Abstract: A method at a computing device in an intelligent transportation system for reconfiguring a road segment, the method including receiving a request from a second computing device associated with a vehicle to change a configuration for the road segment; determining a road segment configuration; and reconfiguring the road segment based on the determined road segment configuration.

Abstract: Technologies for intelligent traffic optimization include a directional flow server that receives dynamic traffic data from traffic infrastructure devices in a monitored region. The traffic data may include traffic volume data and traffic control status data. The server updates a dynamic layer of a high-definition map based on the dynamic traffic data. The high-definition map also includes a static layer and a directional flow layer. The server optimizes the directional flow in response to updating the dynamic layer. The directional flow layer is indicative of traffic direction associated with roads in the monitored region. The server may optimize each of several sub-regions and then optimize connection roads between the regions. The server may distribute the optimized directional flow layer to consumers such as traffic control devices, autonomous vehicles, and other subscribing devices. Other embodiments are described and claimed.

Abstract: Apparatuses, methods, and systems disclosed herein that improve the safety and enhance the quality of interactions between law enforcement officers and drivers. In one example embodiment, a method is provided in which, during a traffic stop, a first device associated with an officer's vehicle obtains information about a driver's vehicle, queries a database for network address information associated with a driver device associated with the driver's vehicle, and receives the network address information from the database. The first device may then transmit a connection request to the second device using the received network address information; and a connection may be established between the two devices.

Abstract: An all terrain vehicle may include a frame and a plurality of ground-engaging members supporting the frame. Each of the plurality of ground-engaging members may be configured to rotate about an axle. The all terrain vehicle may further include a powertrain assembly supported by the frame and a braking system (e.g., an anti-lock braking system (ABS)) including a hydraulic and electric controller unit (HECU) operably coupled to the plurality of ground-engaging members and configured to generate yaw to reduce a turning radius of the all terrain vehicle. The HECU may be configured to control brake pressure to the plurality of ground-engaging members independent of a driver input indicating a braking event.

Abstract: A vehicle control method in a hybrid electric vehicle including an internal combustion engine, a battery, an electric motor, and a control unit. The method includes estimating an estimated vehicle velocity trajectory, estimating an initial engine power trajectory, simulating state of charge of the battery with the vehicle velocity trajectory and the initial engine power trajectory, estimating an initial terminal co-state value, simulating backward co-state dynamics using the state of charge and vehicle velocity trajectory, to obtain a resulting co-state trajectory. The co-state trajectory is used to solve a minimization control and propagate state of charge dynamics forward in time. The method includes updating control and the co-state trajectory, adjusting the terminal co-state value, and controlling a usage of the battery and the internal combustion engine. The method can be performed to optimize the engine power trajectory to minimize fuel consumption in real time.

Abstract: This disclosure describes a system for managing inventory as it transitions into a materials handling facility, as it transitions between locations within a materials handling facility and/or as it transitions out of a materials handling facility. In some instances, a total weight associated with a user pattern may be monitored by sensors of a base surface and weight of inventory items may be monitored by sensors at the inventory locations. When a user associated with the user pattern retrieves an item from an inventory location, the decrease in the weight at the inventory location will correspond with the increase in total weight associated with the user pattern. Accordingly, the item may be tracked from the inventory location and associated with the user pattern based on the corresponding changes in weight.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: An information provision system that allows appropriate information provision suited for a user who is a driver. The information provision system includes a route proposition part that proposes a route based on emotion information detected by an emotion detection part, which detects emotion of a user and spot information associated with the emotion information. The route proposition part sets targeted emotion kinds from a departure spot to a final guiding spot and proposes a route including spots corresponding to the emotion kinds that are set based on the emotion information and the spot information.

Abstract: The driving force control device includes: a requested driving force calculation unit configured to calculate requested driving force requested to the vehicle, in a coasting state where neither an accelerator operation nor a brake operation is performed by a driver; a power train control unit configured to control a gear ratio of the power train on the basis of the requested driving force and driving force that is achieved by the power train in the coasting state; a braking force calculation unit configured to calculate braking force required for achieving the requested driving force, when the requested driving force is smaller than driving force that is achieved by the power train at a gear ratio set by the power train control unit; and a brake control unit configured to cause the brake to generate the braking force calculated by the braking force calculation unit.

Abstract: An information processing apparatus is provided. The information processing apparatus includes: an equipment information acquiring unit that acquires first equipment information indicating equipment of a remotely driven vehicle which is to be remotely driven; an equipment information comparing unit that compares the first equipment information with second equipment information indicating equipment of a remotely driving apparatus that is to remotely drive the remotely driven vehicle; and a display control unit that causes information based on a result of the comparison by the equipment information comparing unit to be displayed.

