Abstract: A method and apparatus for optimizing traffic control device detection are provided. The method includes: determining whether a first vehicle is traveling to an intersection with a traffic control device and whether the first vehicle is within a predetermined distance of the intersection; in response to determining that the first vehicle is traveling to the intersection with the traffic control device and that the first vehicle is within the first predetermined distance of the intersection, scanning for the traffic control device; controlling the first vehicle to increase a distance between the first vehicle and a second vehicle in front of the first vehicle if the scanning fails to detect the traffic control device; and controlling the first vehicle to maintain the distance between the first vehicle and the second vehicle in front of the first vehicle if the scanning detects the traffic control device.

Abstract: The present disclosure is directed to an electronic vaporizing device having a vehicle monitoring component for monitoring a plurality of performance data associated with a vehicle, analyzing the plurality of performance data to determine at least one vehicle condition, and outputting the data and/or analysis to a user of the device. The electronic vaporizing device may comprise at least one vehicle monitoring component operable to interface with a plurality of machine devices of an associated vehicle to capture a plurality of vehicle performance data associated with at least one of the plurality of machine devices, determine at least one performance condition based on at least a portion of the plurality of captured performance data, and generate a plurality of vehicle status data therefrom. The determination of the at least one performance condition and generation of the plurality of vehicle status data may be based on a plurality of performance data capture parameters.

Abstract: A method for automatically monitoring soil surface roughness as a ground-engaging operation is being performed within a field may include receiving pre-operation surface roughness data associated with a given portion of the field and receiving post-operation surface roughness data associated with the given portion of the field. In addition, the method may include analyzing the pre-operation and post-operation surface roughness data to determine a surface roughness differential associated with the performance of the ground-engaging operation and actively adjusting the operation of at least one of an associated work vehicle and/or implement when the surface roughness differential differs from a target set for the surface roughness differential.

Abstract: The present disclosure provides charging station guide apparatus and method. The charging station guide apparatus includes: a global positioning system (GPS) receiving a GPS signal transmitted from a GPS satellite; a storage unit storing charging station information including map information and charging station position information; a control unit generating a first display window including a vehicle object representing vehicle position information and a charging station position object representing charging station position information based on the GPS signal, the map information, and the charging station information, generating a second display window including a charging station distance object representing charging station distance information, and also generating an image so that the second display window overlaps with one end of the first display window; and a display unit displaying an image generated from the control unit.

Abstract: A computer system maintains, for a given geographic region, a data structure that identifies a traction value for each of a plurality of locations of a road network within a geographic region. At least of a start or destination location is determined for the trip. The computer system may plan the trip, including selecting at least one of a route or a vehicle to use for the trip, based on the traction values of one or more of the plurality of locations.

Abstract: A nonlinear route for traveling from a source to a destination is determined. The route includes a sequence of (i) route segments and (ii) intermediate geographic locations defining endpoints of the route segments. An initial linear visual representation of the route is generated and displayed via a user interface of a computing device. To generate the initial linear visual representation of the route, an initial subset of the intermediate geographic locations is selected. The initial subset does not include at least of the intermediate geographic locations in the sequence. Indicators of the intermediate geographic locations are positioned along a single line, and an interactive control is provided. When activated, the interactive control generates an expanded linear visual representation of the route. The expanded linear visual representation includes at least one of the intermediate geographic locations not selected for the initial linear visual representation.

Abstract: A system and method for determining the distance between at least one point on a vehicle and at least one projected area off of the vehicle includes receiving, with a processor, sensor signals indicative of LIDAR data for the projected area off the vehicle; applying, with the processor, a linear estimation algorithm to filter out noise within the LIDAR data and define a surface plane for the projected area; evaluating, with the processor, the LIDAR data against a vehicle state model; determining, with the processor, the distance between the at least one point on the vehicle and the at least one projected area off the vehicle; and commanding a response in the vehicle controls.

Abstract: A tire of a vehicle is calibrated based on a motion model of the vehicle relating control inputs to the vehicle with a state of the vehicle and a measurement model of the vehicle relating measurements of the motion of the vehicle with the state of the vehicle. The motion model of the vehicle includes a combination of a deterministic component of the motion and a probabilistic component of the motion, wherein the deterministic component of the motion is independent from the state of stiffness and defines the motion of the vehicle as a function of time. The probabilistic component of the motion includes the state of stiffness having an uncertainty and defining disturbance on the motion of the vehicle.

Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.

Abstract: A system quantifies the extent of a damaged vehicle in the absence of a specialist (appraiser) present onsite. The system enables an objective estimate of the damage, supplanting or merely supplementing psychologically biased claimant reporting. The system has hardware structures to perform imagery quantification of damage on a damaged vehicle. The damaged vehicle may be located anywhere, including at the scene of an accident, at an insured's home, at an insurer's claims offices, or at a body shop. Anyone, including the insured, with a mobile device such as a smart phone, may download onto it a mobile application that guides the user to take photographs or moving images of the damaged vehicle for the system to perform imagery quantification of damage.

