Abstract: Route guidance using less client device power and bandwidth is enabled by automatically selecting portions of a map to display with higher and lower levels of detail. An origin location and destination location are displayed at a higher level of detail, while portions between origin and destination are displayed at a lower level of detail. A user of a transportation service may request a ride, specifying her pickup location and destination locations using a map rendered at a higher level of detail. While waiting for pickup, and while in route to the destination location, the user may consult a map that is rendered at a lower level of detail. When multiple users participate as riders in a transportation service, sharing a common driver but each having different pickup and drop off locations, portions of a map may be rendered differently for each user.

Abstract: A method and an apparatus for a train control installation are disclosed, and are based on the absolute permissive block concept. The train control installation employs a plurality of generic absolute block signal units (ABSU), wherein each signal unit includes means for detecting the crossing of a train passed a discrete point, means for exchanging data with adjacent ABSUs, means for generating and communicating a movement authority limit to a train, means for generating and displaying a signal indication, and means for enforcing a stop aspect. The train control installation can be used in conjunction with a communication based train control (CBTC) system to provide a degraded mode of operation without impacting the availability and the reliability of the CBTC system. Further, the train control installation has a self-healing feature to maintain train service during an ABSU failure.

Abstract: The disclosure relates to using ambient lighting conditions with passenger and goods pickups and drop offs with autonomous vehicles. For instance, a map of ambient lighting conditions for stopping locations may be generated by receiving ambient lighting condition data for predetermined stopping locations and arranging this data into a plurality of buckets based on time and one of the stopping locations. A vehicle may then be controlled in an autonomous driving mode in order to stop for a passenger by both observing ambient lighting conditions for different stopping locations and, in some instances, also using the map.

Abstract: Methods and systems of determining and displaying a taxiing route on an airport moving map. The methods and systems include computer implemented steps of: deriving a location of the ground traffic with respect to taxiways or runways at an airport and a direction of travel of the ground traffic, executing a route planning algorithm for determining a route including one or more taxiways and runways from an aircraft location to the taxi destination using, as inputs, airport data from an airport mapping database, the location of the ground traffic, the direction of travel of the ground traffic, and a taxi destination, and generating a display for the display device including an airport moving map based on airport data from the airport mapping database and including a graphical depiction of the route on the airport moving map.

Abstract: A method for simultaneous localization and mapping (SLAM) employs dual event-based cameras. Event streams from the cameras are processed by an image processing system to stereoscopically detect surface points in an environment, dynamically compute pose of a camera as it moves, and concurrently update a map of the environment. A gradient descent based optimization may be utilized to update the pose for each event or for each small batch of events.

Abstract: A method of calibrating a total station using a GNSS device includes physically coupling the total station with the GNSS device at a first location; determining the position of the total station at the first location based on position data received by the GNSS device; decoupling the total station from the GNSS device; moving the GNSS device to a second location while leaving the total station at the first location; determining the position of the GNSS device at the second location based on position data received by the GNSS device; adjusting the position of a camera on the total station to image the GNSS device while at the second location; determining axes of the camera based on the orientation of the camera and the determined positions at the first and second locations; and calibrating encoders of the total station based on the determined axes.

Abstract: A brake controlling apparatus includes a gradient sensor, an operation unit, a brake controlling unit, and a storage unit. The gradient sensor is configured to detect a road gradient. The operation unit is configured to switch a constant speed downhill traveling function to become effective. The brake controlling unit is configured to control first and second regenerating units configured to generate regenerative electric power from braking torques of front and rear wheels, respectively. The storage unit is configured to hold an efficiency map. In a case where the constant speed downhill traveling function is caused to become effective, the brake controlling unit is configured to calculate braking torque distribution between the front and rear wheels based on the road gradient and the efficiency map to cause total regeneration efficiency to satisfy a first condition, and control the first and second regenerating units on a basis of the braking torque distribution.

Abstract: A system and method for cooperative aerial vehicle collision avoidance provides an ESA-based sensor network capable of high-resolution threat proximity measurements and cooperative and non-cooperative collision avoidance in the full spherical volume surrounding an aerial vehicle. The system incorporates a plurality of ESA panels onto the airframe where the conical scan volumes overlap leaving no gaps in spherical proximity coverage. The resulting received data is stitched together between the neighboring ESA panels and used to determine a position and vector for each threat aerial vehicle within range. The data is transmitted through a cooperative collision avoidance network to nearby aerial vehicles, and presented to the autopilot and flight crew to increase situational awareness. The system determines a maneuver for the aerial vehicle and a maneuver for the threat aerial vehicle based on relative maneuvering capabilities to maintain desired separation.

Abstract: A flight device configured to fly in an air includes an acquisition part configured to acquire a flight plan of the flight device; and a flight control part configured to change the flight plan during a flight along a flight route according to the flight plan for the flight device to circumvent a high-density area having a density of avoided objects equal to or above a threshold density in a first area located forward and downward from a position of the flight device.

Abstract: A notification device includes a recognition unit configured to recognize a plurality of surrounding vehicles, a notification unit configured to provide information as a notification toward an outside of a vehicle, a determination unit configured to determine whether or not at least one of the plurality of surrounding vehicles recognized by the recognition unit is an entering vehicle going to pass in front of the vehicle, and a notification control unit configured to cause the notification unit to notify the entering vehicle of a recognition result of the recognition unit when the determination unit determines that at least one of the plurality of surrounding vehicles is the entering vehicle.

