Abstract: A surveying system for a construction site has a restricted antenna system with a plurality of fixed location antennas each defined by a set of location data associated with a specific deployment position. The surveying system also has a computing device with a data processor and a display screen. A communications module establishes a data transfer link with the restricted antenna system over which spatial data for distances between current positions of the computing device and one or more of the plurality of fixed location antennas are received. The computing device is loadable with project drawings corresponding to the construction site and displayable on the display screen. A position marker is overlaid on the display of the project drawing at a position thereon corresponding to a computing device location value derived from the spatial data and the location data of one or more of the fixed location antennas.

Abstract: A method for providing a route in response to a request includes receiving a request for a route, comprising a start location and an end location. The method further includes determining a source based at least in part on the request and obtaining route segments from the source. Additionally, the method includes generating a suggested route, comprising a plurality of the route segments, and transmitting the suggested route in response to the request. The suggested route is generated based at least in part on the start location, the end location, and the route segments. Systems for carrying out the method are also disclosed.

Abstract: A system for digital twinning a refuse vehicle includes a refuse vehicle and a controller. The refuse vehicle includes a sensor, a device, and an electronic control system. The controller is configured to receive multiple datasets from at least one of the sensor, the device, and the electronic control system. The controller is also configured to generate a virtual refuse vehicle based on the plurality of datasets. The virtual refuse vehicle includes a visual representation of the refuse vehicle and the multiple datasets. Each of the multiple datasets are mapped to a corresponding one of the sensors or one of the electronic control systems. The controller is configured to operate a display of a user device to provide the visual representation of the refuse vehicle and one or more of the multiple datasets to a user.

Abstract: A method of operating a vehicle, such as an autonomous vehicle, includes the steps of receiving a message from roadside infrastructure via an electronic receiver and providing, by a computer system in communication with said electronic receiver, instructions based on the message to automatically implement countermeasure behavior by a vehicle system. Additionally or alternatively, the method may include the steps of receiving a message from another vehicle via an electronic receiver and providing, by a computer system in communication with said electronic receiver, instructions based on the message to automatically implement countermeasure behavior by a vehicle system.

Abstract: A control device is configured to cause a vehicle parked in a parking lot to move to a pick-up area in accordance with a call from a user of the vehicle. The control device includes a predicted time calculator and a moving-out vehicle determiner. The predicted time calculator is configured to, with regard to the vehicle that has arrived at the pick-up area in response to the call, acquire a user position and calculate a predicted user arrival time on the basis of the user position. The user position is a current position of the user. The predicted user arrival time is a time in which the user is predicted to arrive at the pick-up area. The moving-out vehicle determiner is configured to determine a moving-out vehicle on the basis of the calculated predicted user arrival time. The moving-out vehicle is a vehicle that is to be moved out of the pick-up area.

Abstract: An apparatus and a method for ascertaining object kinematics of a movable object include: a trajectory calculation filter for calculating an estimated movement direction of the object based on a predicted position of the object and based on a position of the object specified in radar measurement data of the object; and a calculation unit for calculating Cartesian speeds of the object depending on a measured radial object speed and a measured object angle, which are specified in the radar measurement data, and depending on the estimated movement direction of the object that is calculated in the trajectory calculation filter.

Abstract: A vehicle stability control device is mounted on a vehicle in which a front tire wears faster than a rear tire. An equation for calculating a target yaw rate includes a stability factor of the vehicle as a parameter, wherein the calculated target yaw rate becomes lower as the stability factor becomes larger. Understeer degree increases as the target yaw rate becomes higher than an actual yaw rate. When the understeer degree exceeds an activation threshold, vehicle stability control is activated. The vehicle stability control device further performs wear coping processing. In the wear coping processing, a wear degree parameter being wear degree of the front tire or a difference in wear degree between the front tire and the rear tire is calculated. When the wear degree parameter exceeds a wear threshold, the vehicle stability control device corrects the stability factor to be larger than a default setting value.

Abstract: In an embodiment, a method includes receiving, at an autonomous vehicle, reported data regarding an object in proximity to the autonomous vehicle. The data is collected by a collecting device external to the autonomous vehicle, and is relayed to the autonomous vehicle via a server. The reported data includes a current location, type, or predicted location of the object. The method further includes determining whether the reported data of the object matches an object in an object list determined by on-board sensors of the autonomous vehicle. If the determination finds a found object in the object list, the method correlates the reported data of the object to the found object in the object list. Otherwise, the method adds the reported data of the object to an object list of objects detected by sensor from on-board sensors of the autonomous vehicle. In embodiments, the collecting device is a mobile device.

Abstract: A computing system receives first sensor data including moving objects and multi-modal LiDAR map data wherein the first sensor is calibrated based on a cost function that alternates between LiDAR map point cloud data and LiDAR map ground reflectivity data as input. The computing system can operate the vehicle based on the moving objects.

Abstract: A management system that comprises a movement management part that: communicates via communication devices with a plurality of mobile bodies that include autonomous mobile bodies that comprise an autonomous control part that is for autonomous movement; and manages the movement of the plurality of mobile bodies. The autonomous mobile bodies comprise a display device that performs outward-facing display. The movement management part has a superiority determination part that, on the basis of individual information for the plurality of mobile bodies, determines a preference ranking for the movement of the plurality of mobile bodies. The autonomous mobile bodies comprise a display control part that controls the display of the display device in accordance with the preference ranking determined by the superiority determination part.

