Abstract: A catastrophe analysis computing system includes a processor; an electronic network; and a memory having stored thereon non-transitory computer-executable instructions that, when executed by the processor, cause the system to: cause a client device to receive a exposure map layer; cause a filter graphical user interface and wind speed layers to be displayed in a graphical user interface; receive an input; and update the map graphical user interface. In another aspect, a method includes causing a client device to receive an exposure map layer; causing a filter graphical user interface and wind speed layers to be displayed in a graphical user interface; receiving an input; and updating the map graphical user interface. A method includes receiving an exposure map; displaying a filter graphical user interface; receiving an input; and updating a map graphical user interface.

Abstract: A system and method are provided for controlling an interior configuration of a vehicle following a collision. Sensor data that includes, or is derived from data that includes, data collected by one or more sensors is received, and a vehicle accident condition indicative of an accident having occurred is detected by processing the sensor data. After detecting the vehicle accident condition, an actuator component is caused to prevent a passenger from adjusting an interior vehicle component outside a predetermined range of physical configurations, while allowing the passenger to adjust the interior vehicle component within the predetermined range of physical configurations.

Abstract: Systems and methods for modifying operation of an autonomous vehicle in an emergency situation are disclosed. According to aspects, a computing device associated with the autonomous vehicle detects, based on sensor(s), an emergency event associated with the autonomous vehicle. In response to detecting the emergency event, the computing device determines location(s) of emergency vehicle(s) and determines an assistance location for the autonomous vehicle. The computing device determines which of the emergency vehicle(s) is a nearest emergency vehicle that is nearest to the assistance location, and transmits the assistance location to the nearest emergency vehicle. The computing device then causes the autonomous vehicle to travel to the assistance location.

Abstract: The technology relates to identifying sensor occlusions due to the limits of the ranges of a vehicle's sensors and using this information to maneuver the vehicle. As an example, the vehicle is maneuvered along a route that includes traveling on a first roadway and crossing over a lane of a second roadway. A trajectory is identified from the lane that will cross with the route during the crossing at a first point. A second point beyond a range of the vehicle's sensors is selected. The second point corresponds to a hypothetical vehicle moving towards the route along the lane. A distance between the first point and the second point is determined. An amount of time that it would take the hypothetical vehicle to travel the distance is determined and compared to a threshold amount of time. The vehicle is maneuvered based on the comparison to complete the crossing.

Abstract: Method and device for supporting generation of scenarios for testing autonomous driving and/or advanced driver assistance system, AD/ADAS, functionality for real world vehicles. A device (101; 500) provides (301) a virtual environment (200) simulating an environment relevant for operation of vehicles having said AD/ADAS functionality and in which is operating: fully computer controlled movable virtual objects (230a-c), human controlled movable virtual objects (220) and at least one virtual AD/ADAS vehicle (210) operating according to said AD/ADAS functionality. The device allows (303) a user of the device (101; 500) to, via user interface (506), control said one or more human controlled movable virtual objects (220) during operation and thereby cause generation of scenarios that the virtual AD/ADAS vehicle (210) is subjected to.

Abstract: The current disclosure provides techniques for using human driving behavior to assist in decision making of an autonomous vehicle as the autonomous vehicle encounters various scenarios on the road. For each scenario, a model may be generated based on human driving behavior that governs how an autonomous vehicle maneuvers in that scenario. As a result of using these models, reliability and safety of autonomous vehicle may be improved. In addition, because the model is programmed into the autonomous vehicle, the autonomous vehicle, in many instances, need not consume resources to implement complex calculations to determine driving behavior in real-time.

Abstract: One or more maps are obtained by an agricultural work machine. The one or more maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: Among other things, we describe techniques for operation of a vehicle based on measured load characteristics and/or passenger comfort. One or more sensors of the vehicle can measure passenger data and/or load data of the vehicle. The passenger data and/or load data of the vehicle can be used by the vehicle to determine how to navigate within the surrounding environment.

Abstract: A control system provides steering control commands to a steering actuator of a steering device on a piece of towed marine equipment. A memory in the control system stores setpoint data including positional values for a desired position of the piece of towed marine equipment. A control module is configured to receive the setpoint data, receive process data representing a calculated actual position of the piece of towed marine equipment; and calculate a control command for the steering actuator of the steering device based upon the setpoint data and the process data. A disturbance adjustment calculation module is configured to combine a disturbance value based upon a measured disturbance with a value of the process data and output a disturbance adjustment value. A correction calculator module adds the disturbance adjustment value to the control command to create an adjusted control command for transmission to the steering actuator.

