Abstract: Techniques for determining a trajectory for an autonomous vehicle are described herein. In general, determining a route can include utilizing a search algorithm such as Monte Carlo Tree Search (MCTS) to search for possible trajectories, while using temporal logic formulas, such as Linear Temporal Logic (LTL), to validate or reject the possible trajectories. Trajectories can be selected based on various costs and constraints optimized for performance. Determining a trajectory can include determining a current state of the autonomous vehicle, which can include determining static and dynamic symbols in an environment. A context of an environment can be populated with the symbols, features, predicates, and LTL formula. Rabin automata can be based on the LTL formula, and the automata can be used to evaluate various candidate trajectories. Nodes of the MCTS can be generated and actions can be explored based on machine learning implemented as, for example, a deep neural network.

Abstract: A road marking recognition device recognizes a road marking from an image acquired by imaging a road surface of a road on which a vehicle is traveling. The road marking recognition device includes: a storage unit configured to store a plurality of templates each of which corresponds to a corresponding one of plurality of feature portions of a road marking as a recognition target and between which a relative positional relationship is known; and a recognition unit configured to detect a second feature portion corresponding to a second template among the plurality of templates when the first feature portion is detected from the image.

Abstract: A driving analysis server may be configured to receive vehicle operation data from mobile devices respectively disposed within the vehicles, and may use the data to group the vehicles into multiple groups. A driving pattern for each vehicle may be established and compared against a group driving pattern of its corresponding group to identify outliers. A driver score the outliers may be adjusted positively or negatively based on whether the outlier behaved in a manner more or less safe than its group. Further, unsafe driving events performed by the outlier that were the result of another vehicle's unsafe driving event may be ignored or positively accounted for in determining or adjusting the outlier's driver score.

Abstract: Smart car operations are detailed. The smart car has a number of sensors) sensors that can share data with other vehicles and that can communicate with edge processors near 5G antenna locations to provide intelligent handling of the car.

Abstract: Method and system for managing synchronized movement of a set of vehicles. Based on a set of parameters and goals for a vehicle having an agent component, negotiating with one or more other vehicles to form a coalition of vehicles with a set of common parameter values and common goals. The method may: synchronize with the other vehicles in the coalition to result in a positioning of the vehicle in relation to the other vehicles and to synchronize time; combine the agent component of the vehicle with one or more agent components of the other vehicles in the coalition to form a distributed agent system; control the coalition of vehicles with common commands from the distributed agent system in response to feedback from sensors in each of the vehicles; and enable an override of the coalition by the vehicle agent component in response to a breach of safety parameters.

Abstract: According to one embodiment, when perception data is received that perceives a driving environment of an ADV, the lane configuration of one or more lanes of a road is determined based on the perception data. A speed of the ADV and a lane location of the ADV within a lane in which the ADV is driving are determined based on the lane configuration. A driving scenario is derived based on the lane configuration, the speed of the ADV, and the lane location of the ADV. The door locks of one or more doors of the ADV are locked or unlocked based on the driving scenario. Whether to lock or unlock a door of the ADV may be determined according to a set of door lock control rules in view of the driving scenario at the particular point in time.

Abstract: A system for preparing a worksite for an additive construction operation includes a positioning system configured to determine positioning signals including topographical characteristics of the worksite. An additive construction plan includes, at least, structure placement data, configured for a desired location for constructing the structure, and toolpath instructions for guiding the implement to construct the structure. A controller is configured to determine a construction zone on the worksite based on the structure placement data and the topographical characteristics of the worksite. The controller is further configured for determining if the construction zone is readied for execution of the toolpath instructions at the construction zone and, if the construction zone is not readied for such execution, identifying one or more impediments to construction at the worksite, within the construction zone, based on the topographical characteristics of the worksite.