Abstract: A system and method for identifying a safe path in a partially unknown environment in a time critical fashion includes identifying long range paths that avoid known obstacles. Short range paths within a receding horizon are identified corresponding to the long range paths, the short range paths avoiding known obstacles and unknown regions. Each short range path is broken into segments based on subsequent control operations or timing, and abort procedures are identified corresponding to each segment to enforce time critical availability of a safe action. Short range paths are excluded unless abort procedures can be identified for subsequent segments.

Abstract: An aircraft-based runway overrun awareness alerting system (ROAAS) for an aircraft primary flight display (PFD) is disclosed. In embodiments, the ROAAS is embodied aboard an aircraft and tracks trends in the aircraft position and heading. Further, the ROAAS tracks the trending energy state of the aircraft on approach to a runway. Based on the current energy state, as well as the runway parameters, the ROAAS predicts a landing point for the aircraft along the runway as a trend based on the evolving energy state and position of the aircraft. Based on the landing point trend, as well as the energy state, the ROAAS determines the current likelihood of runway excursion as an evolving trend (e.g., that the aircraft will not have sufficient runway remaining to decelerate or stop) and displays this likelihood as a dynamic graphic element not integrated into any other instruments or components displayed by the PFD.

Abstract: Provided is a method of avoiding collision of an unmanned aerial vehicle with an obstacle, the method including: calculating two potential fields using ament positional information of the unmanned aerial vehicle, a target point that is set, and positional information of the obstacle measured by a sensor, computing an attractive force and a repulsive force by differentiating the computed potential fields, respectively; computing a direction of a potential force that results from adding up the computed attractive force and repulsive force; and performing control that brings about a change from the computed direction of the potential force to a direction in which the unmanned aerial vehicle moves.

Abstract: Systems and methods for vehicle motion planning based on uncertainty are provided. A method can include obtaining scene data descriptive of one or more objects within a surrounding environment of the autonomous vehicle. The method can include determining one or more subproblems based at least in part on the scene data. In some implementation, each of the one or more subproblems can correspond to at least one object within the surrounding environment of the autonomous vehicle. The method can include generating one or more branching policies based at least in part on the one or more subproblems. In some implementations, each of the one or more branching policies can include scene data associated with the autonomous vehicle and one or more objects within the surrounding environment of the autonomous vehicle. The method can include determining one or more costs associated each of the one or more branching policies.

Abstract: A method for policy-based traffic encounter assessment to detect and avoid traffic includes determining, by a processor, an ownship predicted trajectory of an aircraft. The aircraft is the ownship. The method also includes determining a traffic predicted trajectory of one or more other aircraft in the vicinity of the ownship. The one or more other aircraft includes traffic. The method also includes assessing an encounter between the ownship and the traffic, wherein assessing the encounter between the ownship and the traffic includes applying an encounter assessment policy to the traffic predicted trajectory and the ownship predicted trajectory. The method further includes generating encounter assessment data in response to assessing the encounter between the ownship and the traffic. The encounter assessment data is used to at least detect and avoid the traffic by the ownship.

Abstract: The subject application relates to monitoring of drive by wire sensors in vehicles. Systems, methods and apparatuses of predictive maintenance of drive by wire systems of vehicles are provided. For example, a data storage device is configured in a vehicle to receive and store sensor data from at least one drive by wire system of the vehicle. During a period in which the vehicle is assumed to be operating normally, the sensor data stored in the data storage device is used to train an artificial neural network to recognize the normal patterns in the sensor data. Subsequently, using the trained artificial neural network, the data storage device determines whether operations of the at least one drive by wire system are abnormal based on the sensor data. A maintenance alert can be generated for the vehicle in response to a determination that the operations of the at least one drive by wire system are abnormal according to the artificial neural network.

Abstract: A vehicle takes and evaluates an image of the surroundings of the vehicle. If the result of the evaluation is that the image possibly contains a static object that could be suitable as a landmark, then the image and a position of the vehicle ascertained by the vehicle at the location at which the image is taken are transmitted to a data processing station. Image analysis of the received image allows the data processing station to establish whether the supposedly static object is suitable as a landmark. When the object has been verified as a landmark, the data processing station creates a data record describing the object, which data record is transmitted to the vehicle.

Abstract: The present disclosure relates to a method for determining an action for collision avoidance in a craft.

Abstract: Method, systems, and computer-readable media containing instructions which, when executed by a computing device, cause it to receive data from an inertial measurement unit, including GPS data, velocity data, and bearing data, receive data from a digital magnetic compass, including bearing data, receive data from a Doppler sensor, including velocity data and distance data, determining whether GPS location data is in consensus with a previous derived multi-source reckoning system location, determining a consensus distance value from a weighted average of data from the inertial measurement unit and the Doppler sensor, determine a consensus heading value from a weighted average of data from the inertial measurement unit and the digital magnetic compass, determine a consensus geolocation value from a weighted average of data from the inertial measurement unit and the previous derived multi-source reckoning system location, and determine a derived multi-source reckoning system location.

Abstract: A ground collision avoidance method in an ownship vehicle is disclosed. The method includes: retrieving position measurements for the ownship vehicle and for a dynamic obstacle; retrieving mapping data from an airport map database that includes coordinate data for airport travel pathways; adjusting a position measurement for the ownship vehicle and a position measurement for the dynamic obstacle based on coordinate data retrieved from the airport map database and historical aircraft movement data; predicting a series of future positions for the ownship vehicle that are constrained by airport surface operation rules; predicting a series of future positions for the dynamic obstacle that are constrained by airport surface operation rules; calculating whether a potential collision is imminent; and causing a collision alert to be displayed when the processor has determined that a potential collision between the ownship vehicle and the dynamic obstacle is imminent.