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: A boarding position setting method, a boarding position setting device, and a boarding position setting system are provided. The boarding position setting method, the boarding position setting device, and the boarding position setting system each recognizes a stop position of a vehicle based on vehicle information, determines whether the stop position is suitable for boarding based on a stop time of the vehicle or occurrence of a boarding event of the vehicle at the stop position, stores the stop position determined to be suitable for boarding as a boarding position in the vehicle dispatch service, acquires a first vehicle dispatch request to the vehicle dispatch service and sets the boarding position based on the first vehicle dispatch request from among stored boarding positions.

Abstract: The disclosure includes embodiments for extracting roadway features from Vehicle-to-Everything (V2X) data to build a map having an improved accuracy. In some embodiments, a method for a connected vehicle includes transmitting, via a communication unit of the connected vehicle, a V2X message that includes V2X data. The method includes receiving, via the communication unit, map data describing a map that depicts one or more roadway features in a roadway region of the connected vehicle. The one or more roadway features are generated through a vehicle clustering analysis based on an aggregation of the V2X data in the roadway region so that an accuracy of the map is improved. The method includes modifying an operation of a vehicle control system of the connected vehicle based on the map data to improve the operation of the connected vehicle by reducing a risk of a collision involving the connected vehicle.

Abstract: Sensor data indicating a substantially 360 degree surrounding of a vehicle is received via a processor included in the vehicle. The sensor data is collected using multiple sensors included in the vehicle. Additionally, an acceptable response time range for a driver of the vehicle to perform an action with the vehicle is obtained, via the processor, based on the sensor data. Additionally, an actual response time for the driver to perform the action is determined, via the processor, based on CAN data collected from a CAN bus included in the vehicle, and not based on the sensor data. Additionally, a determination is made, via the processor, that the actual response time is not within the acceptable response time range. Additionally, a remedial action is caused, via the processor, to be performed in response to the determining that the actual response time is not within the acceptable response time range.

Abstract: A system for avoiding a collision based on a vision includes a camera for filming a region ahead of a vehicle, a path generating device that sets a travelable region where the vehicle may travel by avoiding an obstacle in a vision of the region ahead of the vehicle filmed by the camera, and generates one or more travel paths in the travelable region, and a motion controller that selects one optimal path from the travel paths to perform a longitudinal control or a lateral control of the vehicle such that the vehicle travels along the optimal path.

Abstract: A vehicle traveling control apparatus for a vehicle identifies a mobile object as a crossing mobile object if the supplementary angle of the angle formed between the velocity vector of the mobile object and the traveling direction of the vehicle is greater than a threshold. In a case where the supplementary angle was equal to or less than the threshold before the identification as the crossing mobile object and where a lateral position of the crossing mobile object is equal to or less than a distance threshold at the time of the identification, or in a case where the size of the crossing mobile object has been less than a predetermined value for a predetermined period of time or longer and where the lateral position is equal to or less than the distance threshold at the time of the identification, the crossing mobile object is excluded from emergency braking targets.

Abstract: An apparatus for controlling autonomous driving includes: a processor to determine a travelling situation and a lane position, and determine an autonomous driving control maneuver of a vehicle depending on the determination result, and a non-transitory storage medium to store a result calculated by the processor and a set of instructions executed by the processor. The processor determines a safety of each lane of a road on which the vehicle is travelling to control the vehicle to stop on a lane representing a highest safety, after starting a minimum risk maneuver of the autonomous driving control maneuver.

Abstract: Provided is a method for performing communication with a first vehicle in a vehicle network, including: receiving, from a second vehicle, mobility information of the second vehicle, the mobility information including 1) a cooperation context message (CCM) or 2) an emergency context message (ECM); and controlling traveling based on the mobility information, in which the CCM may include motion information of the second vehicle, and the ECM may include information notifying an emergency situation related to the second vehicle.

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.