Abstract: A remote controlled demolition robot (10) comprising a controller (17) and at least one control switch (24, 25, 26) for providing a control signal that is received by the controller (17), wherein the controller (17) is configured to control the operation of a corresponding robot part (10a, 11, 14, 15). The controller (17) is further configured to: receive a pressure sensor reading from a pressure sensor (13b) for a proportional hydraulic valve (13a), said pressure sensor reading indicating a standby pressure; provide the control signal to the valve (13a); and increase a signal level of the control signal provided to the valve (13a) until a change in the pressure is detected; determine a starting offset for the valve (13a), said starting offset corresponding to the current signal level of the control signal.

Abstract: Example methods and systems of deploying a constellation of spacecraft are described. An example method includes releasing a cluster of spacecraft from a launch vehicle at a first orbit, separating spacecraft in the cluster of spacecraft from each other to minimize overlap of visibility periods from a ground station, and raising each of the spacecraft as separated simultaneously in a synchronized ascent to a respective final orbit. An example system includes a cluster of spacecraft in orbit at a first orbit, and a ground station in communication with spacecraft of the cluster of spacecraft when the spacecraft of the cluster are visible to the ground station. The ground station commands each spacecraft to separate from each other and to raise in altitude as separated simultaneously in a synchronized ascent to a respective final orbit.

Abstract: The present disclosure provides a system that collects customer data in a way that creates a shared experience. More specifically, an interactive map for customer engagement is provided. In some embodiments, this information may be displayed at the establishment for other customers to view. This system and method may receive and save addresses to show where customers may originate from. Displaying an interactive map may allow a company to gather data from their customers while engaging the customers in a social sharing platform. This may increase the likelihood that a customer may provide the data and increase a sense of community within a customer pool.

Abstract: A method, system, and/or computer program product mitigate vibration caused by sympathetic resonance in a structure that is physically proximate to a machine. One or more processors, based on readings from a resonance sensor, detect vibration caused by sympathetic resonance in a structure that is physically proximate to the machine. One or more processors then direct a machine component controller to adjust the machine component in order to mitigate the vibration.

Abstract: One embodiment of the present invention predicts a vehicular event relating to machinal performance using information obtained from interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data. The process of predication is able to activate interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle. After forwarding the current data to VOC to generate a current vehicle status representing real-time vehicle performance in accordance with the current data, retrieving a historical data associated with the vehicle including mechanical condition is retrieved. In one aspect, a normal condition signal is issued when the current vehicle status does not satisfy with the optimal condition based on the historical data. Alternatively, a race car condition is issued when the current vehicle status meets with the optimal condition.

Abstract: Autonomous driving assistance systems, methods, and programs acquire a planned travel route along which a host vehicle plans to travel and acquire map information including lane information about a road that is included in the planned travel route. The systems, methods, and programs acquire, from outside the host vehicle, obstacle information that includes a location of an obstacle on the road and that has been acquired by another vehicle that travels along the planned travel route ahead of the host vehicle, and generate, as assistance information that is used to perform autonomous driving assistance in the host vehicle that travels along the planned travel route, a travel trajectory candidate for the host vehicle based on the obstacle information and the lane information about the planned travel route.

Abstract: A method for controlling a vehicle includes: determining whether map data for a first geographic section is stored in memory; and based on the map data having been stored: generating, through an object detection device and when the vehicle drives through the first geographic section by user control, first object information regarding vehicle surroundings; and storing first map data based on the first object information. The method further includes: based on the first map data having been stored, generating, based on the stored first map data, a driving route and driving control information for the first geographic section; generating, through the object detection device and when the vehicle drives along the driving route through the first geographic section, second object information regarding vehicle surroundings; and updating and storing the first map data based on the second object information.

Abstract: An example method involves determining an expected demand level for a first type of a plurality of types of transport tasks for unmanned aerial vehicles (UAVs), the first type of transport tasks associated with a first payload type. Each of the UAVs is physically reconfigurable between at least a first and a second configuration corresponding to the first payload type and a second payload type, respectively. The method also involves determining based on the expected demand level for the first type of transport tasks, (i) a first number of UAVs having the first configuration and (ii) a second number of UAVs having the second configuration. The method further involves, at or near a time corresponding to the expected demand level, providing one or more UAVs to perform the transport tasks, including at least the first number of UAVs.

Abstract: Communication network architectures, systems, and methods for supporting a network of mobile nodes. As a non-limiting example, various aspects of this disclosure provide autonomous vehicle network architectures, systems, and methods for supporting a dynamically configurable network of autonomous vehicles comprising a complex array of both static and moving communication nodes, including systems and methods for managing fleets of autonomous vehicles to optimize electric budget.

Abstract: Methods and systems that allow neural network systems to maintain or increase operational accuracy while being able to operate in various settings. A set of training data is collected over each of at least two different settings. Each setting has a set of characteristics. Examples of setting characteristic types can be time, geographical location, and/or weather condition. Each set of training data is used to train a neural network resulting in a set of coefficients. For each setting, the setting characteristics are associated with the corresponding neural network having the resulting coefficients and neural network structure. A neural network, having the coefficients and neural network structure resulted after training using the training data collected over a setting, would yield optimal results when operated in/under the setting. A database management system can store information relating to, for example, the setting characteristics, neural network coefficients, and/or neural network structures.

Abstract: A system for adaptively controlling traffic control devices having a traffic signal system, a computing network, a communication system, and a mobile device. The traffic signal system is configured to be in communication with the computing network through the communication system. The mobile device is also configured to be in communication with the computing network through the communication system. Then the computing network adaptively controls the traffic signal system using a location of the mobile device.

