A computer includes a processor and a memory storing instructions executable by the processor to receive data indicating a lane change by a first vehicle that is towing a second vehicle, the data including data indicating a direction that first wheels of the first vehicle are turning while the first vehicle is performing the lane change; and during the lane change, instruct a steering system of the second vehicle to turn second wheels of the second vehicle in a same direction as the first wheels.

Systems and methods for clustering human trust dynamics are provided. In one embodiment, a computer implemented method for clustering human trust dynamics is provided. The computer implemented method includes receiving trust data for a plurality of participants interacting with one or more agents in an interaction. The computer implemented method also includes identifying a plurality of phases for the interaction. The computer implemented method further includes extracting features characterizing trust dynamics from the trust data for at least one interaction for each participant of the plurality participants. The at least one interaction is between the participant and an agent of the one or more agents. The computer implemented yet further includes assigning the features characterizing trust dynamics to a phase of the plurality of phases. The computer implemented method includes grouping a subset of the participant of the plurality of participants based on the on features characterizing trust dynamics.

An apparatus for controlling a vehicle includes an object selection device configured to select an object intersecting the vehicle at an intersection existing on a driving path of the vehicle, a risk determination device configured to determine a risk during driving of the vehicle based on a predicted path of the object, and a driving control device configured to determine a driving method of the vehicle based on a risk determination result.

A system including a proximity monitor associated with an entity. The proximity monitor includes a communication interface, a memory, and an electronic processor. The communication interface receives first position state data and identification data associated with a neighboring entity. The electronic processor includes instructions to associate a first shape model with the neighboring entity based on the identification data, determine a first space occupied by the neighboring entity based on the first position state data and the first shape model, identify a proximity event based on the first space occupied by the neighboring entity relative to a position of the entity, and generate an alert based on the proximity event.

A method, apparatus, and system for determining a low-height obstacle based on outputs of a LIDAR device in an autonomous vehicle is disclosed. A point cloud comprising a plurality of points is generated based on outputs of a LIDAR device. For each point within a first number of lowest rings of points, a neighboring point in a same ring to a first direction is determined, and a first and a second coordinate values-related differences are determined. A first, a second, a third, and a fourth quantities are determined based on the first and second differences. In response to determining that the first, the second, the third, and the fourth quantities satisfy a predetermined condition, a low-height obstacle is determined based on the points within the first number of lowest rings of points. Operations of an autonomous vehicle are controlled based at least in part on the determined low-height obstacle.

An operating situation obtaining unit obtains the operating situation information of a plurality of operating vehicles along a predetermined route. A delayed vehicle extraction unit extracts a delayed vehicle that is delayed in actual operation relative to the operation schedule from among the plurality of operating vehicles, based on the operating situation information of the respective operating vehicles. An overtaking instruction unit outputs an overtaking instruction to overtake the delayed vehicle to a following vehicle that immediately follows the delayed vehicle.

Disclosed embodiments include technologies for improving safety mechanisms in computer assisted and/or automated driving (CA/AD) vehicles for protecting vulnerable road users (VRUs). Embodiments include various mechanisms to enable early Responsibility Sensitive Safety (RSS) checks for the CA/AD vehicles driving policy to protect in-danger VRUs. Embodiments also include controlled forwarding mechanisms to notify other CA/AD vehicles and roadside infrastructure when a potentially dangerous situation is detected. Other embodiments are described and/or claimed.

A method of operating a self-driving vehicle is provided. The method includes predicting a trajectory of an agent in a vicinity of the self-driving vehicle. This is done by: receiving sensor data indicative of a current situation in the vicinity of the self-driving vehicle; generating a current situation feature vector based, at least in part, on the sensor data; searching a pre-built bank of library feature vectors to identify a result feature vector from the pre-built bank that is most relevant to the current situation feature vector, wherein each library feature vector in the pre-built bank is associated with an observed trajectory; and predicting the trajectory of the agent based, at least in part, on the result feature vector. The method also includes planning an action of the vehicle based, at least in part, on the predicted agent trajectory, and operating the vehicle according to the planned action.

The present invention relates to a method, a computing device and a computer-readable medium for dividing and providing a work to workers in crowdsourcing, and more particularly, to a method, a computing device and a computer-readable medium for dividing and providing a work to workers in crowdsourcing, in which, when a work is provided to workers in crowdsourcing, the work is segmented into a plurality of zones, and the work segmented into the zones is provided to a plurality of workers to allow the workers to perform tasks for specific zones of the work, respectively, so that a large-scale work is rapidly processed.

An information processing server includes a target vehicle data recognition unit configured to recognize target vehicle data including a traveling state of a target vehicle and position information of the target vehicle on a map, an unstable behavior position recognition unit configured to recognize an unstable behavior position which is a position on the map, at which at least one target vehicle has performed an unstable behavior, based on a plurality of pieces of the target vehicle data, a determination unit configured to determine whether the unstable behavior position is in a continuous occurrence situation or a discontinuous situation, based on whether or not a plurality of the target vehicles perform the unstable behavior at the unstable behavior position, and a storage processing unit configured to store a determination result by the determination unit, in a storage database in association with the unstable behavior position.