Abstract: A main controller may be used to provide integrated, centralized, and optimized handling of telematics data in welding arrangements. The main controller may receive from other components of a welding arrangement, telematics data, and may apply at least some processing to the telematics data, to enable use of the telematics data by a remote entity. The telematics data may comprises data relating to an engine used in driving one or more components of the welding arrangement, data relating to one or more components of the welding arrangement, and/or data relating to welding operations performed via the welding arrangement. The processing of telematics data may comprise formatting data in accordance with a single standard format, digitizing analog data, and/or processing data for communication to the remote entity. The main controller may provide telematics client and/or host node functions, such as based on the controller area network (CANBus) protocol.

Abstract: A manufacturing process system comprises any number of assembly stations and test stations, a model unit, and any number of final products is provided. Any of a sample test method and the statistical distribution monitoring method performed by the model unit is configured to monitor the model quality after it is deployed and reduce potential unnecessary costs, such as warranty claim costs as a result of sending bad units to the customers, and rework costs as a result of predicting a good part as bad and wasting additional testing efforts on the bad parts. Further, both methods are configured to maximize the probability of detecting hazardous issues, while having control of the false alarm rate.

Abstract: A method for monitoring at least one machine tool (12) featuring the steps (a) real-time detection of time-dependent measurement data (Mi) characterising a production process running on the machine tool (12), (b) provision of the measurement data (Mi) with a time stamp which encodes a time (tj) at which a respective measurement data (Mi) was detected, such that measurement results (Mi(tj)) are obtained, (c) transmission of the measurement results (Mi(tj)) via a non-real-time-capable data bus (26) to an evaluation unit (28), (d) calculation of at least one command (B) from the measurement results by means of the evaluation unit, (e) transmission of the at least one command (B) via the data bus (26) and (f) monitoring of the production process in real-time by means of a programme that contains the command (B).

Abstract: A measurement result analysis device includes: a measurement result classification unit that classifies measurement result information on the basis of the measurement result information in which measurement results of a machine tool and measurement attributes of the measurement results are correlated; a measurement result extraction unit that acquires related information including classifications of the measurement result information on the basis of a content of an analysis result for which it is instructed to output with respect to the measurement result information; and an analysis result display unit that outputs an analysis result for the measurement result information on the basis of the related information acquired by the measurement result extraction unit.

Abstract: Provided is an intrusion detection method that achieves both safety of the worker and high work productivity of the robot. A safety monitoring system includes: a light projector in which a plurality of first light emitting elements that emit light of a first wavelength and a plurality of second light emitting elements that emit light of a second wavelength different from the first wavelength are arranged; an imaging part capturing an image of the light projector; an imaging processing part performing intrusion detection of an object based on the image captured by the imaging part; and a robot control part generating a signal for controlling movement of a robot from a result of performing the intrusion detection. The light projector is arranged on a boundary line of danger prediction for the movement of the robot. The first wavelength is visible light.

Abstract: A sensor power controlling circuit of a machinery health monitoring module includes (1) a positive voltage input for receiving a positive voltage from a galvanically isolated voltage source within the machinery health monitoring module, (2) a sensor power connecter for providing power to a machine sensor, (3) a push-pull comparator having a positive input, a negative input, and an output, (4) a first resistor, (5) a PNP transistor, and (6) a first capacitor. A sensor signal conditioning circuit of the machinery health monitoring module is disposed between a machine sensor and an analog-to-digital converter (ADC). The sensor signal conditioning circuit includes a sensor interface connector, a first and second operational amplifier, a passive Nyquist filter, and first and second gain flattening feedback networks.

Abstract: Disclosed herein are machine learning-based methods and systems for automated object defect classification and adaptive, real-time control of additive manufacturing and/or welding processes.

Abstract: Methods and system for computing integrals over geometric domains using moment-base representations for interoperability are disclosed. A first computing device may receive data for a geometric representation of an object, the geometric representation specifying a geometric domain corresponding to a shape and a contained spatial region of the object. The first computing device may computationally integrate a predetermined set of basis functions over the geometric domain to derive a moment-vector for the object, the moment-vector encapsulating an analytic formulation of the geometric domain that is independent of the geometric representation. The first computing device may then computationally generate quadrature rules for integrating an arbitrary function by applying moment-fitting to the moment-vector. The quadrature rules may be provided to a second computing device.

