Abstract: A travel route selection system for an electric truck includes a map information acquisition unit that acquires map information including transport route information on transport routes. An electric power consumption map storage unit is adapted to pre-store a stop-time electric power consumption map used to estimate electric power consumption during the stoppage time during which the electric truck stops for a predetermined period with high-voltage equipment kept in operating state. A stoppage time estimation unit estimates stoppage time on each transportation route. An electric power consumption estimation unit estimates the electric power consumption on each of the transportation routes based on the stoppage time estimated by the stoppage time estimation unit as well as on the stop-time electric power consumption map. An optimal route selection unit selects an optimal route based on fundamental information including information on the amount of electric power consumption of each of the transport routes.

Abstract: An approach is provided for detecting and/or verifying a traffic incident (e.g., a road closure) on one of nearby paths that are susceptible to location sensor errors, digital map errors, and/or map mis-matching errors. The approach involves, for example, determining sensor data collected from one or more sensors of one or more devices traveling on either road link of the at least two road links connected at an intersection point. The approach also involves aggregating the sensor data to said either road link of at least two road links. The approach further involves filtering the sensor data based on a distance threshold from the intersection point. The approach further involves determining a traffic incident on said either road link based on the filtered sensor data.

Abstract: An adaptive traffic management system includes a plurality of traffic lights positioned at a plurality of roadway intersections. Associated with each intersection is one or more sensors to detect traffic flow. A control system is connected to the traffic lights and the sensors and based upon data received and predetermined weights for various situations generates a signal timing plan that operates the traffic lights. The control system also may be connected to multiple sources, wearables, and/or in-vehicle sensors that are also used to generate the signal timing plan and operate the traffic lights.

Abstract: The present disclosure relates to generating maneuvering trajectories using Machine Learning (ML) model. The ML model scores each candidate maneuvering trajectories based on a plurality of dynamic profile parameters. A candidate maneuvering trajectory from a plurality of candidate maneuvering trajectories, having a best trajectory score is selected as the final maneuvering trajectory and is provided to the vehicle for navigating according to the final maneuvering trajectory. The final maneuvering trajectory is the most ideal trajectory as it is generated using the ML model based on the plurality of dynamic profile parameters. Also, the vehicle navigation is most efficient when navigated according to the final maneuvering trajectory.

Abstract: Provided herein is technology related to a distributed driving system (DDS) that provides transportation management and operations and vehicle control for connected and automated vehicles (CAV) and intelligent road infrastructure systems (IRIS) and particularly, but not exclusively, to methods and systems for sending individual vehicles with customized, detailed, and time-sensitive control instructions and traffic information for automated vehicle driving, such as vehicle following, lane changing, route guidance, and other related information.

Abstract: A smart governor system that intercepts and adjusts throttle commands when certain criteria are met based on vehicle operations and a user-selected transmission mode. The governor, when engaged, reduces a throttle command in order limit engine and/or ground speed.

Abstract: An example implementation includes (i) receiving sensor data that indicates topographical features of an environment in which a robotic device is operating, (ii) processing the sensor data into a topographical map that includes a two-dimensional matrix of discrete cells, the discrete cells indicating sample heights of respective portions of the environment, (iii) determining, for a first foot of the robotic device, a first step path extending from a first lift-off location to a first touch-down location, (iv) identifying, within the topographical map, a first scan patch of cells that encompass the first step path, (v) determining a first high point among the first scan patch of cells; and (vi) during the first step, directing the robotic device to lift the first foot to a first swing height that is higher than the determined first high point.

Abstract: A vehicle system includes: a controller configured to communicate with a map server; and a vehicle position acquiring device configured to acquire own vehicle position information. The controller includes: a vehicle position determining unit configured to determine a lane in which an own vehicle is traveling based on the own vehicle position information; a storage unit configured to store an attendant circumstance of the own vehicle; and a recommended lane determining unit configured to determine a recommended lane. The recommended lane determining unit is configured to set a priority of each lane based on map information, determine the lane having a highest priority as the recommended lane, and exclude a travel prohibited lane, in which travel of the own vehicle is prohibited, from a candidate for the recommended lane based on restriction information and the attendant circumstance.

Abstract: An agricultural work machine is provided comprising a surroundings detection device for detecting a surroundings in sections, and one or more controllable working elements, wherein the surroundings detection device generates surroundings detection signals, which can be processed in a control and regulating device assigned to the agricultural work machine, wherein the surroundings detection device is designed as a scanner, which scans the surroundings in scanning planes, and wherein each scanning plane is assigned to the control of working elements.

Abstract: A user control device for a transporter. The user control device can communicate with the transporter via electrical interface(s) that can facilitate communication and data processing among the user interface device and controllers that can control the movement of the transporter. The user control device can perform automated actions based on the environment in which the transporter operates and the user's desired movement of the transporter. External applications can enable monitoring and control of the transporter.

