent node for the ego vehicle based on identifying adjacent nodes which may be adjacent to the current node, calculating travel times associated with each of the adjacent nodes, calculating step costs associated with each of the adjacent nodes, calculating heuristic costs associated with each of the adjacent nodes, and predicting a position of the traffic participant vehicle.

Abstract: Embodiments of the present application provide a method and a device for optimizing a target operation speed curve in an ATO of a train. The method includes: calculating a plurality of performance indexes of the train driving in a current section of a line, and constructing an objective function for optimizing the target operation speed curve of the train according to the plurality of performance indexes; determining constraint conditions of the objective function according to speed limit information of the line and running time of the train in the current section; and solving the objective function according to the constraint conditions based on a differential evolution algorithm to obtain the target operation speed curve of the train. The objective function for optimizing the target operation speed curve of the train are constructed using the plurality of performance indexes, which makes the optimization of the train speed curve more accurate.

Abstract: A vehicle traveling control system according to the example in the present disclosure communicates with an automatic operation control system which drafts a traveling plan of the vehicle, and performs an automatic traveling control for automatically running the vehicle along the traveling plan received from the automatic operation control system. The vehicle traveling control system predicts a risk based on information about surrounding environment of the vehicle, and performs, when the risk is predicted, a risk avoidance control to intervene in the automatic traveling control in order to avoid the risk. When the risk avoidance control is executed, the vehicle traveling control system transmits information on the risk avoidance control to the automatic operation control system.

Abstract: A system, a method and a device for planning a driving path for a vehicle are described. In one example aspect, the device is configured to: analyze sense data to obtain positioning data of vehicles; assign vehicle transportation tasks to an unmanned vehicle and a manned vehicle in the predetermined area in accordance with a predetermined transportation task, each vehicle transportation task including a transportation start point and a transportation end point; plan driving paths for the unmanned vehicle and the manned vehicle based on the assigned vehicle transportation tasks, the vehicle positioning data and map data; transmit the assigned transportation task and the planned driving path for the unmanned vehicle to the unmanned vehicle; and transmit the assigned transportation task and the planned driving path for the manned vehicle to a mobile device corresponding to the manned vehicle.

Abstract: A computer-implemented method for controlling a vehicle comprises: receiving tracking data associated with a surrounding environment of the vehicle; detecting, based upon the tracking data, an object in the surrounding environment of the vehicle; determining a location of the object; determining, based on navigation assistance data, whether the location of the object is at least partially within a classified area in the surrounding environment; and configuring a control system of the vehicle to: initiate, based upon determining that the location of the object is not at least partially within the classified area, a first collision avoidance response procedure for responding to the object; and initiate, based upon determining that the location of the object is at least partially within the classified area, a second collision avoidance response procedure for responding to the object, the second collision avoidance response procedure different from the first collision avoidance response procedure.

Abstract: A message can be received from a first object. The message can include information about a position of the first object. An electromagnetic energy can be caused to be transmitted in a direction of the first object at a time in which the first object is in motion. A reflection of the electromagnetic energy can be received from the direction of the first object. A first possible position of a second object can be determined based on the reflection of the electromagnetic energy having traveled entirely along a path defined by a line formed by the first object and the vehicle. A second possible position of the second object can be determined based on the reflection of the electromagnetic energy having traveled along a path outside of the line. An actual position of the second object being the second possible position of the second object can be determined.

Abstract: A vehicle orientation determination system includes one or more processors configured to determine a first distance between a reference device disposed on a first vehicle and a front device disposed on a second vehicle. The first and second vehicles are both disposed on a route. The one or more processors are further configured to determine a second distance between the reference device disposed on the first vehicle and a rear device disposed on the second vehicle. The front device is located more proximate to a front end of the second vehicle than a proximity of the rear device to the front end. The one or more processors are configured to determine that the second vehicle has a common orientation as the first vehicle relative to the route based on the first distance being less than the second distance.