Abstract: An autonomous vehicle configured for active sensing may also be configured to weigh expected information gains from active-sensing actions against risk costs associated with the active-sensing actions. An example method involves: (a) receiving information from one or more sensors of an autonomous vehicle, (b) determining a risk-cost framework that indicates risk costs across a range of degrees to which an active-sensing action can be performed, wherein the active-sensing action comprises an action that is performable by the autonomous vehicle to potentially improve the information upon which at least one of the control processes for the autonomous vehicle is based, (c) determining an information-improvement expectation framework across the range of degrees to which the active-sensing action can be performed, and (d) applying the risk-cost framework and the information-improvement expectation framework to determine a degree to which the active-sensing action should be performed.

Abstract: Provided is a method for delivering goods in collaboration of a plurality of autonomous vehicles including a master vehicle and one or more slave vehicles.

Abstract: An assignment system and method determine time-variable risk profiles for separate vehicle systems that are remotely controlled by operators located off-board the vehicle systems. The time-variable risk profiles represent risks to travel of the vehicle systems that change with respect to time. An operator staffing demand for the vehicle systems may be determined based on the time-variable risk profiles. The staffing demand represents how many operators are needed for remotely controlling the vehicle systems at different times and a required qualification of one or more operators. The system and method also assign operators to remotely monitor and/or control the vehicle systems based on the risk profiles and, optionally, the staffing demand. The operator assigned to one or more vehicle systems changes with respect to time while the vehicle systems are moving along routes.

Abstract: Methods, systems, and apparatus for an event navigation system. The event navigation system includes a sensor configured to monitor traffic flow within a first structure. The event navigation system includes a memory configured to store a map of the first structure. The event navigation system includes a processor coupled to the sensor and the memory. The processor is configured to obtain a current location of a user and a destination location for the user. The processor is configured to determine a route from the current location to the destination location based on the map of the first structure, the current location, the destination location and the traffic flow within the first structure. The processor is configured to provide the route to the user.

Abstract: To provide a parking assistance apparatus capable of achieving easier leaving parking space. A parking assistance apparatus includes a detection section detecting a first parking space in which a vehicle can be parked, and a control section forward parking the vehicle in the first parking space. When a second parking space in which the vehicle can be parked in front of the vehicle entering the first parking space, the control section causes the vehicle that has been already under control to be forward parked in the first parking space to enter the second parking space from the first parking space and to be parked in the second parking space.

Abstract: A parking space can be identified. A lateral clearance can be identified when a vehicle is parked in the parking space based on identifying a first door of the vehicle to be provided the lateral clearance when the vehicle is parked. A parking position of the vehicle in the parking space can be determined, including a parking bias angle ? between a vehicle longitudinal axis and a parking space longitudinal center axis, and a lateral offset of the vehicle with respect to the parking space longitudinal center axis, based on dimensions of the parking space and the lateral clearance.

Abstract: Methods, systems, and computer program products for determining transit routes through crowd-sourcing, for determining an estimated time of arrival (ETA) of a vehicle of the transit route at a given location, and for providing predictive reminders to a user for catching a vehicle of the transit route. A server receives signal source information about wireless signal sources detected by user devices, including information about a first wireless signal source detected by some devices. The server determines that the first wireless signal source is moving. The server determines that the first wireless signal source is associated with a public transit route upon determining that the signal source information satisfies one or more selection criteria. The server stores information associating the first wireless signal source with the public transit route as transit movement data corresponding to the public transit route.

Abstract: The determination device acquires a first distance information measured by a measurement unit and indicating a distance from a movable body to an object, and a second distance information estimated by an estimation unit and indicating the distance from the movable body to the object. Also, the determination device acquires own position accuracy information of the movable body. Then, the determination device determines presence or absence of deviation larger than a predetermined value between a position of the object in map information and the position of the object in real environment, based on a difference value of the distances indicated by the first distance information and the second distance information and the own position accuracy information.

Abstract: An optimization and recommendation engine can receive user location data to programmatically generate customized recommendations regarding the user's operation as a potential service provider for a network service. The optimization and recommendation engine can determine potential service routes based on the user location data indicating a frequent route of the user and on service data associated with the network service. The optimization and recommendation engine can also perform multivariate optimizations to select one or more optimal service routes from the potential service routes. The recommendations can include the one or more optimal service routes as well as parameters associated with such routes. The recommendations can further include a comparison of the parameters against characteristics of the user's frequent route.

Abstract: According to some embodiments of the invention, movement measurements may be obtained from a movement sensor (e.g., an accelerometer) of a mobile device in a vehicle. In addition, location measurements may be obtained from a location sensor (e.g., a GPS) of the mobile device in the vehicle. The movement measurements and the location measurements may be cross-referenced to each other to remove erroneous measurements, such as physically impossible measurements. The remaining measurements may be used to draw conclusions about the movements or locations, such as to identify a movement event (e.g., a braking event, an acceleration event, or the like).

