Abstract: Techniques to predict object behavior in an environment are discussed herein. For example, such techniques may include determining a trajectory of the object, determining an intent of the trajectory, and sending the trajectory and the intent to a vehicle computing system to control an autonomous vehicle. The vehicle computing system may implement a machine learned model to process data such as sensor data and map data. The machine learned model can associate different intentions of an object in an environment with different trajectories. A vehicle, such as an autonomous vehicle, can be controlled to traverse an environment based on object's intentions and trajectories.

Abstract: Systems, apparatuses and methods may provide for technology that generates, via a first neural network such as a grid network, a first vector representing a prediction of future behavior of an autonomous vehicle based on a current vehicle position and a vehicle velocity. The technology may also generate, via a second neural network such as an obstacle network, a second vector representing a prediction of future behavior of an external obstacle based on a current obstacle position and an obstacle velocity, and determine, via a third neural network such as a place network, a future trajectory for the vehicle based on the first vector and the second vector, the future trajectory representing a sequence of planned future behaviors for the vehicle. The technology may also issue actuation commands to navigate the autonomous vehicle based on the future trajectory for the vehicle.

Abstract: A method, a computer program, an apparatus, a transportation vehicle, and a traffic entity for updating an environmental model at a transportation vehicle. The method for a traffic entity and for updating a first environmental model at a transportation vehicle includes receiving information related to the first environmental model from the transportation vehicle wherein the first environmental model has at least first information on an object in an environment of the transportation vehicle and the first environmental model includes confidence information related to the first information. The method also includes obtaining information related to a second environmental model of the transportation vehicle at the traffic entity wherein at least second information on the object in the environment of the transportation vehicle and the second environmental model includes confidence information related to the second information.

Abstract: A method and system for providing a companion autonomous vehicle are described. In one embodiment, a method includes linking a companion autonomous vehicle to at least one vehicle, device, or user. The companion autonomous vehicle is tethered to the at least one vehicle, device, or user such that the companion autonomous vehicle is configured to stay within a predetermined range of the at least one vehicle, device, or user. The method further includes operating the companion autonomous vehicle to travel along with the tethered at least one vehicle, device, or user within the predetermined range.

Abstract: The disclosure describes embodiments for modifying a whether an ego vehicle changes lanes to a target lane at a target time based on a payload of a Vehicle-to-Everything (V2X) message originated by a remote vehicle. In some embodiments, a method includes determining, based on the payload, whether the remote vehicle is changing lanes to the target lane at the target time. The method includes determining that the ego vehicle is changing lanes to the target lane at approximately the target time. The method includes estimating that the ego vehicle and the remote vehicle will collide at the target lane at the target time. The method includes modifying an operation of a vehicle component of the ego vehicle so that the ego vehicle does not change lanes to the target lane at the target time.

Abstract: A method for detecting and processing the carriageway condition of a carriageway on which a vehicle is driven, by means of at least one noise sensor provided on the vehicle, in particular by means of at least one mechanical vibration sensor, wherein noise signals travelling through the vehicle are sensed by a noise sensor and conclusions as to the carriageway condition are drawn from the sensed noise signals. According to said method, the section of route on which the vehicle is currently being driven is determined, the determined carriageway condition is assigned to the section of route, said section of route and the carriageway condition that has been determined and assigned to the section of route are transmitted to a computer network, in particular to a cloud-based computing service, and the information relating to the carriageway condition assigned to a section of route is made available via the computer network.

Abstract: Systems and methods are provided for receiving location data for a first location and a second location and generating a plurality of candidate routes to travel from the first location to the second location, based on the location data, each candidate route comprising a plurality of segments. The systems and methods further generate a safety score for each segment of each candidate route of the plurality of candidate routes, generate a safety score for each candidate route based on safety scores generated for each segment associated with each candidate route, select a best candidate route using the safety score associated with each of the candidate routes, and provide a recommendation for a travel route comprising the best candidate route.

Abstract: Aspects of the present disclosure provide a network control center that coordinates candidate vehicles suited for platooning based at least in part on the hours of service (HOS) requirements, customer constraints, and service time of each candidate vehicle. Further, the network control center may integrate a navigation system that incorporates one or more of the above factors to manage logistics associated with platooning vehicles.

Abstract: A driving assistance device includes a first acquisition unit that acquires hazardous event data for notifying the occurrence of a hazardous event during driving from a driving situation sensing device provided in a vehicle, a second acquisition unit that acquires a deterioration degree of a traveling environment registered in advance in association with a position where the driving situation sensing device senses the hazardous event data, and a determination unit that determines, on a basis of the hazardous event data and the deterioration degree of the traveling environment, whether a hazardous event indicated by the hazardous event data was caused by a driving operation of the driver of the vehicle or the traveling environment.

Abstract: A vehicle includes a permission unit configured to permit a remote operation using a remote operation device outside the vehicle, a transmission unit configured to transmit, to the remote operation device, information on surroundings of the subject vehicle acquired from sensors, a receiving unit configured to receive a remote operation signal that is input by an operator outside the vehicle via the remote operation device, a travel control unit configured to remotely drive the vehicle based on the remote operation signal, and a replacement reception unit configured to, while the vehicle is remotely driven, receive an instruction from an occupant to replace the operator.