Abstract: The invention comprises an apparatus and method for real-time readout of a recreational drone or UAV altitude. The invention includes an airborne sensor/transmitter unit and a ground based receiver/display unit. The airborne unit is removably attached to the flying vehicle and carried aloft. The ground based receiver/display unit is associated with the ground based operator (pilot) of the UAV. The airborne unit comprises an altitude sensor module, an RF transmitter module and a microcontroller/processor system. The ground based receiver/display unit comprises an RF receiver module, a microcontroller/processor system and a display system. UAV altitude sensed by the altitude sensor is transmitted to the ground unit for display in real-time. The invention facilitates the pilot's situational awareness, enhances safe operation and aids in compliance with applicable regulations.

Abstract: Responsive to sensor data received from one or more sensors of an autonomous vehicle, one or more predicted trajectories are generated, with each of the predicted trajectories having an associated probability. One or more driving scenarios that trigger gesture recognition are identified. For each of the identified driving scenarios, one or more gestures from one or more vehicles are detected in accordance with a gesture detection protocol. One or more gestures from the autonomous vehicle are emitted for communication with the vehicles in accordance with a gesture emission protocol based on the detected gestures. The predicted trajectories are modified based on the detected gestures, the emitted gestures and the associated probabilities of the predicted trajectories. The autonomous vehicle is controlled based on the modified predicted trajectories.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: Disclosed is a method of detecting obstacle around a vehicle. The method of detecting an obstacle around a vehicle, includes: acquiring an image of the obstacle around the vehicle using a monocular camera; creating, by a controller, a distance based cost map, a color based cost map and an edge based cost map from the image; and integrating, by the controller, the distance based cost map, the color based cost map, and the edge based cost map to create a final cost map, and estimating, by the controller, a height of the obstacle from the final cost map.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for the for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: A method includes approaching, with a vehicle, first stretch of road having a reference target. Next, data is obtained regarding the first stretch of road from both an onboard vehicle sensor and an infrastructure signal provided about the reference target. The information from the vehicle sensor is compared to the information from the infrastructure signal. Finally, the vehicle sensor is calibrated based on the infrastructure signal.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing an interactive autonomous vehicle agent. One of the methods includes receiving a request to generate an experience tuple for a vehicle in a particular driving context. A predicted environment observation representing a predicted environment of the autonomous vehicle after the candidate action is taken by the autonomous vehicle in an initial environment is generated, including providing an initial environment observation and the candidate action as input to a vehicle behavior model neural network trained to generate predicted environment observations. An immediate quality value is generated from a context-specific quality model that generates immediate quality values that are specific to the particular driving context.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: A parking assist apparatus includes a parking switch for instructing an execution or a release of a parking assist function, a sensor for searching a parking slot, and a controller for searching the parking slot using the sensor when the parking switch is turned on, entering a vehicle speed control mode to check an interface operation by a driver, controlling vehicle speed according to the interface operation, and performing a parking assist.

Abstract: Example methods and systems for calibrating sensors using road map data are provided. An autonomous vehicle may use various vehicle sensors to assist in navigation. Within examples, the autonomous vehicle may calibrate vehicle sensors through performing a comparison or analysis between information about the environment received by sensors with similar information provided by map data (e.g., a road map). The autonomous vehicle may compare object locations as provided by the sensors and as shown by map data. Based on the comparison, the autonomous vehicle may adjust various sensors to accurately reflect the information as provided by the road map. In some instances, the autonomous vehicle may adjust the position, height, orientation, direction-of-focus, scaling, or other parameters of a sensor based on the information provided by a road map.

Abstract: The present disclosure is directed to autonomous vehicle having a vehicle control system. The vehicle control system includes a processing system that receives input values that indicate attributes of an object within a threshold distance of the autonomous vehicle and variance values indicating uncertainty associated with the input values. The processing system also provides a plurality of outcomes that are associated with combinations of split decisions. A given split decision indicates whether a particular input value is above or below a threshold value associated with the given split decision. The processing system further determines (i) a probability that the particular input value is above a threshold value and (ii) a probability that the particular input is below the threshold value for a given split decision. Additionally, the processing system determines one or more likelihoods associated with a given outcome. Further, the processing system provides instructions to control the autonomous vehicle.