Abstract: A work machine (lawnmower) comprises: a main body unit having a work unit that performs a prescribed operation; and a travel motor that generates a rotational drive force that causes at least the main body unit to travel. The work machine also comprises: a travel operation unit that issues command information relating to the rotation speed of the travel motor; and a control unit that varies the rotation speed of the travel motor commanded by the travel operation unit on the basis of variation in the load on the work unit.

Abstract: There is provided an information processing apparatus that includes an information acquisition unit and a control prediction unit. The information acquisition unit acquires information regarding a location and a posture of a first mobile object that includes a sensing device. The control prediction unit predicts control performed with respect to the sensing device, on the basis of the information regarding the location and the posture and map information, the information regarding the location and the posture being acquired by the information acquisition unit.

Abstract: The present disclosure relates to methodologies, systems, and devices for monitoring metrics associated with a marine vessel. A marine monitoring system includes a machine type communication (MTC) server; a computing device in communication with the MTC server; a user application residing on the computing device; and a marine electronic device located at a marine vessel. The marine electronic device is in communication with the MTC server, and is configured to connect to one or more wired or wireless marine sensors.

Abstract: Systems and methods are described ensuring that a user will be able to consume selected media content in its entirety. In particular, a media guidance application described herein determines an amount of time (102) required to reach a destination (116) and compares time (104) exceeds the amount of time (102) required to reach the destination, it calculates a route (120) for a current trip in which the length of time required to traverse a calculated route corresponds to the play length of the selected media asset.

Abstract: Provided are methods for agent prioritization, which can include determining a primary agent set and generating, based on the primary agent set, a trajectory for the autonomous vehicle. Some methods described also include determining an interaction parameter of agents in the environment. Systems and computer program products are also provided.

Abstract: A computer-implemented method for training a machine learning system for generating driving profiles and/or driving routes of a vehicle including: a generator obtains first random vectors and generates first driving routes and associated first driving profiles related to the first random vectors, driving routes and respectively associated driving profiles recorded in driving mode are stored in a data base, second driving routes and respectively associated second driving profiles recorded in driving mode are selected from the database, a discriminator obtains first pairs made up of first generated driving routes and respectively associated first generated driving profiles and second pairs made up of second driving routes and respectively associated second driving profiles recorded in driving mode, the discriminator calculates outputs that characterize each pair, and a target function is optimized as a function of the outputs of the discriminator.

Abstract: Apparatus, method, and software for assisting human operator in flying drone using remote controller. The apparatus includes an internal data communication interface configured to receive data from the remote controller, an augmented reality display configured to display the data, one or more memories including computer program code, and one or more processors to cause the apparatus to: superimpose, on the augmented reality display, a target symbol indicating a position of the drone while the human operator is looking towards the drone; and superimpose, on the augmented reality display, an orientation symbol indicating an orientation of the drone while the human operator is looking towards the drone.

Abstract: Systems and methods for monitoring a fleet of self-driving vehicles are disclosed. The system comprises one or more self-driving vehicles having at least one sensor for collecting current state information, a fleet-management system, and computer-readable media for storing reference data. The method comprises autonomously navigating a self-driving vehicle in an environment, collecting current state information using the vehicle's sensor, comparing the current state information with the reference data, identifying outlier data in the current state information, and generating an alert based on the outlier data. A notification based on the alert may be sent to one or more monitoring devices according to the type and severity of the outlier.

Abstract: The present teaching relates to method, system, medium, and implementation of human-like vehicle control for an autonomous vehicle. Information related to a target motion to be achieved by the autonomous vehicle is received, wherein the information includes a current vehicle state of the autonomous vehicle. A first vehicle control signal is generated with respect to the target motion and the given vehicle state in accordance with a vehicle kinematic model. A second vehicle control signal is generated in accordance with a human-like vehicle control model, with respect to the target motion, the given vehicle state, and the first vehicle control signal, wherein the second vehicle control signal modifies the first vehicle control signal to achieve human-like vehicle control behavior.

Abstract: An apparatus for mechanically controlling the opening and closing of a gate hingedly mounted at the upper margin of a portal, leveraging the gate from a closed position to either a fully open position or a partially-open resting position. The gate opening function is controlled by a lever-handle actuated gate lifting assembly including a lift leverage bracket carrying a lift actuating rod engageable with a fulcrumatic gate pickup bracket lifting a lifting element of a gate attachment arm providing a hinged connection for the chute gate. The gate closing-catch function is controlled by a pivoting gate stop bracket carried on a second gate attachment arm; the gate stop bracket is biased to have a catch end ridable along an edge of a second riser mount for the second hinged connection for the gate, until the catch end seats or lodges in a closing-catch notch of the second riser mount.