Abstract: A method may include predicting an acceleration event of a vehicle. The method may further include predicting a maximum speed of the predicted acceleration event. The method may also include determining an engine start time based on the predicted maximum speed. The method may still further include starting an engine of the vehicle at the engine start time.

Abstract: A vehicle stability control device is mounted on a vehicle in which a front tire wears faster than a rear tire. An equation for calculating a target yaw rate includes a stability factor of the vehicle as a parameter, wherein the calculated target yaw rate becomes lower as the stability factor becomes larger. Understeer degree increases as the target yaw rate becomes higher than an actual yaw rate. When the understeer degree exceeds an activation threshold, vehicle stability control is activated. The vehicle stability control device further performs wear coping processing. In the wear coping processing, a wear degree parameter being wear degree of the front tire or a difference in wear degree between the front tire and the rear tire is calculated. When the wear degree parameter exceeds a wear threshold, the vehicle stability control device corrects the stability factor to be larger than a default setting value.

Abstract: Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a computing system or IoT management node might receive sensor data from one or more IoT-capable sensors, analyze the sensor data to determine one or more actions to be taken, and identify one or more devices (e.g., household devices associated with a customer premises; vehicular components associated with a vehicle; devices disposed in, on, or along a roadway; devices disposed throughout a population area; etc.) for performing the determined one or more first actions. The computing system or IoT management node then autonomously controls each of the identified one or more devices to perform tasks based on the determined one or more first actions to be taken, thereby implementing smart environment functionality (e.g., smart home, building, or customer premises functionality, smart vehicle functionality, smart roadway functionality, smart city functionality, and so on).

Abstract: This overload preventing device is mounted on a mobile work machine, and is provided with: a storage unit which stores lifting performance data in which lifting performance is configured for each operation state, and performance region data in which switching angles are configured that define performance regions, including a front region, a back region, and a side region; and a work machine control unit which controls operation of the mobile work machine on the basis of the actual load and the lifting performance corresponding to the present operation state of the mobile work machine. The lifting performance includes a maximum deployment width performance configured for the front region and the back region, and the switching angles are configured for each operation state on the basis of stability calculations and strength factors such as jack strength.

Abstract: A sun visor assembly used in a vehicle is disclosed. The sun visor assembly comprises a sun visor having at least one light intensity sensor for detecting sunlight or light intensity entering the vehicle. The sun visor further comprises a microprocessor for receiving a signal indicating detection of the light intensity entering the vehicle from the light intensity sensor. The sun visor further comprises at least one motor operatively coupled to the microprocessor. In response to the signal, the microprocessor instructs the at least one motor to position the sun visor to block the sunlight or light intensity sensor entering the vehicle.

Abstract: Aerial vehicles may be outfitted with one or more ultrasonic anemometers, each having ultrasonic transducers embedded into external surfaces. The transducers may be aligned and configured to transmit acoustic signals to one another, and receive acoustic signals from one another, along one or more paths or axes. Elapsed times of signals transmitted and received by pairs of transducers may be used to determine air speeds along the paths or axes. Where two or more pairs of transducers are provided, a net vector may be derived based on air speeds determined along the paths or axes between the pairs of the transducers, and used to generate control signals for maintaining the aerial vehicle on a desired course, at a desired speed or altitude, or in a desired orientation. The transducers may be dedicated for use in an anemometer, or may serve multiple purposes, and may be reoriented or reconfigured as necessary.

Abstract: Systems and methods for detecting rogue vehicles within a plurality of vehicles connected via a vehicular ad-hoc network (VANET) are provided. Sensors on each VANET vehicle provide host vehicle data and data associated with other nearby vehicles. Each VANET vehicle multicasts information that includes location, velocity, and preferred future travel path to the other VANET vehicles. Using data from sensors and data received from other VANET vehicles the host vehicle generates a dynamic set of safe vehicle operating behaviors. Nearby vehicles that do not comply with the determined safe vehicle operating behaviors or perform illegal/unsafe acts are identified as rogue vehicles. Data associated with identified rogue vehicles is transmitted to all VANET vehicles.

Abstract: Autonomous vehicle operational management with visual saliency perception control may include operating a perception unit and an autonomous vehicle operational management controller. Operating the perception unit may include generating external object information based on image data received from image capture units of the vehicle and saliency information received from the autonomous vehicle operational management controller.

Abstract: Unmanned vehicles can be terrestrial, aerial, nautical, or multi-mode. Unmanned vehicles may be used to direct vehicle traffic in response to a vehicular accident. For example, an unmanned vehicle may analyze information about the accident scene and based on the information direct traffic near the accident scene.

Abstract: Provided is a drive control device for a vehicle with independently driven wheels, the control device enabling the vehicle to avoid unstable behavior caused by an overrevolution of one of the drive wheels. The vehicle includes left and right motors (6, 6) that independently drive left and right drive wheels (2, 2), respectively. The control device includes: an ECU (21) to generate and output a command torque; an inverter device (22); rotation speed detection modules (34, 34) to detect the rotation speeds of the respective left and right motors (6, 6); and a control module (35) to change the command torques for the respective left and right motors (6, 6) so as to reduce the rotation speeds of the left and right motors (6, 6) when at least one rotation speed between the detected rotation speeds of the left and right motors (6, 6) exceeds a predetermined rotation speed.