Abstract: A battery management system includes a monitoring device and a control device. The control device transmits request data requesting transmission of battery information, and the monitoring device transmits response data including the battery information to the control device. The control device makes next request data include communication establishment information and transmits the next request data. The monitoring device includes a transmission buffer capable of individually accumulating the battery information for multiple times. The monitoring device deletes the battery information corresponding to communication establishment from the transmission buffer, and holds the battery information corresponding to communication failure in the transmission buffer based on the communication establishment information.

Abstract: Examples herein include a brake hydraulic pressure control device and a brake hydraulic pressure control method capable of preventing a rear wheel of a saddle-type vehicle from lifting. The brake hydraulic pressure control device of a saddle-type vehicle is configured to execute anti-lock brake control and determine an opening time of one opening of a hydraulic pressure adjusting valve, and control the hydraulic pressure adjusting valve to repeatedly open for the opening time and close a main flow path, causing a brake fluid to flow from a master cylinder to a wheel cylinder. A pressure of the brake fluid in the wheel cylinder is increased after a decrease in the pressure of the brake fluid in the wheel cylinder during the anti-lock brake control. The opening time is determined according to the pressure of the brake fluid in the master cylinder and the input gradient of the brake lever.

Abstract: A process for pairing two aircraft together to save fuel. After evaluating whether two aircraft may possibly be paired together in a formation for fuel savings, the process determines new flight plans for both aircraft, allowing the second aircraft to save fuel by flying behind the first aircraft so that the second aircraft utilizes the energy of the wake vortices generated by the first aircraft. Based on the new flight plan, the process determines if there is a net trip fuel savings for the pair.

Abstract: A system with a control unit for a utility vehicle includes a data port configured to receive an acceleration request signal indicating a request for an acceleration change of at least one driven axle of the utility vehicle. The control unit further includes a controller configured to produce drive control signals for an electric drive of the driven axle depending on the acceleration request signal, and brake control signals for a friction brake system of the driven axle depending on the acceleration request signal.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes determining vehicle diagnostics information associated with a first autonomous vehicle that is part of a fleet of vehicles controlled by a first entity to provide a vehicle service to a second entity. The method includes determining remote inspection information that includes an assessment of one or more categories pertaining to a third entity, based at least in part on the vehicle diagnostics information. The method includes providing the remote inspection information to the third entity to provide the vehicle service.

Abstract: A data collection system includes a server device and at least one probe vehicle. The server device includes a storage unit configured to store a master map in which a necessity of data collection for each of a plurality of unit ranges included in a plurality of segments is represented by a binary value; and a server control unit configured to extract from the master map a segment corresponding to a position of the probe vehicle, and to transmit the segment to the probe vehicle as a partial map. The probe vehicle includes a data obtaining unit configured to obtain the data; and a vehicle control unit configured to identify a unit range requiring data collection based on the partial map received from the server device, and to transmit the data obtained in the unit range to the server device.

Abstract: Disclosed is a driving assist apparatus which executes a process for collision avoidance when the possibility of collision of a vehicle with an obstacle is high. When the steering angle of the steering wheel is greater than an angle threshold, the apparatus determines that a driver is trying to avoid the collision by operating the steering wheel and does not execute the collision avoidance process. When the vehicle is making a right turn or a left turn, there arises a possibility that the collision avoidance process is not executed even in a situation where the collision avoidance process must be executed. In view of this, when the vehicle is making a right turn or a left turn, the angle threshold mentioned above is set to a larger value as compared with the case where the vehicle is not making a right turn or a left turn.

Abstract: A collision avoidance method for a water-based vessel, including: obtaining real time data relating to the path of two or more vessels; identifying a collision risk between the two or more vessels; determining if the collision risk is above a predetermined threshold, wherein when the collision risk is above the predetermined threshold, determining one or more collision avoidance manoeuvres on the basis of historical navigational data which corresponds to the real-time data; providing the one or more collision avoidance manoeuvres to an operator of the one or more vessels.

Abstract: An example method comprises receiving a number of inputs to a system employing an artificial neural network (ANN), wherein the ANN comprises a number of ANN partitions each having respective weight matrix data and bias data corresponding thereto stored in a memory. The method includes: determining an ANN partition to which the number of inputs correspond, reading, from the memory the weight matrix data and bias data corresponding to the determined ANN partition, and a first cryptographic code corresponding to the determined ANN partition; generating, using the weight matrix data and bias data read from the memory, a second cryptographic code corresponding to the determined ANN partition; determining whether the first cryptographic code and the second cryptographic code match; and responsive to determining a mismatch between the first cryptographic code and the second cryptographic code, issuing an indication of the mismatch to a controller of the system.

