Abstract: A program causes an information processing device communicable with a server to execute steps of: displaying stoppage points of the specific vehicle and at least part of a travel route passing through the stoppage points; transmitting the server a first request to modify the travel plan so that a user of the information processing device gets on the specific vehicle or gets off the specific vehicle at the stoppage point when the stoppage point is designated by a user operation; and transmitting the server a second request to modify the travel plan so that the specific vehicle goes by way of the designated point as an additional stoppage point and the user gets on the specific vehicle or gets off the specific vehicle at the additional stoppage point when the point other than the stoppage points is designated by the user operation.

Abstract: An unmanned aerial vehicle (UAV) navigation system includes a portable, ground-based landing pad comprising having a first antenna configured to transmit a data packet; a UAV comprising a second antenna configured to receive the data packet; and second processing circuitry configured to determine a signal strength between the first antenna and the second antenna; determine, based on the signal strength, an orientation of the vehicle relative to the landing pad; and determine, based on a time of flight of the data packet, a distance between the vehicle and the landing pad.

Abstract: A method for relocating a mobile vehicle in a simultaneous localization and mapping (SLAM) map is provided. The method can be used in the mobile vehicle moving in an area and includes: using SLAM to establish the SLAM map that corresponds to the area at an initial time point; detecting, by a non-SLAM positioning device, a first position trajectory and a first azimuth trajectory of the mobile vehicle on the SLAM map; detecting, by a SLAM positioning device, a loss probability of the mobile vehicle between a first timestamp and a second timestamp; determining whether a condition is satisfied; and updating the SLAM map to a new SLAM map corresponding to a current time point and updating positioning information of the mobile vehicle in the new SLAM map when the condition is satisfied at the current time point.

Abstract: An electromechanical control system for a bicycle has a switch device, the switch device operating a switch between at least three positions. A control communication device transmits signals responsive to operation of the switch. The electromechanical control system includes an operation device configured to respond to signals transmitted by the control communication device. Signals transmitted by the control communication device include commands to listen and commands to operate.

Abstract: A dynamic navigation coach system is programmed to monitor and assist drivers while keeping them engaged en route to the destination. The system may provide driver navigation assistance and training that monitors user navigational skills, driving habits, and environmental factors, and provides dynamically adjustable tools to provide varying levels of navigation assistance in a game play format. The system may selectively provide navigational directions or corrections to the driver when the driver deviates from a scheduled travel route, instead of providing instructions at every driving event.

Abstract: Flight control unit and flight unit start flight in accordance with a flight plan. Flight history acquisition unit acquires a flight history of drone. Flight plan acquisition unit acquires a flight plan for drone. Inspection timing determination unit calculates a difference between the acquired flight plan and the acquired flight history, and based on the difference, determines an inspection timing for drone. Inspection timing notification unit provides notification of the determined inspection timing.

Abstract: Systems, methods, and other embodiments described herein relate to a drone having selectively actuated arms. In one embodiment, a drone includes arms connected to a body. Individual ones of the arms have a first end and a second end with the first end forming a connection with the body. The drone further includes rotor units individually including a propeller attached to a motor and mounted to the second end of the individual ones of the arms. Additionally, actuator units are integrated with the arms. Individual ones of the actuator units include electromagnetic cells that when activated induce an electromagnetic motive force that flexes the arms.

Abstract: Based on schedule information indicating one or more events to be occurred and information relating to a location associated with each of the one or more events, a navigation method estimates an area and time at which congestion may be likely to occur in the vicinity of the location. Furthermore, the navigation method presents to a moving body information which is based on the estimated result of the area and the time, and which is related to a movement plan when moving using the moving body.

Abstract: A machine train is composed of a road milling machine that travels in front and a road finisher that travels behind. The road milling machine has a profile data determining device configured so that a sequence of height profile data describing the height of the road surface in the longitudinal direction is determined while the road milling machine advances. For transmission of the height profile data, a data transmission device is provided on the road milling machine and a data receiving device is provided on the road finisher. To change the position of the screed, the road finisher has a levelling device that comprises at least one actuator and a control unit, which is configured so that the control unit generates a control signal for controlling the at least one actuator in accordance with a height profile data set.