Abstract: An Autonomous Collision Avoidance Navigation System comprising navigating a route between a first location and a second location using a route tracking algorithm, detecting an obstacle and the obstacle's bearing, speed, distance, and direction of travel with respect to ownship, determining whether a collision between the ownship and the obstacle is probable, reducing ownship speed when a collision distance is less than a predetermined distance, determining a new heading using fuzzy logic and MCAD, and changing ownship course to the new heading, and to resume the route tracking algorithm when the obstacle is cleared from probably collision.

Abstract: A user interface method for a terminal for a vehicle is provided. The terminal obtains position information to detect a point of a road. A road image of a driving direction is obtained, a lanes of the road represented on the obtained road image is recognized, and a point of a road and lane in which the vehicle having the terminal arranged therein is detected. A virtual road image regarding the recognized lanes is generated, and the generated virtual lanes are added to the road image of the driving direction of the vehicle, and displayed. Traffic information for each lane and surrounding information (i.e. lane closure, construction, accident, etc.,) at the detected point of the relevant road are obtained, and the obtained information is displayed for each virtual lane.

Abstract: A method for determining a suitable landing area for an aircraft includes receiving signals indicative of Light Detection And Ranging (LIDAR) information for a terrain via a LIDAR perception system; receiving signals indicative of image information for the terrain via a camera perception system; evaluating, with the processor, the LIDAR information and generating information indicative of a LIDAR landing zone candidate region; co-registering in a coordinate system, with the processor, the LIDAR landing zone candidate region and the image information; segmenting, with the processor, the co-registered image and the LIDAR landing zone candidate region to generate segmented regions; classifying, with the processor, the segmented regions into semantic classes; determining, with the processor, contextual information in the semantic classes; and ranking and prioritizing the contextual information.

Abstract: A navigation system and associate methods are described that include a plurality of fixed terrestrial based reference devices that calibrate the system by tracking positional error between the fixed terrestrial based reference devices. A navigation system and associated methods are also described that include a laser positioning system. A navigation system and associated methods are described that include an RF positioning system. In one example, the laser positioning system, and the RF positioning system cross check one another to ensure reliability and accuracy of a position measurement.

Abstract: A robot system includes a planar sign, a robot, a distance direction sensor, and a controller. The controller is configured to control the robot and includes a map data memory and a progress direction determining device. The map data memory is configured to store map data of a predetermined running path including a position of the planar sign. The progress direction determining device is configured to compare a detection result of the distance direction sensor and the stored map data so as to determine a progress direction of the robot.

Abstract: An autonomous vehicle configured to determine the heading of an object-of-interest based on a point cloud. An example computer-implemented method involves: (a) receiving spatial-point data indicating a set of spatial points, each spatial point representing a point in three dimensions, where the set of spatial points corresponds to an object-of-interest; (b) determining, for each spatial point, an associated projected point, each projected point representing a point in two dimensions; (c) determining a set of line segments based on the determined projected points, where each respective line segment connects at least two determined projected points; (d) determining an orientation of at least one determined line segment from the set of line segments; and (e) determining a heading of the object-of-interest based on at least the determined orientation.

Abstract: An operator control unit has a user interface that allows a user to identify a mode of display and interaction that narrows the user's options for his next interaction with the user interface. The user interface utilizes portals to transition between environments such as indoors to outdoors, outdoors to indoors, different rooms of a building, and different floors of a building, the portals representing one or more of stairways and doors, and being used in remote vehicle path planning as waypoints that may require execution of predetermined behaviors.

