Abstract: Techniques are disclosed to enable an electronic system for use in connection with navigating a marine vessel to a desired position with respect to a waterline boundary. The system has one or potentially more light detection ranging (LIDAR) sensors for detecting structures across a region by vertically scanning the region using the LIDAR sensors. The system also includes a memory element configured to store characteristics of the detected structure. Additionally, the system includes a processing element that can identify a primary reference point associated with navigation of the marine vessel to the desired position based on the characteristics of the detected structure and display information about a current position of the marine vessel in relation to the desired position.

Abstract: A charging device module for installation in an electrically driveable vehicle, including a charging device and an internal cooling circuit for cooling the charging device, wherein the internal cooling circuit has connections for connection to a superordinate cooling circuit of the vehicle, wherein the connections comprise at least one inlet and at least one outlet, and a bypass line connects the at least one inlet to the at least one outlet while bypassing the internal cooling circuit, wherein an actuable valve is associated with the at least one inlet, by which valve the flow of coolant through the internal cooling circuit and the bypass line can be controlled.

Abstract: Described are techniques for generating, updating, and using sensor-based navigational maps. An input map is generated based on sensor data captured by a first sensor of a first vehicle. The input map is filtered based on one or more criteria to generate a filtered map corresponding to a three-dimensional representation of a route traveled by the first vehicle. The filtering can be based on detecting features using sensor data captured by a second sensor of the first vehicle. The one or more criteria can include object classes, distance criteria, and/or other criteria relating to attributes of features in the sensor data captured by the first sensor and/or the sensor data captured by the second sensor. The filtered map can be stored for transmission to a second vehicle, for use in determining a location of the second vehicle while the second vehicle is traveling along the same route.

Abstract: A vehicle control device includes an external situation recognition unit configured to recognize a crossing person who crosses over a path of a vehicle and acquire information on the crossing person and information on an environment where the crossing person crosses, a scheduled departure time deciding unit configured to decide a scheduled departure time of the vehicle based on the information on the crossing person and the environment where the crossing person crosses when the crossing person is recognized by the external situation recognition unit, and an informing controller configured to perform a control to inform an outside of the vehicle of the scheduled departure time. The scheduled departure time deciding unit predicts a crossing completion time at which the crossing person recognized by the external situation recognition unit completes the crossing and decides the scheduled departure time based on the crossing completion time.

Abstract: A computer implemented method for providing marine vessel data of a marine vessel with a plurality of sensor devices includes receiving a first sensor data item with first sensor data of a first sensor device of the plurality of sensor devices, associated with a first local timestamp generated based on a local clock; receiving a second sensor data item including second sensor data of a second sensor device of the plurality of sensor devices, associated with a second local timestamp generated based on the local clock and a first universal timestamp generated based on a universal clock; determining time correction value based on the second sensor data item's second local timestamp and the universal timestamp; and generating time information for the first sensor data of the first sensor device using the first local timestamp and the time correction value.

Abstract: An energy system for a vehicle system having a plurality of motors that may include a first power supply assembly that may also include a first battery assembly of a plurality of battery assemblies. The first power supply assembly also may include a first bus coupled to a first motor of the plurality of motors and coupled to the first battery assembly. A second power supply assembly may also be provided that includes a second battery assembly of the plurality of battery assemblies coupled to a second bus that is coupled to a second motor of the plurality of motors. A controller may also be provided that may be configured to vary conduction of electric current from the first battery assembly to the first motor by the first bus based on an operating condition of the second power supply assembly to provide a first input to the first motor that may be different than a second input provided to the second motor by the second battery assembly.

Abstract: A method for calculating a dangerous spot and time for a computer to execute a process includes, detecting, by at least two mobile bodies, an avoidance action, which is an action that indicates a possibility that each mobile body has avoided a collision with another mobile body, based on locus data of a plurality of mobile bodies that belongs to a predetermined area; calculating an evaluation value that indicates a possibility that an avoidance action by one of the two mobile bodies has occurred under an influence of an avoidance action by another one; and calculating, based on the evaluation value, a collision risk in an area where a plurality of mobile bodies is concentrated.

Abstract: Some embodiments include a robot, including: a chassis; a set of wheels coupled to the chassis; at least one encoder coupled to a wheel with a resolution of at least one count for every ninety degree rotation of the wheel; a trailing arm suspension coupled to each drive wheel for overcoming surface transitions and obstacles, wherein a first suspension arm is positioned on a right side of a right drive wheel and a second suspension arm is positioned on a left side of a left drive wheel; a roller brush; a collection bin; a fan with multiple blades for creating a negative pressure resulting in suction of dust and debris; a network card for wireless communication with at least one of: a computing device, a charging station, and another robot; a plurality of sensors; a processor; and a media storing instructions that when executed by the processor effectuates robotic operations.

Abstract: One or more instances of sensor data collected using an autonomous vehicle sensor suite can be labeled using corresponding instance(s) of sensor data collected using an additional sensor suite. The additional vehicle can include a second autonomous vehicle as well as a non-autonomous vehicle mounted with a removable hardware pod. In many implementations, an object in the sensor data captured using the autonomous vehicle can be labeled by mapping a label corresponding to the same object captured using the additional vehicle. In various implementations, labeled instances of sensor data can be utilized to train a machine learning model to generate one or more control signals for autonomous vehicle control.