Abstract: A numerical control device that is integrated with a display unit or is separated from and connected with a display unit includes: a control board including a control processor configured to perform numerical control; and a slot configured to allow for selective insertion of either a graphic board provided with an image processor to control the display unit that is integrated with the numerical control device, or an interface board connected with a communication cable for communication with the display unit that is separated from and connected to the numerical control device.

Abstract: A power tool includes a housing and a sensor, a machine learning controller, a motor, and an electronic controller supported by the housing. The sensor is configured to generate sensor data indicative of an operational parameter of the power tool. The machine learning controller includes a first processor and a first memory and is coupled to the sensor. The machine learning controller further includes a machine learning control program configured to receive the sensor data, process the sensor data using the machine learning control program, and generate an output based on the sensor data using the machine learning control program. The electronic controller includes a second processor and a second memory and is coupled to the motor and to the machine learning controller. The electronic controller is configured to receive the output from the machine learning controller and control the motor based on the output.

Abstract: A product production management system includes a display that displays a progress list screen of progresses in a plurality of product production lines in a factory. When a first system user selects one of the product production lines for which occurrence of an abnormality or delay has occurred, the display transits the progress list screen to a first screen displaying a predetermined one of a plurality of options in order to guide the first system user to more preferentially designate the predetermined option in comparison with other options. The options are necessary to check situations of the selected production line. When a second system user selects one of the product production lines for which occurrence of an abnormality or delay has occurred, the display transits the progress list screen to a second screen displaying a plurality of options that are necessary to check situations of the selected product production line.

Abstract: A solution is proposed for managing one or more industrial products. A method, computer system, and computer program product for creating a reference model providing a formal representation of reference policies according to reference artifacts and creating corresponding activity models providing a formal representation of activities (to be performed on the industrial products) according to corresponding activity artifacts; alignment indicators indicative of an alignment of the activities with the reference policies are calculated according to a comparison between the corresponding activity models and the reference model.

Abstract: Provided is a plant data display processing device including: a data classification unit that classifies operation data into categories according to similarity; an evaluation index calculation unit that calculates an evaluation index of a category from a value of the operation data; and a classification result display processing unit that calculates a representative value of the operation data for each of the categories from the operation data contained in each of the categories, maps identification information of each of the categories to two-dimensional space in accordance with similarity of a representative value of the operation data, and generates three-dimensional image data in which the identification information of each of the categories is shown on a plane formed of a first axis and a second axis, and the evaluation index of the category is shown on a third axis.

Abstract: Methods and systems include ways to synchronize a press machine and tending robots, including a pick robot and a drop robot, where the press machine includes an operating area for pressing a blank into a part. The pick robot and the part are moved out of the operating area while the drop robot carrying the blank is moved into the operating area. At least a portion of the pick robot and/or the part resides within the operating area at the same time at least a portion of the drop robot and/or the blank resides within the operating area. The pick robot is in communication with the drop robot and the movement of the pick robot is synchronized with the movement of the drop robot to prevent the pick robot or part from colliding with the drop robot or the blank.

Abstract: A method for dynamic intelligent scheduling includes following steps: collecting and recording resource constraints of multiple schedules on a production line and decision data of changes made to the schedules by a scheduler; cross-enumerating schedule combinations by using multiple production goals as penalty conditions; establishing a mathematical model based on the resource constraints and multi-objective weights corresponding to each schedule combination and importing the resource constraints to calculate schedule results; recording the penalty condition corresponding to the schedule combination matching the decision data as a valid penalty; using values of parameters corresponding to the valid penalty and values of the penalty conditions respectively as inputs and outputs to train a learning model; and responding to a scheduling request, finding a weight of each schedule combination by using the learning model according to the resource constraint of the current schedule and the production goals, and gene

Abstract: An information processing apparatus includes a first emulator that estimates a behavior of a device for driving a first control target that moves on a first target trajectory and a second emulator that estimates a behavior of a device for driving a second control target that moves on a second target trajectory. A visualization module generates drawing data for visualizing and drawing movement of the first control target and movement of the second control target in a three-dimensional virtual space by using a first command value and a second command value. The first and second emulators calculate the first command value and the second command value that control first and second driving devices in each control cycle according to a calculation command respectively. The calculation command instructs to calculate the command value for setting a movement amount in each control cycle variable.

Abstract: A system for controlling an operating condition of an operating system includes a data collector, controller and processing logic comprising a model of the operating system including sets of operation parameters and correlated operating conditions. Values of a portion of the operation parameters are retrieved and form an initial parameter set which is compared with correlated operating conditions. The processing logic determines a correlated operating condition with a corresponding probability of coincidence and for a matching operating condition with the highest probability of coincidence checks whether other matching operating conditions with a similar probability of coincidence exist.

