Abstract: A method for providing ride-hailing recommendations to an operator includes receiving at least a first initial ride-hailing request and a second initial ride-hailing request from potential ride-hailing users; identifying at least a first route characteristic corresponding to a first route associated with the first initial ride-hailing request; identifying at least a second route characteristic corresponding to a second route associated with the second initial ride-hailing request; calculating a first subsequent ride-hailing request probability; calculating a second subsequent ride-hailing request; determining a first ride-hailing request value based on at least the first route characteristic and the first subsequent ride-hailing request probability; determining a second ride-hailing request value based on at least the second route characteristic and the second subsequent ride-hailing request probability; and displaying the first and second initial ride-hailing requests and the first and second ride-hailing re

Abstract: Aspects of the disclosure provide an apparatus and a method for forming and analyzing connected roads. The apparatus can include processing circuitry. The processing circuitry determines, based on a first map of a region having road segments, a second map having connected roads. One of the connected roads is formed by combining a plurality of the road segments and is longer than a threshold. The processing circuitry determines road complexity of one of the connected roads in the second map for route planning and/or testing.

Abstract: Provided is a technology that allows, inter alia, two different patrol-vehicles to be used to enforce parking regulations. Unique systems and methods, inter alia, allow a patrol vehicle or the like to collect parking data pertaining to parked vehicles, and to wirelessly transmit such parking data to a server. A later patrol vehicle or the like can wirelessly receive parking data related to parking events related to its parking enforcement situation and determine whether parking violations, such as overtime or permit sharing violations, are occurring using a combination of parking data generated locally and extraneous parking data collected by the previous patrol vehicle.

Abstract: Systems and methods for providing user control of alternate routes are provided. In example embodiments, a networked system receives a ride request from a user that indicates a drop-off location. The networked system identifies a current location of a user (e.g., a rider) and determines a plurality of routes from the current location of the user to a drop-off location. The plurality of routes is displayed on a user interface of a device of the user. In response, a selection of a route from the plurality of routes is received by the networked system. The networked system then causes presentation of a driving route corresponding to the selected route on a device of a driver and the device of the user.

Abstract: A method and a processor for controlling in-lane movement of a Self-Driving Vehicle (SDV) are provided. The method comprises: acquiring initial kinematic data associated with an obstacle; determining future kinematic data associated with the obstacle; acquiring initial kinematic data associated with the SDV; determining future kinematic data associated with the SDV which is indicative of at least two candidate future states of the SDV at a future moment in time; determining at least two candidate state-transition datasets for the SDV to transition from the initial state of the SDV to a respective one of the at least two candidate future states of the SDV using only in-lane movement; determining, by the electronic device, an energy efficiency score for a respective one of the at least two candidate state-transition datasets; determining a target state-transition dataset for the SDV based on respective energy efficiency scores.

Abstract: A method, an apparatus, and a system for recommending a location of a charging station of a robot are disclosed. The method includes obtaining movement path information from one or more robots in a space including a plurality of regions, determining density of each of the plurality of regions based on the obtained movement path information, and determining a recommended location of a charging station for charging the one or more robots from the plurality of regions based on the determined density. In a 5G environment connected for the Internet of things, the method for recommending a location of a charging station is implemented by executing an artificial intelligence algorithm or machine learning algorithm.

Abstract: The disclosed systems can regulate access to an online mode for a dynamic transportation matching system. For example, based on a provider efficiency parameter associated with the dynamic transportation matching system, the disclosed systems can prevent a transportation provider device from switching to the online mode within a geographic area. In addition, the disclosed systems can detect a pattern of behavior and, based on a comparison between the pattern of behavior and a behavioral threshold, cause a transportation provider device to switch from the online mode to an offline mode. Further, the disclosed systems can provide a map interface that indicates where a transportation provider device can switch from the offline mode to the online mode. Additionally, the disclosed systems can determine priorities associated with transportation provider devices and, based on the prioritization, selectively allow the transportation provider devices to switch from the offline mode to the online mode.

Abstract: A computer-implemented method of providing a recommendation as to a fault determination for a motor vehicle collision is disclosed. The method may include receiving unstructured text describing the circumstances of the collision. The unstructured text is evaluated an associated intent related to the circumstances of the motor vehicle collision is identified. The intent is mapped to an internal node of a decision tree corresponding to a set of fault-determination rules. The computer then successively prompts and receive input responsive to the prompting that corresponds to details of the circumstances of the collision. The computer may identify, based on the received input, a path through the decision tree ending at a leaf node that corresponds to a fault-determination rule governing motor vehicle collisions that matches the circumstances of the motor vehicle collision. The recommendation is then provided based on that rule. Related systems and computer-readable media are also disclosed.

Abstract: A navigation system for a host vehicle is provided. The system may comprise at least one processing device programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify at least one vehicle-induced occlusion zone in an environment of the host vehicle; and cause a navigational change for the host vehicle based, at least in part, on a size of a target vehicle that induces the identified occlusion zone.

Abstract: Provided are a vehicle motion control device, a method thereof, a program thereof, a system thereof in which it is adapted for traveling situation while an occurrence of an unstable behavior of a vehicle at the time of automatic lane change is suppressed, and a target trajectory generation device, a method thereof, a method thereof, a program thereof, and a system thereof. In a vehicle that can automatically control a lateral acceleration generated in the vehicle at the time of lane change, the lateral acceleration at the time of lane change is controlled such that an absolute value of a maximum lateral acceleration generated on a lateral acceleration generation phase (the secondary steering side) in a lateral direction opposite to the moving direction at the time of lane change is equal or more than an absolute value of a maximum lateral acceleration generated on a lateral acceleration generation phase (primary steering side) in the same direction as a lateral moving direction at the time of lane change.