Abstract: In exemplary embodiments, methods, systems, and vehicles are provided, with the vehicle including vehicle systems, a communication bus, a first processor, and a communication bus transceiver. The first processor is configured to at least facilitate: determining whether a potential safety concern is present pertaining to control the vehicle systems; and providing communications along the communication bus of the vehicle, the communications including an indication of the potential safety concern. The communication bus transceiver is coupled to the first processor and configured to at least facilitate: recognizing the indication of the potential safety concern; and inhibiting the control for the vehicle systems when the indication of the potential safety concern is recognized by the communication bus transceiver.

Abstract: A method of controlling a mobile work machine on a worksite including receiving an indication of an object detected on the worksite, determining a location of the object relative to the mobile work machine, receiving an image of the worksite, correlating the determined location of the object to a portion of the image, and generating a control signal that controls a display device to display a representation of the image with a visual object indicator that represents the detected object on the portion of the image.

Abstract: A steering controller includes a torque command value calculator configured to calculate a torque command value used as a target value of the motor torque. The torque command value calculator has a hysteresis component calculator configured to calculate a hysteresis component added such that the command value component has hysteresis characteristics and changes accordingly with respect to change of a state quantity that changes in accordance with operation of the steering device. The hysteresis component calculator is configured to calculate the hysteresis component by adding the hysteresis differential component to the hysteresis basic component.

Abstract: A method of proximity sensing on a marine vessel includes storing at least one zone map, wherein the zone map divides an area surrounding the marine vessel into two or more zones. Proximity measurements measured by one or more proximity sensors on the marine vessel are received, and the proximity measurements are then divided into zone sets based on a location of each proximity measurement with respect to the zone map. A closest proximity measurement in each zone set is then identified and a zone-filtered dataset is generated. The zone-filtered dataset contains only the closest proximity measurement from each zone set.

Abstract: The disclosure includes embodiments of systems, methods, and a kit to monitor remotely operational conditions of a pump engine and a pump mounted on a marine barge during offloading operation of barge petroleum product contents. According to an embodiment, a marine barge monitoring system may include a housing connected to the marine barge in a position to monitor the pump engine and the pump and having an electronic assembly positioned in the housing. The marine barge monitoring system also may include one or more sensors communicatively connected to the relay control module via the input/output module; a status monitoring and communication device communicatively connected to the relay control module; a warning indicator connected to the electronic assembly; and one or more remotely positioned monitoring servers having a memory positioned remote from the marine barge and in communication with the status monitoring and communication device.

Abstract: The present invention relates to a multimodal sensing positioning system orientated to a high-risk production environment, the positioning system comprising: at least one positioning terminal, configured to be worn by a to-be-positioned subject and use at least one positioning technique to conduct multimodal sensing positioning so as to identify a current location information of the subject in the high-risk production environment; and a monitoring terminal, communicating with the positioning terminal so as to remotely monitor the current location of the subject. The present invention improves positioning precision while ensuring realtimeness of multimodal positioning.

Abstract: The present invention relates to methods and arrangements for assigning a vehicle to a lane in a road for a vehicle. The proposed solution obtains an estimated pose for the vehicle, projects the pose to nearby lanes, obtains uncertainty values for the pose and lanes, creates a distribution by combining the pose and lane uncertainties, creates a momentary likelihood for the vehicle being in each lane, adjusts the momentary likelihoods with prior values obtained in a previous iteration, and determines the most likely lane.

Abstract: When on-water control means 20 having moving means and capable of moving near a water surface controls a multiple underwater vehicles 30 which cruise in water, the moving means 23 controls movement of the on-water control means 20 such that the multiple underwater vehicles 30 are located in a control region X where the on-water control means 20 can position the multiple underwater vehicles 30 utilizing acoustic positioning means 24 provided in the on-water control means 20. According to this, it is possible to deploy and operate the multiple underwater vehicles in water and safely and efficiently carry out survey operation and the like such as water bottom exploration.

Abstract: The present disclosure is directed to apparatus, methods, and non-transitory storage medium for controlling the maximum speed of a vehicle as that vehicle travels along a route. Apparatus and methods consistent with the present disclosure may receive location information from an electronic device that is located at a vehicle and may provide information to the electronic device at that controls the maximum speed of the vehicle as speed limits change along the route.

Abstract: The home position estimation system includes a GNSS receiver, an object detection device for detecting an object in surroundings of the hybrid vehicle, an identifying part configured to identify the object detected by the object detection device, and a position estimating part configured to estimate a position of the hybrid vehicle based on an output of the GNSS receiver. If a predetermined condition is satisfied and the object identified by the identifying part is an object indicating a boundary of a low emission zone which requires that the internal combustion engine be stopped, the position estimating part is configured to judge whether the hybrid vehicle is located within the low emission zone, regardless of the output of the GNSS receiver, based on a result of identification by the identifying part.

Abstract: A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.