Abstract: The present disclosure describes systems and methods for interpreting data from a plurality of input sensors, wherein each of the plurality of input sensors is operationally coupled to a component of an industrial environment. Methods including operating a self-organizing network on the data from the plurality of input sensors, thereby determining a structure in the data, determining a reduced dimensionality view of the data in response to the determined structure in the data, wherein the reduced dimensionality view includes fewer dimensions than the data from the plurality of input sensors, and providing the reduced dimensionality view to a user interface are disclosed together with systems therefore.

Abstract: Devices, systems and methods for data acquisition in a food processing environment are disclosed. A device may include an analog switch, a data acquisition circuit to request and receive values corresponding to input sensors connected to the analog switch and associated with a food processing system and a data pool. A device may further include a data storage component to store specifications and anticipated state information for the input sensors, and a response circuit to provide direction regarding a manner in which detection values are requested, wherein the analog switch is adapted to selectively couple, in response to the anticipated state information, at least one of the plurality of inputs to at least one of the plurality of outputs.

Abstract: A system-on-module (SOM) for controlling an unmanned vehicle (UV) is provided. The SOM comprises a circuit board, a first processing system in operative communication with the circuit board, and a second processing system in operative communication with the circuit board. The first processing system includes one or more first processing units and a volatile programmable logic array. The first processing system is configured to execute a first process for the UV. The second processing system includes one or more second processing units and a non-volatile programmable logic array. The second processing system is configured to monitor execution of the first process by the first processing system.

Abstract: Method and apparatus are disclosed for mobile device tethering for vehicle systems based on variable time-of-flight and dead reckoning. An example vehicle includes a communication module to communicate with a mobile device using multiple frequency bands and a body control module. The body control module, at an interval, estimates a location of the mobile device relative to the vehicle using time-of-flight measurements with a first or second frequency band when the location is in a first or second zone respectively. Additionally, between the intervals, the body control module tracks the location using dead reckoning. The body control modules then controls a vehicle subsystem using the location of the mobile device.

Abstract: A first route from a first position to a target waypoint can be determined for a first vehicle. A first planned route from a second position to a planned waypoint for a second vehicle following the first vehicle can then be determined using a first mask positioned in a predefined manner relative to the first route. If it is determined that a direction of a second route for the first vehicle from the target waypoint to a next target waypoint is not substantially parallel with a direction of the first route, a second planned route for the second vehicle can be determined using a second mask positioned in a predefined manner relative to the second route. Movement of the second vehicle is controlled in response to determining a relation between the first planned route and the second planned route.

Abstract: In some embodiments, unmanned aerial task systems are provided that comprise multiple unmanned aerial vehicles (UAV) each comprising: a UAV control circuit; a motor; and a propulsion system coupled with the motor and configured to enable the respective UAVs to move themselves; and wherein a first UAV control circuit of a first UAV of the multiple UAVs is configured to identify a second UAV carrying a first tool system configured to perform a first function, cause a notification to be communicated to the second UAV directing the second UAV to transfer the first tool system to the first UAV, and direct a first propulsion system of the first UAV to couple with the first tool system being transferred from the second UAV.

Abstract: In some embodiments, unmanned task systems are provided that comprise multiple unmanned vehicles each comprising: a control circuit; a motor; and a propulsion system coupled with the motor and configured to enable the respective unmanned vehicles to move themselves; and wherein a first control circuit of a first unmanned vehicle of the multiple unmanned vehicles is configured to identify a second unmanned vehicle carrying a first tool system configured to perform a first function, cause a notification to be communicated to the second unmanned vehicle directing the second unmanned vehicle to transfer the first tool system to the first unmanned vehicle, and direct a first propulsion system of the first unmanned vehicle to couple with the first tool system being transferred from the second unmanned vehicle.

Abstract: A method of controlling a driving speed, which controls a working vehicle at a remote location to be driven on a route at an optical driving speed, is provided. The method includes: calculating terrain data based on a terrain scan image of the route acquired by a terrain scanner of the working vehicle; calculating the optimal driving speed according to the calculated terrain data; generating a driving control signal controlling the working vehicle to be driven on the route at the calculated optimal driving speed; calculating a vibration value of the working vehicle being driven on the route at the calculated optimal driving speed based on a sensing value acquired by a sensor of the working vehicle; adjusting the calculated optimal driving speed according to the calculated vibration value; and regenerating a driving control signal controlling the working vehicle to be driven on the route at the adjusted optimal driving speed.

