Abstract: A method for estimating road travel time based on the built environment and low-frequency floating car data belongs to the technical field of urban traffic management and traffic system evaluation. The method takes built environment as an explanatory variable of the road travel time. The interpretability of this variable is proved by a numerical example. In addition, the method determines distribution parameters of road travel time using the number distribution of vehicles instead of distance. The benefits of the method are that: (1) it explains the positive effect of built environment on road travel time; and (2) it reflects the speed difference among different road sections, which can improve the precision of estimating road travel time.

Abstract: Embodiments include devices and methods operating a robotic vehicle. A robotic vehicle processor may detect an object posing an imminent risk of collision with the robotic vehicle. The robotic vehicle processor may determine a classification of the detected object. The robotic vehicle processor may manage a rotation of a rotor of the robotic vehicle prior to a collision based on the classification of the object.

Abstract: A method, apparatus, and computer program product are described herein for determining pedestrian behavior profiles for road segments of a road network, from those pedestrian behavior profiles, determining the likelihood that an adverse pedestrian event will occur, and determining the action to be taken in response. Example embodiments may provide a mapping system including: a memory having map data; and processing circuitry. The processing circuitry may be configured to: receive data points associated with pedestrian movement; associate pedestrian movement with a road segment; determine, based on the data points, a pedestrian behavior profile for the road segment; and in response to the pedestrian behavior profile for the road segment indicating a likelihood for an adverse pedestrian event that satisfies a predetermined likelihood, cause at least one action in response thereto.

Abstract: An aerial vehicle may include a control unit configured to send control signals in order to control flight of the aerial vehicle, propulsion units configured to control the attitude of the aerial vehicle, propulsion controllers configured to send commands to a corresponding propulsion unit of the propulsion units based on the control signals, and inertial measurement units (IMU). Each of the IMUs is configured to provide attitude information to a corresponding one of the propulsion controllers. In this way, there is one propulsion controller for each of the propulsion units and one IMU for each of the propulsion controllers. When there is a failure at the control unit, each of the propulsion control unit units are configured automatically generate the commands and control the propulsion units in order to attempt to stabilize the aerial vehicle.

Abstract: A yielding action assistance system for assisting a vehicle driver to take an appropriate action in yielding to a passing emergency vehicle. The yielding action assistance system comprises: a detector that detects a proximity of the emergency vehicle; an information collector that collects a road information and information about the emergency vehicle and other vehicle; a target zone determiner that sets and updates a target zone to pull over the vehicle based on the information about the other vehicle and the road; and a notifier that informs a driver about the target zone.

Abstract: A system and methods for reducing map search area requirements in a navigation system are disclosed. The system includes a vehicle, an imaging device onboard the vehicle configured to generate an image scan, receive at least one image responsive to the image scan, and a processing device configured to receive and store the at least one image. The system further includes a navigation system onboard the vehicle configured to store an image of a map, and a learning network associated with the navigation system and configured to divide the image of the map into a plurality of map subsections, recognize each one of a plurality of images of different landmarks on the map, generate a set of classifications for each map subsection, and associate each classification of the set of classifications with at least one landmark of the different landmarks on the map.

Abstract: An article transport vehicle includes an obstacle sensor having a detection area that includes at least the width of the own vehicle and that expands in the advancing direction, controls the travel of the own vehicle, based on as front inter-object distance corresponding to own-vehicle position information indicating a position of the own vehicle and front object position information indicating a position on a track of a front object that is located in front of the own vehicle and whose position on the track is specified, and sets a length of the detection area E along the advancing direction of the obstacle sensor to be variable according to the front inter-object distance such that the length is less than the front inter-object distance.

Abstract: In one general aspect, a drone control device includes a body, a motor that is configured to move the body, a network module, an input module, and a processor. The network module is configured to communicate with a security system that monitors a property and receive data associated with a location within the property. The input module is configured to receive user input. The processor is configured to perform operations that include: determine, from among the location within the property and other locations within the property, a target location within the property; move the body to the target location within the property by providing a signal to the motor; receive, from the input module, input data that is associated with an operation of the security system; and in response to receiving the input data, perform the operation of the security system.

Abstract: System and methods are provided for calculating a lane maneuver delay for different lane maneuvers and different road segments at different times of the day to generate a predicted lane maneuver delay for use in routing and navigation services. A lane-level map-matcher identifies the lane a vehicle is driving on using positional sensors. Sensor data is obtained from vehicle sensors using the left-turn and right-turn signal lights sensor. A lane maneuver delay value is calculated from the time period a left-turn or right-turn signaling light was kept on before a vehicle completed a lane maneuver. The lane maneuver delay values are aggregated to generate a predicted lane maneuver delay that may be used in lane level routing instructions.

Abstract: According to an aspect of the present disclosure, there is provided a method of controlling a robot system including a plurality of moving robots each assigned a cleaning area, the method including receiving a command designating an urgent cleaning area, at least one moving robot of the plurality of moving robots moving to the urgent cleaning area according to a predetermined criterion based on the command, performing a cleaning operation by the moving robot having moved to the urgent cleaning area and a moving robot assigned the urgent cleaning area as a cleaning area, and returning to an assigned cleaning area by the moving robot having moved to the urgent cleaning area when the cleaning operation is completed.