Abstract: An autonomous vehicle for blind people is provided. The autonomous vehicle includes a riding and alighting point search device that searches for a riding point at which a user will ride and an alighting point at which the user will alight, in response to call information received from a terminal of the user, a passenger recognition device that recognizes the user who will ride in the vehicle at the riding point, and an autonomous driving controller that controls an autonomous driving operation of the vehicle.

Abstract: An electronic apparatus provided in a first vehicle for determining a collision possibility can include an input unit configured to receive surrounding information of the first vehicle; a communication unit configured to communicate with at least one surrounding vehicle around the first vehicle; and at least one processor configured to operate in conjunction with the input unit and the communication unit, in which the at least one processor is further configured to receive a first image via the input unit, receive at least one second image from the at least one surrounding vehicle via the communication unit, and determine a collision possibility of the first vehicle based on the first image and the at least one second image.

Abstract: The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.

Abstract: The present disclosure generally relates to user interfaces for managing, modifying, and/or outputting workout content.

Abstract: A server device can obtain historical location data, concerning a vehicle, captured by a global positioning system (GPS) device of the vehicle and historical engine control unit (ECU) data concerning the vehicle captured by an ECU of the vehicle. The server device can process the historical location data and the historical ECU data to train a machine learning model to determine a relationship between the historical location data and the historical ECU data. The server device can receive location data and ECU data concerning the vehicle and update the machine learning model based on the location data and the ECU data. The server device can receive real-time location data concerning the vehicle and derive an equivalent real-time ECU speed using the machine learning model. The server device can generate a message regarding the equivalent real-time ECU speed of the vehicle and send the message to a remote device for display.

Abstract: A work machine includes a plurality of actuators that drive a work device; a posture sensor that senses postural data about the work device; and a controller having a degree-of-proximity calculating section that computes a degree of proximity that is an index value indicating proximity between an intrusion prohibition region and the work device on the basis of positional data about the intrusion prohibition region and the postural data. A command section executes, when the proximity specified by the degree of proximity is closer than proximity specified by a degree-of-proximity threshold, operating area limiting control to decelerate at least one of the plurality of actuators such that an intrusion of the work device into the intrusion prohibition region is prevented. History of the data about the degree of proximity calculated at the degree-of-proximity calculating section is stored and the degree-of-proximity threshold is altered on the basis of the history data.

Abstract: A computer is programmed to instruct a vehicle to navigate to a pickup location based on a current user location received from a first device and data about a user event received from a second device.

Abstract: A method for monitoring a vehicle, the method may include determining, by a computer, whether a pairing between a vehicle and a mobile device associated with the vehicle succeeded; applying, by the computer, a first monitoring process when the pairing succeeded; and applying, by the computer, a second monitoring process that differs from the first monitoring process when the pairing failed.

Abstract: An autonomous vehicle may access portions of a map to maneuver a roadway. The map may be split into one or more levels that represent different regions in space. For example, an overpass may be represented by one level while the road below the overpass may be on a separate level. A vehicle traveling on a particular level may use map data that is associated with that level. Furthermore, if the vehicle travels through a warp zone, it may transition from the current level to a destination level and thus begin to use map data associated with the destination level.

Abstract: Systems and methods are disclosed for the development and management of curated navigational routes are disclosed. The curated navigational route can be a particular path of travel that is specifically designed for one or more users. The curated navigational routes are carefully constructed paths of travel that are custom defined by a route manager.

Abstract: Computer-implemented methods and computer systems are disclosed herein as implemented by one or more local or remote processors, transceivers, servers, and/or sensors. The methods and systems include the one or more processors (i) determining an electric vehicle has a state of charge (SOC) below a predetermined threshold; (ii) if the SOC is determined to be below the predetermined threshold, determining homes capable of charging electric vehicles within a vicinity of, or a predetermined distance of, the low SOC vehicle's GPS location; (iii) from among the homes within the predetermined distance of the low SOC vehicle, ranking the homes based upon various factors; and/or (iv) scheduling a rendezvous or appointment for the low SOC vehicle with the highest ranked home for recharging the low SOC vehicle, the highest ranked home being equipped to recharge the low SOC vehicle and is available to charge the low SOC vehicle.