Abstract: When generating a traveling path for divergent event, a traveling path generation portion judges an occurrence of a traffic jam on a divergent lane. The occurrence of the traffic jam on the divergent lane is judged based on whether or not a surrounding vehicle which satisfies a predetermined condition exist in a search region. If it is judged that the traffic jam is occurring on the divergent lane, a notice for handover from an automatic divergent operation to a manual divergent operation is given to a driver.

Abstract: Provided are a method and a device for assisting with driving of a vehicle, the method including sensing an ambient environment of location of a vehicle by using one or more sensors mounted on or in the vehicle; obtaining sensing information about the ambient environment based on the sensing of the ambient environment; comparing map information stored in the vehicle with the obtained sensing information; determining a map reliability of the map information based on a result of the comparing; and controlling the driving of the vehicle based on the determined map reliability.

Abstract: A driving control apparatus for a vehicle is provided with an environmental condition estimating part including: a surrounding recognizing function that recognizes the vehicle's driving lane; and another vehicle driving on the driving lane; and a function that obtains the vehicle's moving state, a path generating part that generates a target path based on information obtained by the environmental condition estimating part, and a vehicle control part that performs speed control and steering control for causing the vehicle to follow the target path, and configured to be capable of executing an ACC function that performs a constant speed drive or a following drive, an LKA function that keeps the driving within the vehicle's driving lane, an override function that stops the ACC function by operation intervention of a driver, and a function that performs fallback control of the ACC function, the apparatus being configured to alter an ACC override threshold.

Abstract: When a driver camera is determined to operate abnormally during driving control performed in an automatic drive mode, determination is performed as to whether the driver is prepared for manual driving at the time point immediately before the driver camera is determined to operate abnormally. When the driver is determined prepared, a forced switching signal for forcibly switching from the automatic drive mode to the manual drive mode is output. When the driver is determined unprepared, determination is performed as to whether the driver recovers the state prepared for manual driving based on a detection signal output from a torque sensor while the automatic drive mode is retained. When the driver is determined to have recovered the state, the forced switching signal is output.

Abstract: A control system an unmanned vehicle includes a first processing unit configured to execute a primary autopilot process for controlling the unmanned vehicle. The control system further includes a programmable logic array in operative communication with the first processing unit. The control system also includes a state machine configured in the programmable logic array. The state machine is configured to enable control of the unmanned vehicle according to a backup autopilot process in response to an invalid output of the first processing unit.

Abstract: System, methods, and other embodiments described herein relate to selectively processing sensor data to perceive aspects of a surrounding environment of a vehicle. In one embodiment, a method includes, in response to identifying attributes of the surrounding environment from sensor data of one or more sensors, selecting a perception technique from a plurality of perception techniques according to a human-based perception model that correlates the plurality of perception techniques with the attributes to identify which of the plurality of perception techniques efficiently process the sensor data. The method includes analyzing the sensor data using the perception technique to perceive characteristics of the surrounding environment that pertain to autonomously controlling the vehicle. The method includes autonomously controlling the vehicle according to the characteristics to navigate through the surrounding environment.

Abstract: Among other things, a system provides speed behavior planning for vehicles with autonomous driving capabilities.

Abstract: The first autonomous mobile object includes a first controller that controls autonomous movement based on an operation command and a first carrying unit that carries the second autonomous mobile object. The second autonomous mobile object includes a second controller that controls autonomous movement based on the operation command, a payment unit that performs payment for merchandise in a designated store, and a second carrying unit that carries the merchandise. The operation command includes a command that causes the first autonomous mobile object carrying the second autonomous mobile object to move to the store, a command that causes the second autonomous mobile object to get off at the store, move into the store, to perform payment for merchandise, and to carry the merchandise, to get on the first autonomous mobile object, and a command that causes the first autonomous mobile object to move to a designated delivery place.

Abstract: A vehicle control device is provided with: a virtual waypoint arrangement unit that arranges, on a mapping space defined by a first axis extending in the length direction of a virtual lane and a second axis extending in the width direction, a candidate group of virtual waypoints along the first axis; and a mapping conversion unit that performs mapping conversion on at least a part of the candidate group by using mapping conversion information indicating a mapping relationship between a lane and the virtual lane so as to obtain a route point sequence which indicates the location of a travel trajectory on a real space.