Abstract: A method and apparatus for evaluating capabilities of a system (e.g. an autonomous vehicle) with respect to the performance of a task, the method including: providing a first model corresponding to the task; providing a further model corresponding to the system; providing a plurality of mappings from one model to another model; determining whether there exists a transformation trace either (i) from the first model to the further model, or (ii) from the further model to the first model, wherein each transformation trace includes one or more of the specified mappings; and evaluating the capabilities of the system with respect to the task dependent upon the existence of the transformation trace.

Abstract: A movement trajectory generator 1 that generates a movement trajectory of a vehicle is provided, which includes traveling environment recognition means 10, 11, and 21 for recognizing a traveling environment, movement strategy generation means 22 for generating movement strategies for positioning in a road area according to the traveling environment that is recognized by the traveling environment recognition means, presenting means 12, 23, and 27 for presenting a passenger setting information of the movement strategies, setting means 12 and 28 for receiving an operation for the passenger to set the movement strategies based on the setting information of the movement strategies presented by the presenting means, and movement trajectory generation means 29 for generating the movement trajectory based on the movement strategies set by the setting means.

Abstract: An autonomous mobile body is configured to flexibly avoid obstacles. The mobile body has a movement mechanism configured to translate in a horizontal plane and rotate around a vertical axis, and the distance to an obstacle is derived for each directional angle using an obstacle sensor. A translational potential of the mobile body and a rotational potential of the mobile body for avoiding interference with the obstacle are generated, based on the distance from the autonomous mobile body to the obstacle at each directional angle. An amount of control relating to a translational direction and a translational velocity of the mobile body and an amount of control relating to a rotational direction and an angular velocity of the mobile body are generated based on the generated potentials, and the movement mechanism is driven.

Abstract: A method and system for control of a first aircraft relative to a second aircraft. A desired location and desired orientation are estimated for the first aircraft, relative to the second aircraft, at a subsequent time, t=t2, subsequent to the present time, t=t1, where the second aircraft continues its present velocity during a subsequent time interval, t1?t?t2, or takes evasive action. Action command sequences are examined, and an optimal sequence is chosen to bring the first aircraft to the desired location and desired orientation relative to the second aircraft at time t=t2. The method applies to control of combat aircraft and/or of aircraft in a congested airspace.

Abstract: An automated personal assistance system employing artificial intelligence technology that includes speech recognition and synthesis, situational awareness, pattern and behavioral recognition, and the ability to learn from the environment. Embodiments of the system include environmental and occupant sensors and environmental actuators interfaced to an assistance controller having the artificial intelligence technology incorporated therein to control the environment of the system. An embodiment of the invention is implemented as a vehicle which reacts to voice command for movement and operation of the vehicle and detects objects, obstructions, and distances. This invention provides the ability to monitor for the safety of operation and modify dangerous maneuvers as well as to learn locations in the environment and to automatically find its way to them. The system may also incorporate communication capability to convey patterns of environmental and occupant parameters and to a monitoring center.

Abstract: A method to navigate a vehicle utilizing a graphic projection display, includes monitoring a navigation status graphic representing a navigation intent displayed upon the graphic projection display, monitoring a user input indicated to a portion of the graphic projection display, initiating a user-defined navigation command based on the monitored navigation status graphic and the monitored user input, and operating the vehicle in accordance with the user-defined navigation command.

Abstract: A parse module calibrates an interior space by parsing objects and words out of an image of the scene and comparing each parsed object with a plurality of stored objects. The parse module further selects a parsed object that is differentiated from the stored objects as the first object and stores the first object with a location description. A search module can detect the same objects from the scene and use them to determine the location of the scene.

Abstract: Vehicle control system and method in which restrictions on travel of the vehicle are determined based on an indication of the visibility of a driver and information about objects moving in a direction opposite to the direction of travel of the vehicle are considered. The travel restrictions include preventing a passing maneuver on a two-lane road when an oncoming vehicle precludes safely initiating or completing an already-initiated passing maneuver. A warning system is provided to warn a driver about the travel restrictions so that the driver will, hopefully, not attempt an unsafe maneuver.