Abstract: Methods for mapping safe and traversable routes for robot vehicles comprise using a deviation to create an operating range threshold that is to be included in a stored path and used by a robot vehicle as a threshold for normal operating conditions when the robot vehicle traverses a safe and traversable route. Methods for responding to unsafe conditions detected by a robot vehicle during operations comprise executing a contingency plan when a variance exceeds an operating delta and does not exceed an intervention delta. Methods for responding to anomalous conditions encountered by a robot vehicle comprise contacting a human controller when a variance exceeds an operating delta and an intervention delta.

Abstract: An electromechanical control system for a bicycle has a switch device, the switch device operating a switch between at least three positions. A control communication device transmits signals responsive to operation of the switch. The electromechanical control system includes an operation device configured to respond to signals transmitted by the control communication device. Signals transmitted by the control communication device include commands to listen and commands to operate.

Abstract: A mobile robot that includes a control system, a task execution system and a drive system, the control system configured to monitor the task execution system and drive system, wherein the control system comprises an error detection unit, the error detection unit configured to detect a first error in the task execution system and a second error in the drive system, and further configured to determine that a third error has occurred if it detects the first error and the second error at the same time.

Abstract: Provided in this disclosure is a system and methods for wind compensation of an electric aircraft. More specifically, provided in this disclosure is a controller of an aircraft configured to use a plant model for compensating for wind forces. The processor is configured to receive, from the sensor, at least a geographical datum of the electric aircraft.

Abstract: A method for generating energy-optimized travel routes for a motor vehicle includes one or more of the following: receiving an origin destination (OD) of the motor vehicle and an encrypted energy consumption database of the motor vehicle; generating N candidate routes for the OD; evaluating encrypted energy consumption over a route using an encrypted energy consumption database; applying at least one of homomorphic addition function or homomorphic multiplication function to the encrypted energy consumption data; and returning N candidate routes and their encrypted energy consumption to a client.

Abstract: Methods and systems are provided for belief space planning for multiple robots at an initial belief state, for reducing belief space uncertainty, including receiving multiple, candidate, multi-robot paths, each including one or more pose constraints; generating a candidate factor graph for each candidate multi-robot path, and generating from each candidate factor graph a topology graph; calculating a signature metric from each topology graph, wherein the signature metric is one of a Von Neumann (VN) metric and a spanning tree (ST) metric; selecting a multi-robot path having the greatest signature metric from among the candidate, multi-robot paths; and instructing the multiple robots to proceed according to the selected multi-robot path.

Abstract: Product transport is facilitated by a processor(s) obtaining data related to a planned transport event, and analyzing the data to predict energy usage of a transport vehicle in performing the planned transport event, including transporting one or more transport containers. The processor(s) determine, based at least in part on the predicted energy usage, an energy source size for a transport container of the transport container(s) to be transported by the transport vehicle, and determine whether the transport vehicle is to proceed with the transport event. The determining whether to proceed is based, at least in part, on the processor(s) determining that an energy source of the determined energy source size is integrated within the transport container, with the integrated energy source being adapted in the container to contribute energy to the transport vehicle when the transport container is positioned within the transport vehicle for transport.

Abstract: The present disclosure provides a method for identifying a confidence level of an autonomous driving system in an autonomous driving vehicle.

Abstract: A distributed integrated sensing and communication (DISC) module for an autonomous vehicle is described herein. The DISC module includes at least a first sensor system, a second sensor system, a processor, and memory. The first sensor system and the second sensor system are different types of sensor systems. The first sensor system outputs a first sensor signal, and the second sensor system outputs a second sensor signal. The DISC module can detect and track an object (or objects) based on the first sensor signal and the second sensor signal. Moreover, the DISC module can output data indicative of the object as detected. In the DISC module, the first sensor system, at least a portion of the second sensor system, the processor, and the memory are integrated on a single substrate.

Abstract: In certain embodiments, a vehicle may obtain a video stream via a camera system of the vehicle. The video stream may be processed to extract one or more feature vectors from the video stream. Based on the feature vectors extracted from the video stream, vehicle description information related to one or more parked vehicles in the parking area may be determined. Space information indicating locations of the parked vehicles relative to available parking spaces in the parking area may also be determined based on the feature vectors extracted from the video stream. A mapping of the parking area may then be generated based on the vehicle description information and the space information.

Abstract: A stability controller includes a machine learning engine that outputs stabilizer settings to several on-board stabilizer systems of a vessel based on various inputs. The machine learning engine is first trained based on human selections of stabilizer system settings, and then, once suitably trained, the stability controller can be used to optimize the use and operation of the stabilizer systems as conditions change, based on a quantity or stability quality that the vessel operator desires to optimize.