Abstract: Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include receiving, at an autonomous vehicle system, a command to control an ambient feature associated with the autonomous vehicle system. One or more courses of action may be determined based on the command. In addition, one or more probabilistic models associated with the one or more courses of action may also be determined. Based on the one or more probabilistic models, confidence levels may also be determined to form a subset of the one or more courses of action. A course of action from the subset of the one or more courses of action may then be executed at the autonomous vehicle system responsive to the command.

Abstract: Systems, apparatuses, and methods are provided herein for field monitoring. A system for field monitoring comprises a plurality of types of sensor modules, an unmanned vehicle comprising a sensor system, and a control circuit configured to: receive onboard sensor data from the sensor system of the unmanned vehicle, detect an alert condition at a monitored area based on the onboard sensor data, select one or more types of sensor modules from the plurality of types of sensor modules to deploy at the monitored area based on the onboard sensor data, and cause the unmanned vehicle and/or one or more other unmanned vehicles to transport one or more sensor modules of the one or more types of sensor modules to the monitored area and deploy the one or more sensor modules by detaching from the one or more sensor modules at the monitored area.

Abstract: Methods and systems for assisting operation of a road vehicle with an aerial drone are provided. In an exemplary embodiment, a method for assisting operation of a road vehicle with an aerial drone includes flying the aerial drone on a route ahead of the road vehicle and sensing an object at a location on the route ahead of the road vehicle with the aerial drone. Further, the method includes communicating data associated with the object and/or the location to the road vehicle. Also, the method includes utilizing the data to operate the road vehicle.

Abstract: Controlling an unmanned aerial vehicle may include obtaining a first image from a fixed orientation image capture device of the unmanned aerial vehicle, obtaining a second image from an adjustable orientation image capture device of the unmanned aerial vehicle, obtaining feature correlation data based on the first image and the second image, obtaining relative image capture device orientation calibration data based on the feature correlation data, the relative image capture device orientation calibration data indicating an orientation of the adjustable orientation image capture device relative to the fixed orientation image capture device, obtaining relative object orientation data based on the relative image capture device orientation calibration data, the relative object orientation data representing a three-dimensional orientation of an external object relative to the adjustable orientation image capture device, and controlling a trajectory of the unmanned aerial vehicle in response to the relative object

Abstract: An unmanned aerial vehicle according to an embodiment of the present disclosure includes a storing part configured to store information regarding a geo-fence area, and flight approval information or shooting approval information of a main body of the unmanned aerial vehicle with respect to the geo-fence area; and a controller configured to, when the main body approaches the geo-fence area, extract approval code from the flight approval information or the shooting approval information, and release at least one of a flight mode and a shooting mode prohibited in the geo-fence area.

Abstract: A processing system for displaying tasks on a map based on context of the tasks includes a mission decomposition module to decompose a mission into a plurality of tasks; a flight planning module to generate a flight plan. The processing system further includes a display to display the task interface to at least one user. The task interface includes the flight plan overlaid on a map and an indicium associated with at least one of the plurality of tasks. The indicium is positioned along the flight plan based at least in part on when the at least one of the plurality of tasks is to be performed. The processing system further includes a flight control system to execute the at least one of the plurality of tasks.

Abstract: Disclosed herein is a mover including an object detecting unit and either a masking processing unit or a transmission restricting unit as an additional processing unit. The object detecting unit detects an object based on a reception signal output from a receiver unit by having a transmitter unit transmit a scanning wave and by having the receiver unit receive a reflected wave, which is a component, reflected from the object, of the scanning wave. The masking processing unit performs masking processing of masking, in accordance with a timing at which, and/or a direction of incidence in which, a disturbance wave, not depending on the scanning wave, is incident on the receiver unit, a portion of the reception signal output from the receiver unit. The transmission restricting unit restricts a transmission range in which the transmitter unit transmits the scanning wave.

Abstract: A route setting method capable of causing a host vehicle to continuously follow traveling tracks of other vehicles including a preceding vehicle so as to travel stably uses a peripheral vehicle sensor installed in the host vehicle to detect positions of other vehicles traveling around the host vehicle, and a controller for setting a route of the host vehicle according to traveling tracks of the other vehicles based on histories of positions of the other vehicles, the method including calculating a displaced amount of traveling tracks of the preceding vehicle specified from the other vehicles, and setting the route of the host vehicle according to traveling tracks of another vehicle different from the preceding vehicle when the displaced amount of the traveling tracks of the preceding vehicle is a threshold or greater.