Abstract: A moving robot configured to generate a map of an environment of a territory and allow a user to set a structure of the territory and information on the map used for a location-based service and to use a more intuitively intelligent service is provided. The moving robot includes an operation performer configured to move around a territory and perform a certain operation, a detector configured to collect map building information of the territory, and a controller configured to control the moving robot to move to a set particular area within the territory by referring to the map information of the territory generated based on the collected map building information and control the operation performer to perform the operation with respect to the particular area.

Abstract: An autonomous vehicle includes: a first sensor which obtains environmental information on surrounding environment of the autonomous vehicle; and a control unit which controls a drive unit based on a self position. The control unit includes: a first estimation unit which calculates a first estimate value indicating an estimated self position, by estimation using a probabilistic method based on the environmental information; and a second estimation unit which calculates a second estimate value indicating an estimated self position, by estimation using a matching method based on the environmental information, and the control unit changes, according to the first estimate value, a second estimate range for the calculating of the second estimate value by the second estimation unit, and controls the drive unit using the second estimate value as the self position.

Abstract: Methods and devices for using uncertainty regarding observations of traffic intersections to modify behavior of a vehicle are disclosed. In one embodiment, an example method includes determining a state of a traffic intersection using information from one or more sensors of a vehicle. The vehicle may be configured to operate in an autonomous mode. The method may also include determining an uncertainty associated with the determined state of the traffic intersection. The method may further include controlling the vehicle in the autonomous mode based on the determined state of the traffic intersection and the determined uncertainty.

Abstract: Aspects of the present disclosure relate generally to generating elevation maps. More specifically, data points may be collected by a laser moving along a roadway and used to generate an elevation map of the roadway. The collected data points may be projected onto a two dimensional or “2D” grid. The grid may include a plurality of cells, each cell of the grid representing a geolocated second of the roadway. The data points of each cell may be evaluated to identify an elevation for the particular cell. For example, the data points in a particular cell may be filtered in various ways including occlusion, interpolation from neighboring cells, etc. The minimum value of the remaining data points within each cell may then be used as the elevation for the particular cell, and the elevation of a plurality of cells may be used to generate an elevation map of the roadway.

Abstract: A vehicle configured to operate in an autonomous mode can obtain sensor data from one or more sensors observing one or more aspects of an environment of the vehicle. At least one aspect of the environment of the vehicle that is not observed by the one or more sensors could be inferred based on the sensor data. The vehicle could be controlled in the autonomous mode based on the at least one inferred aspect of the environment of the vehicle.

Abstract: A system for determining a cut location at a work surface includes a position sensor and a controller. The controller stores a final design plane of the work surface and determines an actual profile of the work surface. A plurality of target profiles extending along a path are determined, each corresponding to a cut location. The target profiles are based at least in part upon the cut location, a loading profile, slot parameters, and the actual profile of the work surface. The controller is further configured to determine a lowest cost target profile and the lowest cost target profile defines an optimized cut location. A method is also provided.

Abstract: A system for controlling a group of vehicles as a whole in which each individual member of the group receives telemetry from other members of the group or from the group as a whole, and makes decisions regarding the setting and/or changing of local operating parameters based on the received telemetry.

Abstract: Disclosed is a method of increasing track capacity in an automated vehicle system, the automated vehicle system comprising a network of tracks along which vehicles are adapted to travel, the network comprising at least one merge point at which at least two up stream tracks merge to form a downstream track, at least one diverge point at which one upstream track diverges to form at least two down-stream tracks and a plurality of stations at which passengers may board and/or disembark from the vehicles; wherein the method comprises controlling vehicles so as to cause empty vehicles to travel as at least one sequence of vehicles defined as a platoon; and controlling the empty vehicles of the at least one sequence to travel with a first safety distance between each other, the first safety distance being shorter than a second safety distance between vehicles being at least partially loaded.