Abstract: An evacuation travelling control device has an evacuation direction judgment section for detecting an evacuation direction of an own vehicle during an evacuation travelling mode of the own vehicle and a light switching pattern generation section for generating a light pattern which relates to one or more combinations of lit and unlit states of lamps including direction indicators mounted on the own vehicle when informing the evacuation direction of the own vehicle detected by the evacuation direction judgment section to drivers of other vehicles and pedestrians around the own vehicle.

Abstract: A method of using an unmanned agricultural robot to generate an anticipatory geospatial data map of the positions of annual crop rows planted within a perimeter of an agricultural field, the method including the step of creating a geospatial data map of an agricultural field by plotting actual annual crop row positions in a portion of the geospatial data map that corresponds to a starting point observation window, and filling in a remainder of the geospatial data map with anticipated annual crop row positions corresponding to the annual crop rows outside of the starting point observation window, and refining the geospatial data map by replacing the anticipated annual crop row positions with measured actual annual crop row positions when an unexpected obstacle is encountered.

Abstract: Provided is a moving body control apparatus including a collection unit that collects date and time data, position data, and first operating data of a moving body and a controller that controls the moving body based on a result of comparison between reference operating data corresponding to the date and time data and the position data, and the first operating data, wherein, when a difference between second operating data in case of an accident and third operating data in case of no accident meets a predetermined condition, the reference operating data is generated based on the third operating data.

Abstract: Personalizing travel route planning based on past actual user travel behavior and reasons that the user deviated from planned routings. The route planning algorithm is revised based on analysis of user input related to a deviation from a planned routing. If a new trip in the planning stage entails considerations similar to those that caused the user's deviation on a previous trip, then the revised route planning algorithm can take these considerations into account when planning the route for the new trip. Changes in route planning may apply when the user: (i) plans to make a trip similar to a previous trip when the deviation occurred; (ii) plans to make a different trip, but the trip entails considerations that lead to the deviation on the prior trip; (iii) is using the same vehicle as for the previous trip with the deviation; and/or (iv) is using a different vehicle.

Abstract: A social driving style learning framework or system for autonomous vehicles is utilized, which can dynamically learn the social driving styles from surrounding vehicles and adopt the driving style as needed. Each of the autonomous vehicles within a particular driving area is equipped with the driving style learning system to perceive the driving behaviors of the surrounding vehicles to derive a set of driving style elements. Each autonomous vehicle transmits the driving style elements to a centralized remote server. The server aggregates the driving style elements collected from the autonomous vehicles to determine a driving style corresponding to that particular driving area. The server transmits the driving style back to each of the autonomous vehicles. The autonomous vehicles can then decide whether to adopt the driving style, for example, to follow the traffic flow with the rest of the vehicles nearby.

Abstract: A traffic flow rate calculation method includes, by using a road network produced by representing a road system with a plurality of nodes and a plurality of edges including a stationary sensor edge in which a stationary sensor measures the number of moving bodies; obtaining the first number of observations corresponding to the number of trajectories measured by mobile sensors for each path, the each path including the at least one edge, the each of trajectories corresponding to a movement trajectory of the moving body, and the second number of observations corresponding to the number of moving bodies measured by the stationary sensor; estimating an observation rate by using the first number of observations and the second number of observations; calculating a traffic flow rate for the each path by using the estimated observation rate and the first number of observations for each path.

Abstract: In order to provide a flow rate measurement device that can measure a flow rate of a sample fluid passing a tube body with high accuracy even though temperature irregularity of the sample fluid generates along a radial direction of the tube body, the flow rate measurement device comprise a temperature measurement device that measures a mean temperature of a sample fluid discharged from an internal combustion engine or temperature distribution of the sample fluid along a radial direction of the tube body, and a flow rate of the sample fluid is measured based on the mean temperature or the temperature distribution measured by the temperature measurement device.

Abstract: A multi-anchor depth control system for a boat or other watercraft having a line for securing anchors to the boat, at least two anchors attached at or near opposing ends of the line, a depth finder, and a controller configured to automatically adjust the amount of line released from the boat to maintain the anchors on the floor of the body of water in which the boat is floating, based upon information obtained from the depth finder.

Abstract: An automotive air-conditioning system comprising an electronic control unit programmed to store different operating profiles of the air-conditioning system, each of which is defined by a temperature, air flow rate and air distribution in the passenger compartment; and a human-machine interface configured to allow a user to select one of the stored operating profiles; and wherein the electronic control unit is further programmed to automatically control the air-conditioning system operation based on the selected operating profile.

Abstract: A saddle-ride vehicle includes a forward travel sensor a brake that decelerates the vehicle by actuation of a rider-operable brake control. A controller identifies a trigger for an autonomous braking event for the brake. A rider sensor system is in electrical communication with the controller and includes one or both of: a rider cognition sensor operable to detect parameters of rider cognition and report rider cognition status to the controller, and a rider physical sensor operable to detect parameters of a physical engagement between a rider and the vehicle and report rider physical engagement status to the controller. The controller is programmed to perform one or both of the following in response to the identification of the autonomous braking event trigger: checking for a positive cognitive engagement of the rider with the rider cognition sensor, and checking for a positive physical engagement of the rider with the rider physical sensor.