Abstract: Embodiments, systems, and techniques for vehicle operation assistance are provided herein. Vehicle operation assistance may be provided by a method. An example method includes transmitting a help request for help to a help center based on an emergency status of an occupant of a vehicle. The method also includes receiving availability information from the help center. The availability information indicates availability of one or more potential leader vehicles in an area. The method yet further includes placing the system in a follower mode based on a selection of a leader vehicle from the one or more potential leader vehicles by establishing a connection with the potential leader vehicle. In follower mode the vehicle is a follower vehicle. The method additionally includes wirelessly receiving a navigation instruction from the leader vehicle. The method includes executing a driving maneuver in an autonomous fashion based on the navigation instruction from the leader vehicle.

Abstract: An information processing device includes a control unit. The control unit acquires actual traveling information about a first vehicle that travels along a first traveling route, and generates control information for reproducing a traveling state of the first vehicle on the first traveling route, based on the acquired traveling information about the first vehicle.

Abstract: Method, control unit, and target arrangement of a leading vehicle for triggering a follower vehicle, which is situated at a lateral distance from the leading vehicle, to coordinate its movements with the leading vehicle. The target arrangement comprises a target configured to be placed at a lateral distance from to the leading vehicle. The target is also configured to be recognized by at least one forwardly directed sensor of the follower vehicle.

Abstract: An object is to provide a light-irradiation technique that are capable of making the driver of a vehicle around a vehicle platoon aware of changes in the vehicle configuration of the vehicle platoon. During no changes in the vehicle configuration of a vehicle platoon, a controller performs control in such a manner that an irradiation device of the vehicle casts light in a steady-state mode common in the vehicle platoon. In a process where the vehicle merges with another of the vehicle alone or another of the vehicle platoon, the controller performs control in such a manner that the irradiation device of the merging vehicle casts light in a transition mode. In a process where the vehicle leaves the vehicle platoon, the controller performs control in such a manner that the irradiation device of the leaving vehicle casts light in the transition mode.

Abstract: A method determines a quality characteristic, in which the quality characteristic is representative for the procurement of a vehicle-specific friction coefficient of a vehicle and a standardized friction coefficient of a friction coefficient map. The friction coefficient data are received, the friction coefficient data being representative for a friction coefficient measured depending upon the position of a vehicle and a quality characteristic representative for the vehicle. The friction coefficient map is provided, the friction coefficient being representative for standardized friction coefficients of a vehicle fleet of a route network. Depending upon the friction coefficient data and the friction coefficient map, the quality characteristic is determined again and transmitted to the vehicle.

Abstract: An emitting device (26) for a scanning optical detection system of a vehicle for monitoring at least one monitoring region (14) for objects is described, having at least one light source (40a, 40b) for generating at least one optical emission signal (32a, 32b) and having at least one diffraction unit (50a, 50b), which has a diffractive effect on the at least one emission signal (32a, 32b), for controlling at least one beam direction (66a, 66b) of the at least one emission signal (32a, 32b). At least one diffraction unit (50a, 50b) which is settable to set the beam directions (66a, 66b) associated with the respective signal paths (41a, 41b), is arranged in at least two different signal paths (41a, 41b) of one emission signal or various emission signals (32a, 32b).

Abstract: A reversing-assistance system for a vehicle, in particular for a utility vehicle, that exhibits a vehicle wiring harness, including: at least one sensor with a first wireless interface, to register a rear region of the vehicle and to transmit corresponding sensor signals in wireless manner; and a control unit, which is connected to the vehicle wiring harness and which includes a second wireless interface, to receive the sensor signals from the at least one sensor in wireless manner, to evaluate the sensor signals and to make them available; in which the control unit is configured to evaluate vehicle-related data independently of the sensor signals and, based on the data, to carry out a control of at least one component of the vehicle so as to perform a control function that is independent of the reversing assistant. Also described are a related method, a computer readable medium, and a utility vehicle.

Abstract: The disclosed computer-implemented method may include identifying a transportation task within a dynamic transportation network, accessing a database of door closing event locations, wherein the database is populated from observed door closing events within the dynamic transportation network, determining location information specifying at least one of a pickup location and a drop-off location for the transportation task based at least in part on the database of door closing event locations, and providing the location information to a transportation provider computing device, wherein a transportation provider performs the transportation task that comprises at least one of picking up a transportation requestor at the pickup location and dropping off the transportation requestor at the drop-off location. Other methods, systems, and computer-readable media are disclosed.

Abstract: A vehicle control apparatus according to the present invention outputs a signal regarding a target braking/driving force for guiding a vehicle in a target traveling direction to a braking/driving controller. The signal regarding the target braking/driving force is acquired based on information regarding a running route of the vehicle and a physical amount regarding a motion state of the vehicle. The vehicle control apparatus outputs a signal regarding a steering correction torque for correcting a steering torque according to a behavior of the vehicle to a steering force controller. The signal regarding the steering correction torque is acquired based on a vehicle-body slip angle of the vehicle and the target braking/driving force.

Abstract: A system and method for the classification of geographic locations based on vehicle trip logs, including: grouping a plurality of trip records by vehicle, wherein the plurality of trip records include start times and locations and stop times and locations; sorting the plurality of trip records for a vehicle in one of descending or ascending order with respect to stop times; calculating a plurality of time differences between consecutive trips of the plurality of trip records; storing the plurality of time differences in a stop time array; for a first plurality of time differences, storing the associated stop locations in a first location array; for a second plurality of stop times, storing the associated stop locations in a second location array; and computing a time difference median for each of the first location array and the second location array and returning the time difference medians as results for each location.