Abstract: A system for managing a work site includes: an identification unit that identifies a discharging position of a manned vehicle in the work site where an unmanned vehicle and the manned vehicle operate in a mixed manner; and an operation control unit that controls operation of the unmanned vehicle based on the discharging position.

Abstract: A control arrangement for a vehicle, specifically adapted for use and creation of map data for improved operation of the vehicle. A corresponding method and computer program product is also provided.

Abstract: A mobile platform includes at least one first sensor mounted at a first position on the mobile platform and at least one second sensor mounted at a second position on the mobile platform, where the first position is offset from the second position. The at least one first sensor is configured to capture first data measurements of plants in the growing area. The at least one second sensor is configured to capture second data measurements of the plants in the growing area. Each of the first and second data measurements is associated with a three-dimensional position within the growing area and a time. The first and second sensors are configured to generate at least one common type of data measurement such that at least some of the first and second data measurements represent stereo-spatio-temporal data measurements of the plants in the growing area.

Abstract: A system and method for vehicle drive path analysis for a waste/recycling service vehicle are provided. The system and method can enable identifying of the customers and/or container locations for waste and recycling collection routes using vehicle drive path analysis. Some non-limiting properties that can be derived from the analysis include the customer location, address of customers, and/or the locations of containers at the customer location.

Abstract: A mobile terminal includes a mobile communication unit for communicating with an in-vehicle signal-sending device, an input operation unit for inputting data, a computational processing unit for performing computational processing, a display unit for displaying a screen, a storage unit for storing screen display information, and a mobile control unit for controlling the display unit. The computational processing unit has a function for calculating a loadage deviation based on vehicle specifications and vehicle loadage information contained in a sensor signal from the mobile communication unit, the storage unit has a function for presetting the vehicle specifications, the loadage deviation, and the screen display information prepared to display the vehicle specifications and the loadage deviation on the display unit screen, and the mobile control unit has a function for causing the display unit to display at least the vehicle specifications and the loadage information based on the screen display information.

Abstract: A computer-implemented method for allowing a user to visualize exposure data to facilitate catastrophe analysis includes receiving a wind speed probabilities data set; selecting a count of policies; generating an exposure map layer; and transmitting the map layer to a client device. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to: receive one or more map layers; display a set of filter criteria; receive an input of a user; and update the map graphical user interface.

Abstract: Systems and methods are disclosed for detecting crosswalk locations. Crosswalk locations can be detected by determining at least two painted lines on a road surface, and then combining the at least two painted lines on the road surface into a grouping of related elements. The grouping of related elements can be classified into a crosswalk (or in some embodiments a type of crosswalk) based on attributes of the grouping of related elements, where the attributes of the grouping of the elements includes a distance between the at least two painted lines, and an orientation of the grouping of related elements on the road surface.

Abstract: An unmanned ground-based system is disclosed which includes a chassis, a plurality of wheels coupled to the chassis and configured to allow the chassis to move about a surface, a plurality of propeller assemblies configured to provide on-ground motion propulsions, a boom having a boom propeller assembly with a propeller disposed on a plane generally perpendicular to the plurality of propeller assemblies, configured to independently and selectively provide positive and negative rectilinear thrust vectors, and an end-effector coupled to a distal end of the boom, the end-effector having a force sensor configured to provide contact force between the end-effector and an object, wherein the contact force is used as a feedback signal to determine magnitude of the positive and negative rectilinear thrust vectors that is generated by the propeller of the boom propeller assembly.

Abstract: A controller selectively generates output for display indicative of a recommendation against use of a power outlet in a vehicle with devices external to the vehicle having a power rating greater than a predefined power rating threshold based on a difference between a current state of charge of a battery of the vehicle and a required state of charge for the battery.

Abstract: Disclosed is a configuration to control automatic return of an aerial vehicle. The configuration stores a return location in a storage device of the aerial vehicle. The return location may correspond to a location where the aerial vehicle is to return. One or more sensors of the aerial vehicle are monitored during flight for detection of a predefined condition. When a predetermined condition is met a return path program may be loaded for execution to provide a return flight path for the aerial vehicle to automatically navigate to the return location.

Abstract: Disclosed are systems, methods and devices for centralized control of autonomous vehicles. In some embodiments, a system and method allow an autonomous control system on-board an autonomous vehicle to pass control of the autonomous vehicle to an offboard panel of experts upon encountering an anomaly. In some embodiments, a system and method allow a regulatory entity to proactively distribute rules and requirements to autonomous vehicles while operating within a regulated space.