Abstract: Methods and systems are provided for triaging a plurality of targets with robotic vehicle while the robotic vehicle remains at a first location. The robotic vehicle is in operable communication with a remote command station and includes a processor that is coupled to a first imager. The first imager generates separate images of each one of the plurality of targets while the robotic vehicle remains at the first location. The processor receives target data identifying the plurality of targets from the remote command station, acquires an image of each one of the plurality of targets with the first imager while the robotic vehicle remains at the first location, and transmits each generated image to the remote command station.

Abstract: A method of commanding a remote vehicle includes executing a command on a controller of the remote vehicle based on a kinodynamic fixed depth motion planning algorithm to use incremental feedback from evaluators to select a best feasible action. The method also includes determining servo commands corresponding to the best feasible action for one or more actuators of a drive system or a manipulation system of the remote vehicle and commanding the one or more actuators of the remote vehicle based on the servo commands. The best feasible action includes actions within a fixed time horizon of several seconds from a current time each time a feasible action is selected.

Abstract: A system is provided for processing container-grown plants positioned in a given area. The system includes a processing station positioned in the area for processing the container-grown plants. It also includes one or more autonomous mobile container handling robots configured to: (i) travel to a source location in the area and pick up a container-grown plant, (ii) transport the container-grown plant to the processing station where a process is performed on the container-grown plant, (iii) transport the container-grown plant from the processing station to a destination location in the area, (iv) deposit the container-grown plant at the destination location, and (v) repeat (i) through (iv) for a set of container-grown plants in the source location.

Abstract: The present invention proposes a profound user-mower interaction, which enables the user to teach a robotic lawn mower for improving its visual obstacle detection. The main idea of the invention is that the user can show some typical obstacles from his garden to the mower. This will increases the performance of the visual obstacle detection. In the simplest scenario the user just places the mower in front of an obstacle, and activates the learning mechanism of the classification means (module) of the mower. The increasing use of smart devices such as smart phones or tablets enables also more elaborated learning. For example, the mower can send the input image to the smart device, and the user can provide a detailed annotation of the image. This will drastically improve the learning, because the mower is provided with ground truth information.

Abstract: A method is provided for processing data in an influencing device, whereby the influencing device is connectable to a vehicle control unit and to a data processing unit. If the influencing device receives a first trigger or a second trigger, the first trigger is checked for a valid assignment to a function implemented in the hardware or software. If there is a valid assignment, the assigned function is started. A first address and/or a second address and/or the value are checked for a valid assignment to a first sub-function or a second sub-function. Depending on the called sub-function, the value is checked and/or manipulated and depending on the result of the check, the checked value and/or the manipulated value are sent by the influencing device to the vehicle control unit and/or to the data processing unit and/or stored in the memory of the influencing device.

Abstract: An automated method for autonomous navigation of a maneuverable platform is disclosed. The method includes providing an autonomous navigation system that includes a situation awareness module to receive data from one or more sensors on one or more identifying parameters selected from the group of identifying parameters that includes position, course and speed, relating to the platform and obstacles in the vicinity of the platform. The platform also includes a decision module to choose course and speed for the platform based on the identifying parameters of the obstacles in the vicinity of the platform and the data on the position of the platform.

Abstract: Vehicle control system and method in which restrictions on travel of the vehicle are determined based on an indication of the visibility of a driver and information about objects moving in a direction opposite to the direction of travel of the vehicle are considered. The travel restrictions include preventing a passing maneuver on a two-lane road when an oncoming vehicle precludes safely initiating or completing an already-initiated passing maneuver. A warning system is provided to warn a driver about the travel restrictions so that the driver will, hopefully, not attempt an unsafe maneuver.

Abstract: A method and a device are described for scanning the surrounding environment of a vehicle. When the vehicle falls below a first boundary speed a timer is triggered whose state is incremented until the vehicle exceeds a boundary speed, a check of the unobstructed view of the scanning device being carried out upon expiration of the time period recorded by the state of the timer and in which the state of the counter is incremented.