Abstract: Among other things, techniques are described for conditional motion predictions. The techniques include generating, by a planning circuit, a set of candidate trajectories for a vehicle based on possible macro actions by the vehicle, predicting, by the planning circuit and for at least some trajectories in the set of candidate trajectories, a response by a target vehicle to the respective trajectory and a probability of the response by the target vehicle, selecting, by the planning circuit, a trajectory from the set of candidate trajectories based at least in part on the response by the target vehicle to the trajectory, the probability of the response by the target vehicle, and characteristics of the trajectory, and operating, by a control circuit, the vehicle based on the selected trajectory.

Abstract: A method for determining at least one characteristic value of a drivetrain, which drivetrain is located in the installed state in a motor vehicle that can be partially or fully electrically driven using the drivetrain and has an electrical part having electrical components and a mechanical part having mechanical components. The electrical part and the mechanical part are coupled via an electrical machine. A predetermined mechanical boundary condition for the electrical machine is set by actuating at least one of the mechanical components of the mechanical part and/or using at least one vehicle-external mechanical component. A control device generates an electrical excitation signal in the electrical part by actuating at least one of the electrical components of the electrical part and detects a response signal using a measuring device of the motor vehicle.

Abstract: One or more driving analysis computing devices in a driving analysis system may be configured to analyze driving data, determine driving behaviors, and determine whether a collision is imminent or has occurred using vehicle-to-vehicle (V2V) communications. Determination of whether a collision has occurred may be based on X-axis, Y-axis, and Z-axis positional data from two vehicles. Driving data from multiple vehicles may be collected by vehicle sensors or other vehicle-based systems, transmitted using V2V communications, and then analyzed and compared to determine various driving behaviors by the drivers of the vehicles.

Abstract: Behavior information input unit receives stop-behavior information about vehicle from automatic-driving control device. Image-and-sound output unit outputs inquiry information for inquiring of an occupant whether a possibility of collision between an obstacle and vehicle is to be excluded from a determination object in automatic-driving control device to notification device, when a distance from one point on a predictive movement route of the obstacle to the obstacle is greater than or equal to a first threshold, and a speed of the obstacle is less than or equal to a second threshold. Operation signal input unit receives a response signal for excluding the collision possibility from the determination object. Command output unit outputs a command to exclude the collision possibility from the determination object to automatic-driving control device.

Abstract: When following control that causes a user vehicle to follow a following target that is a first other vehicle travelling in a user path in which the user vehicle is travelling is being performed, a travel control section transitions from a state in which the first other vehicle is the following target to a state in which the first other vehicle is not the following target, and in a case where an outside recognizing section recognizes a second other vehicle, which is travelling in another path that is not the user path, the travel control section determines whether to set the second other vehicle as the following target based on a prescribed condition.

Abstract: A method and server for training a machine-learning algorithm (MLA) to detect objects in sensor data acquired by a second sensor mounted on a second vehicle located at a second distance from the objects, the MLA having been trained to detect the objects in sensor data acquired by a first sensor mounted on a first vehicle located at a first distance from the objects. First sensor data acquired by the first sensor on the first vehicle is aligned with second sensor data acquired by the second sensor on the second vehicle. The MLA determines objects and objects classes in the aligned first sensor data. The object classes in the aligned first sensor data are assigned to corresponding portions in the aligned second sensor data. The MLA is trained on the labelled portions in the aligned second sensor data to recognize and classify objects at the second distance.

Abstract: Provided herein is a system and method for fleet coordination in a vehicle. The system comprises one or more sensors, one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to perform, capturing current data associated with the vehicle, planning a route of the vehicle based on the captured current data, navigating the vehicle in accordance with the planned route, detecting an instant position of the vehicle while navigating the vehicle, and coordinating a movement of another vehicle with the vehicle based on the detected instant position of the vehicle.

Abstract: An apparatus and method for controlling driving of a vehicle are disclosed. The disclosed method includes: determining, by a determinator, whether smart cruise driving of a vehicle is performed; determining, by the determinator, whether a rear vehicle performs a lane change when the vehicle is in a smart cruise driving state; determining, by the determinator, a collision possibility based on whether the rear vehicle performs the lane change; determining, by the determinator, whether a front vehicle is present; based on the determined collision possibility; and calculating, by a controller, a target distance or a target speed when there is a front vehicle.

Abstract: The described techniques relate to modifying a trajectory of a vehicle, such as an autonomous vehicle, based on an overlap area associated with an object in the environment. In examples, map data may be used, in part, to generate an initial trajectory for an autonomous vehicle to follow through an environment. In some cases, a yield trajectory may be generated based on detection of the object, and the autonomous vehicle may evaluate a cost function to determine whether to execute the yield or follow the initial trajectory. In a similar manner, the autonomous vehicle may determine a merge location of two lanes of a junction, and use the merge location to update extents of an overlap area to prevent the autonomous vehicle from blocking the junction and/or provide sufficient space to yield to the oncoming vehicle while merging.

Abstract: A road surface determination apparatus includes an acceleration detector and a road surface determination unit. The acceleration detector is configured to detect an acceleration of a vehicle body or a vibration transmission member configured to transmit vibration from a tire to the vehicle body. The road surface determination unit is configured to determine a condition of a surface of a road, using a determination value obtained by extracting a component of a predetermined frequency band from the acceleration detected by the acceleration detector and integrating the component.