Abstract: The present disclosure generally relates to displaying user preferences related to operation of a vehicle. For example, the associated systems and methods may include receiving a user's personal information and preferences and displaying them on an in-vehicle infotainment system or a mobile device application. More particularly, the user may input her automobile insurance provider, health insurance provider, medical information, a preferred repair facility or mechanic, a preferred towing company, a preferred hospital, an emergency contact number, the user's blood type, etc. The user preferences may be stored and displayed on the in-vehicle infotainment system or the mobile device application. Furthermore, the in-vehicle infotainment system or the mobile device application may receive vehicle diagnostic information from the vehicle, and display user preferences based on the diagnostic information.

Abstract: A method and device for monitoring and controlling a path of a following aircraft (AC2) with respect to vortices (V1, V2) generated by a leading aircraft (AC1) while both aircraft (AC1, AC2) fly in a formation (F), wherein the device includes a unit for determining, using a vortex transport model, a safety position (PS) at which the following aircraft (AC2) is not subjected to effects of the vortices (V1, V2) generated by the leading aircraft (AC1), a unit for determining, using a vortex signature model, an optimum position (PO) at which the following aircraft (AC2) benefits from at least one (V1) of the vortices (V1, V2), and a control unit for bringing and keeping the following aircraft (AC2) in the safety position (PS) while a predetermined condition(s) is met and otherwise for bringing the following aircraft (AC2) and keeping it in the optimum position (PO).

Abstract: In one embodiment, a system receives a reference trajectory including a reference path in which the ADV is to follow. The system controls the ADV along the reference path using a path tracking algorithm, including: determining a first lateral distance error, determining a second lateral distance error based on the first lateral distance error using a proportional-integral-derivative (PID) control system, where the second lateral distance error compensates for a lateral drift, and generating a steering command based on the second lateral distance error using the path tracking algorithm to control the ADV to minimize a lateral distance error, e.g., a lateral distance between an actual path taken by the ADV and the reference path.

Abstract: A system and method for updating map data for updating map data for an autonomous vehicle (AV) is provided. The method includes collecting, using one or a plurality of AV sensors of a first AV, sensor data, and comparing the sensor data collected against map data for determining a presence of potential changed data. The method further includes generating a proof of work (PoW) block including the potential changed data, and collecting, using one or a plurality of AV sensors of a second AV, first verification sensor data. The potential changed data is then compared with the first verification sensor data for generating a first verified map block based on the first verification sensor data, and adding the first verified map block to a first verified map blockchain.

Abstract: A method for optimizing vehicle steer-by-wire characteristics, includes collecting steer-by-wire steering system data for multiple predetermined data segments. Multiple driving quality objective indices are determined for each segment. A trend line is prepared based on the multiple predetermined data segments using a first algorithm, a second algorithm and a third algorithm, each assigned to one of the driving quality objective indices. Values obtained from the first algorithm, the second algorithm and the third algorithm are superimposed to create a net desired incremental change in damping, steering ratio and base assist. A steering calibration modification command is generated in real-time using the incremental change in damping, steering ratio and base assist.

Abstract: A vehicle chassis control system may include a target calculation module, brake control module, suspension control module, and tire pressure control module. The target calculation module calculates a target brake torque, a target vertical force, and a target tire pressure associated with the wheel of a vehicle. The brake control module adjusts brake torque applied to the wheel based on a comparison of the target brake torque and an estimated current brake torque. The suspension control module adjusts vertical force applied to the wheel based on a comparison of the target vertical force and an estimated current vertical force. The tire pressure control module adjusts tire pressure in the wheel based on a comparison of the target tire pressure and a measured tire pressure.

Abstract: A method for analyzing the wear behavior of brake pads of a brake system has at least the following steps: a) providing a brake system with at least one or more brakes, each with one or more brake pads which each have a pad carrier plate and a friction lining composed of at least two or more friction material layers which are composed of different friction materials; and at least one evaluation device; b) determining the wear which is brought about per brake during braking operations with at least one wear sensor per brake; c) determining the braking energy which is brought about per brake during braking operations with the evaluation device; d) repeated determination of an instantaneous gradient of a curve which relates the values determined in steps b) and c) and preferably a route information item to one another; and e) outputting a signal at an output device if the gradient changes.

Abstract: A steering control device includes a driving support ECU. The driving support ECU 10 is configured to execute an original lane return assist control to control a steering so as to return an own vehicle from a target lane to the original lane when a lane change assist control is stopped by detection of a first approaching vehicle in a situation where the own vehicle enters the target lane to travel in the target lane. The driving support ECU is configured to prohibit the original lane return assist control and to execute a lateral speed zero control to control the steering so as to maintain a lateral speed which is a speed in a lane width direction of the own vehicle at zero, when an original lane side vehicle is being detected.

Abstract: In one implementation, a pair of messages are received from one or more space-based receivers that each received the pair of messages. The pair of messages comprise encoded position information of a transmitter, and a plurality of candidate locations for the transmitter is determined therefrom. A location of the transmitter is determined by eliminating candidate locations until only one remains. In particular, each candidate location that is not within a coverage area of each of the space-based receivers is eliminated, and each candidate location that is not within a predetermined distance of at least one previous candidate location is eliminated. In addition, it is determined that the remaining candidate location is within the coverage area of each of the space-based receivers as well as within the predetermined distance of at least one previous candidate location. Upon determining the location of the transmitter, it is transmitted to a subscriber system.