Abstract: An on-demand transport system is provided which includes a plurality of single-occupant transport devices and a fleet of autonomously driven service vehicles, each of which is adapted to carry at least one single-occupant transport device for its delivery or collection at a respective delivery or return site, following a request from a user. An electronic management system is designed to handle the fleet of service vehicles for delivery or collection of the single-occupant transport devices.

Abstract: The present disclosure relates to a mobile robot capable of communicating with peripheral devices via a 5G communication environment, and recommending an efficient movement route and a location of a charging station via machine learning performed based on such communication. When the mobile robot according to the present disclosure is travelling, a score may be assigned to areas of items according to a type of an item located within a movement space in which the mobile robot moves. Here, a plus score may be assigned to an item area where presence of a socket is verified. Further, a highest score may be assigned to a movement route having a shortest distance required for the mobile robot to return to a charging station which charges a battery of the mobile robot, among the movement routes on which the mobile robot moves.

Abstract: A vehicle includes an engine including a forced induction device, a knock sensor and a crank angle sensor that detect an occurrence of LSPI, a battery that supplies electric power to a second motor generator, and an ECU. When an occurrence of the LSPI is detected, the ECU restricts a maximum torque, which can be output by the engine with the forced induction device, more than when an occurrence of the LSPI is not detected to prevent an engine operating point from being included in an LSPI area, and when an output of the engine becomes insufficient along with the restriction on the maximum torque, the engine compensates for an amount of the insufficient output with electric power supplied from the battery.

Abstract: The invention relates to a method for crane configuration and crane assembly on the basis of an online portal, which holds at least one database with a plurality of standard crane configurations or is connected to the same, with an interface for the user access to the online portal, wherein a crane user virtually composes their individual crane configuration from a plurality of standard configurations and the individual crane configuration is stored on the online portal, wherein at least one further database of the online portal, or an externally connected database, holds assembly information about the stored individual crane configuration, the online portal filters the assembly information relevant in relation to the stored crane configuration and provides it for retrieval by an assembly team.

Abstract: A method for controlling a motion of a robot based on map prediction mainly carries out estimation and calculation for a wall surface by combining an external sensor with internal map information about a robot, so as at least to enable the robot to walk along the estimated wall surface. The method for controlling the motion of the robot based on map prediction can be adapted to various different wall surfaces based on map prediction, including different colors and shapes, thereby reducing an operation time; and the accuracy of map prediction can be continuously corrected during an operation process, thereby realizing a good wall-following behavior.

Abstract: A vehicle seat controller is provided to control a front seat assembly and a rear seat assembly positioned directly behind of the front seat assembly. The vehicle seat controller programmed to receive a first input indicating whether the rear seat assembly is occupied and receive a second input indicating a position of the front seat assembly. The vehicle seat controller is programmed to provide a signal to an actuator to move the front seat assembly forward if the first input indicates the rear seat is occupied and the second input indicates the position exceeds a rearward travel threshold.

Abstract: According to some embodiments, an ADV includes a method to plan a path trajectory. The method initializes a path length to a initial path length and performs a path planning operation using the initial path length. The method determines if the path planning operation successfully generates the path trajectory. If the path trajectory fails to be successfully generated, the method determines a reason for the failure. If the path trajectory fails to be generated for reasons other than an obstacle blocking the vehicle, the method defaults the path trajectory to a backup path. If the path trajectory fails to be generated due to an obstacle blocking the vehicle, the method reduces the path length by an incremental amount to generate a reduced path length. The method performs the path planning operation using the reduced path length until a path trajectory is successfully generated or until a stop condition is reached.

Abstract: Example navigation aids for increasing the accuracy of a navigation system are disclosed herein. An example method disclosed herein identifying, with an aircraft intent description language (AIDL) aid, an AIDL instruction as associated with a first dynamic activity level of a plurality of dynamic activity levels and determining, with the AIDL aid, an aircraft state to be affected by the AIDL instruction. The example method also includes changing, with a navigation filter, a weighting scheme for a measurement of the aircraft state obtained by an inertial navigation system (INS) of the aircraft and estimating, with the navigation filter, a trajectory of the aircraft based on the weighting scheme and the measurement.

Abstract: In exemplary embodiments, methods, systems, and vehicles are provided for controlling operation of a vehicle in a fuel economy mode. In one embodiment, a vehicle is includes a battery, a generator, and a control system for controlling operation of the vehicle in a fuel economy mode, the control system including: (i) one or more current sensors configured to measure a battery current of the battery; and (ii) a processor coupled to the one or more current sensors and configured to at least facilitate controlling operation of the battery and the generator in the fuel economy mode utilizing a dynamic voltage threshold that is adjusted based on a comparison of the battery current with a baseload current threshold.

Abstract: A vehicle ventilating/cooling system may include at least one sun-load sensor arranged within the vehicle, and a controller configured to receive a sun-load signal indicating a sun-load level from the sensor and programmed to instruct at least one cooling component to conduct a purge of vehicle cabin air in response to the sun-load level exceeding a sun-load threshold.