Abstract: The present invention relates to a transport system with a fleet of self-driving vehicles for transporting persons and/or parcels within a delimited area, a self-driving vehicle for use within such a transport system and a control method of a transport system with a fleet of self-driving vehicles. In order to create a transport system that facilitates low-cost and individual mobility for persons and/or parcels in city traffic in particular, a vehicle control system is proposed according to the invention with an onboard unit associated with the individual vehicle and a central computer, which is connected to all vehicles of the fleet, wherein the vehicle dynamics of an individual vehicle are regulated by the onboard unit and the navigation as well as the integration of an individual vehicle into the traffic is controlled both by the onboard unit and by the central computer.

Abstract: A parking assist apparatus according to an embodiment includes a memory and a hardware processor coupled to the memory. The hardware processor: sets a first circumference being in contact with a first straight line extending in a traveling direction of a vehicle and passing through a position of the vehicle; sets a second circumference being in contact with a second straight line extending in an exit direction from a parking target area of the vehicle and passing through the parking target area; sets a third circumference obtained by shifting the second circumference along the second straight line until the second circumference comes in contact with the first circumference; acquires a guidance route including part of the first circumference as a route for moving the vehicle forward and part of the third circumference as a route for moving the vehicle backward; and guides the vehicle along the acquired guidance route.

Abstract: A location and mapping service is described that creates a global database of indoor navigation maps through crowd-sourcing and data fusion technologies. The navigation maps consist of a database of geo-referenced, uniquely described features in the multi-dimensional sensor space (e.g., including structural, RF, magnetic, image, acoustic, or other data) that are collected automatically as a tracked mobile device is moved through a building (e.g. a person with a mobile phone or a robot). The feature information can be used to create building models as one or more tracked devices traverse a building.

Abstract: A method for controlling a movable object includes obtaining an expected height of the movable object, obtaining a measured height of the movable object relative to a ground, and controlling a height of the movable object according to the expected height and the measured height.

Abstract: The present invention is for an autonomous aerial vehicle that enables near real-time computation of harvest yield data. Generally, the autonomous aerial vehicle receives combine harvest data from a harvesting vehicle, generates high-resolution yield data based on sensor suite that is on-board the autonomous vehicle, obtains edge compute data from an edge computing device at the edge of the network, and segments the received combine harvest data, the generated high-resolution yield data, and the obtained edge compute data. The aerial vehicle applies data normalization models to the segmented data and computes a normalized harvest yield for at least a portion a land tract. In this manner, the data delivery vehicles computes normalized data that otherwise can by noisy and unreliable.

Abstract: Aspects described herein provide a computer-implemented method and system of generating circular routes that start and end at the same geographical position, the route passing through a number of intermediate points along the way. The circular routes are generated in dependence on one or more route criterion, which may be pre-defined or input by the user. The route criterion may relate to a number of different route properties, for example, the length of time it takes to complete the route, the distance or area covered by the route, the direction the route takes, the type of terrain experienced during the route, whether the route passes through certain points more than once and/or whether the route passes any points of interest.

Abstract: A vehicle lane positioning system includes a sensor arrangement that is designed to determine lateral boundaries of a vehicle lane. A control unit is designed to calculate a vehicle travel path within the vehicle lane having a predetermined variation from a centered vehicle pathway. An actuator unit is designed to execute the vehicle travel path within the vehicle lane.

Abstract: A method is described for updating a digital map for vehicle navigation. The method includes a step of determining an adjustment signal for adjusting a detection range of an environment sensor of a vehicle to a section of an environment of the vehicle that corresponds to an area of the digital map to be updated, using an item of information about the area to be updated, and the method including a step of supplying area data for updating the digital map, the area data representing an image of the section of the environment detected by the environment sensor.

Abstract: A driving support apparatus for supporting the driving of a vehicle includes: a boundary estimation part for outputting magnetic waves or ultrasonic waves to the periphery of a vehicle, and for estimating the boundary of a roadway based on reflected waves which are detected by a sensor for detecting the reflected waves; a detection part for detecting a mobile body based on the reflected waves which are detected by the sensor; and a region estimation part for estimating a progress region of the object vehicle which is moving in an adjacent lane when this detection part detects the mobile body generated by multiplexed reflections from an object vehicle which is actually moving in the adjacent lane.

Abstract: Disclosed is an unmanned automated hook-fastening device including a device coupler, a propulsion unit, a transmitter, a receiver, hook pliers, and an unloading transmitter. The propulsion unit adjusts the position of the hoisting unit with respect to the object, on the basis of the position signal transmitted by the transmitter and received by the receiver, and adjusts the position of the hoisting unit coupled to the object, on the basis of the position signal transmitted by the unloading transmitter and received by the receiver. It is possible to easily track the position of a hook of the object to be hoisted, automatically fasten the hook pliers to the hook, and automatically fasten the hook to a crane without a monitoring system.