Abstract: A method and system of determining a parked location of a vehicle, the method including: establishing a short-range wireless communication (SRWC) connection with the vehicle using a personal SRWC device, wherein the SRWC connection operates according to a first protocol; carrying out a SRWC service that is associated with the SRWC; detecting termination of the SRWC service independently of a termination of the SRWC connection; in response to the detection of the termination of the SRWC service, obtaining a location of the personal SRWC device; and storing the location of the personal SRWC device as a parked location of the vehicle.

Abstract: A vehicle control apparatus includes an electric control unit that performs a preceding vehicle trading control which makes an own vehicle trail a preceding vehicle as an adaptive cruise control, and performs a first brake control which automatically applies a first braking control to the own vehicle when a time-to-collision to a target object is less than a first threshold. In a case where a performing condition for the first brake control has been determined to be satisfied during a performance of the adaptive cruise control, the electric control unit continues performing the adaptive cruise control without performing the first brake control when a deceleration control by the adaptive cruise control is being performed, whereas stops performing the adaptive cruise control when the deceleration control by the adaptive cruise control is not being performed.

Abstract: One or more embodiments are described herein of a controller system in a steering system. The controller system includes a first electric control unit (ECU) that operates as a primary ECU of the controller system, the primary ECU sending a motor command to a motor to generate torque. The controller system further includes a second ECU that operates as a backup for the first ECU. The operation as the backup includes monitoring the first ECU for a failure. In response to detecting the failure at the first ECU, the second ECU operates as the primary ECU of the controller system, and initiates a domain controller to operate as the backup ECU.

Abstract: A method of determining a location, using bilateration, of an electronic device that is spaced from transmitting devices is disclosed. The electronic device receives first and second signals of the same or different signal type from first and second transmitting devices, respectively, with a tunable antenna. The electronic device determines a signal quality of each signal based on: 1) a received signal strength indicator (RSSI) or a received signal power and a received signal gain, and 2) signal propagation characteristics specific for the transmitting devices. The signals with the two highest signal qualities are used for location determination and the antenna is tuned for each of the signal types received. The distance from the transmitting devices can be determined based on one or more of: a received signal power and signal gain for both signals, a transmitted power and signal gain of both signals, or location information associated with the transmitting devices.

Abstract: Systems and methods may include a lift drone and a carrier drone to convey a payload. The lift drone may vertically lift the payload, alone or with the carrier drone, to a transfer location. The carrier drone may receive control of the payload at the transfer location, such as by receiving physical transfer of the payload, taking over conveyance of the payload from the lift drone, or the like. The lift drone may remain coupled with the payload or the carrier drone or may decouple after transfer.

Abstract: A system and methods for reducing map search area requirements in a navigation system are disclosed. The system includes a vehicle, an imaging device onboard the vehicle configured to generate an image scan, receive at least one image responsive to the image scan, and a processing device configured to receive and store the at least one image. The system further includes a navigation system onboard the vehicle configured to store an image of a map, and a learning network associated with the navigation system and configured to divide the image of the map into a plurality of map subsections, recognize each one of a plurality of images of different landmarks on the map, generate a set of classifications for each map subsection, and associate each classification of the set of classifications with at least one landmark of the different landmarks on the map.

Abstract: The disclosure relates generally to an in-vehicle feedback system, and more particularly, to an in-vehicle device with a display or graphical interface that collects driving data and provides feedback based on the driving data. The system may comprise an in-vehicle device that includes a graphical user interface and a processor and a data collection device wirelessly connected to the in-vehicle device. The in-vehicle device may be configured to receive vehicle telematics data from the data collection device and the processor may process the telematics data in real time and cause the telematics data to be displayed on the graphical user interface. The graphical user interface may include a speed display and an acceleration display.

Abstract: A farming system includes a field engagement unit. The field engagement unit includes a support assembly. The support assembly includes one or more work tool rail assemblies. The field engagement unit additionally includes one or more propulsion units which provide omnidirectional control of the field engagement unit. The field engagement unit additionally includes one or more work tool assemblies. The one or more work tool assemblies are actuatable along the one or more work tool rail assemblies. The farming system additionally includes a local controller. The local controller includes one or more processors configured to execute a set of program instructions stored in memory. The program instructions are configured to cause the one or more processors to control one or more components of the field engagement unit.

Abstract: A system for a host vehicle and includes a memory and a vehicle control module. The memory stores autonomous status bits for each local vehicle. The autonomous status bits indicate whether the corresponding local vehicle is operating in a non-autonomous, semi-autonomous, or fully autonomous mode. The vehicle control module: generates autonomous status bits indicative of an autonomous status level of the host vehicle and transmits the autonomous status bits in a message to first vehicle communication devices; determines that local vehicles are in a local environment of the host vehicle; receives messages including the autonomous status bits of the local vehicles from second vehicle communication devices; and unless operating in a fully autonomous mode, generates a request for a driver of the host vehicle to take control of the host vehicle based on the autonomous status bits of the host vehicle and the local vehicles.

Abstract: A method is described for computing a friction estimate between a road surface and a tire of a vehicle when the vehicle is in motion along a course, the tire being arranged on a steerable wheel of the vehicle, and the vehicle including two front wheels and two rear wheels and an axle rack pivotably attached to a linkage arm connected to the steerable wheel such that a translational motion of the axle rack causes the linkage arm to rotate about a kingpin element such that the linkage arm causes a turning motion of the steerable wheel. A corresponding system and vehicle are also described.