Abstract: An autonomous travel work vehicle 1 including: a body part (2); a work machine (24) attached to the body part; a moving GPS antenna (34) configured to detect positional information on the body part; a memory (309) configured to store a field (H) where the body part travels; a control section (30) configured to control travel of the body part and work by the work machine in the field (H); and a remote control device 112 that generates a route (R) of the body part in the field (H). The control section is configured to cause the body part to travel from a current position (Z) to a work start point (Sw) and then start work with the work machine in a case where an instruction of start of work with the work machine is issued in a headland (HB).

Abstract: Described herein is a method for constructing and updating a behavioral layer of a multi layered road network high definition digital map. By sensors of a plurality of road vehicles travelling through the road network is detected data relating to at least the positions and velocities of static and moving objects. Data concerning the detected objects is sent to the cloud for data aggregation. The aggregated data is analyzed to determine or predict behavioral patterns of the detected objects for different segments of the map. The determined or predicted behavioral patterns of the detected objects are added to the behavioral layer of the map. Also described is a road network high definition map comprising such a behavioral layer as well as a Geographic Information System that is arranged to construct and update such a behavioral layer of a multi layered road network high definition digital map.

Abstract: A travel control method for a vehicle detects a target trajectory along which a subject vehicle should travel and controls the subject vehicle to travel in an autonomous manner along the detected target trajectory. This method includes provisionally setting a forward gaze point distance from the subject vehicle to a forward gaze point, estimating a traveling trajectory in which the subject vehicle coincides with the target trajectory at the forward gaze point, detecting a maximum value of a lateral displacement between the estimated traveling trajectory and the target trajectory during travel from a current position of the subject vehicle to the forward gaze point, and definitely setting the forward gaze point distance when the maximum value of the lateral displacement is a predetermined value or less as an actual forward gaze point distance and controlling the subject vehicle to travel on the basis of the definitely-set forward gaze point distance.

Abstract: A method for operating a control device for the autonomous guidance of a motor vehicle, wherein a nominal speed is predetermined as a driving speed to be set by the control device and another vehicle driving in front more slowly than the nominal speed is detected by a detection device of the control device, wherein a speed difference of a driving speed of the other vehicle with respect to the nominal speed is greater than zero but smaller than a predetermined maximum value. In this case, an accumulator value is set to a starting value and a current speed value of the speed difference is detected and depending on the speed value, an advantage value is formed and the advantage value is added to the accumulator value. If the accumulator value meets a predetermined overtaking criterion, an overtaking signal is generated for allowing an overtaking maneuver.

Abstract: A management system for a work vehicle, includes: a traveling condition data generation unit configured to set traveling condition data including a first traveling route for making a work vehicle travel with forward movement and a second traveling route for making the work vehicle travel with backward movement, in a conveying path leading to a workplace where an operation of the work vehicle is performed; a specific area data acquisition unit configured to acquire specific area data indicating a specific area where the work vehicle is able to switch back in the conveying path; and a switchback command unit configured to output a command signal for switching back the work vehicle traveling on one of the first traveling route and the second traveling route at the specific area, and making the work vehicle travel on the other of the first traveling route and the second traveling route.

Abstract: A self-propelled vacuum cleaner 11 has a main casing 20, driving wheels 21, a travel control part 61, cameras 51, a suction port 31, and an electric cleaning unit 23. The driving wheels 21 are used to make the main casing 20 travel. The travel control part 61 controls the operation of the driving wheels 21. The cameras 51 capture the images of the forward area of the main casing 20. The suction port 31 is disposed in the lower part of the main casing 20. The electric cleaning unit 23 collects dust and dirt through the suction port 31. The suction port 31 is disposed in the main casing 20 at a position adjacent to image ranges CA of the cameras 51.

Abstract: A server method of receiving a precise digital map for navigation or autonomous driving as a plurality of partial precise digital maps corresponding to servers respectively proximate to portions of a navigation path.

Abstract: The present disclosure relates to a method for operating a motor vehicle, comprising the following steps: ascertaining at least one path data record describing a respective traveled trajectory of the or a respective further motor vehicle, and transmitting the path data record to a vehicle-external memory device; providing at least one guidance data record for the motor vehicle by the memory device, wherein each guidance data record is assigned to one of the trajectories and is ascertained as a function of the path data record describing the respective assigned trajectory; and actuating the vehicle device of the motor vehicle as a function of the provided guidance data record or, if a plurality of guidance data records are provided by the memory device, of one of the provided guidance data records selected by the motor vehicle so as to output a driving suggestion, related to the assigned trajectory, to a driver of the motor vehicle and/or so as to carry out at least one driving intervention.