Abstract: A network computer system operates to estimate a quantity of service vehicles operating in a geographic region during a future time interval. For the future time interval, the network computer system determines a current forecast of a provisioning level for a service provided by the projected quantity of service vehicles in each of multiple subregions of the geographic region. The network computer system also determines a location bias for one or more service providers, each operating a corresponding vehicle within the given geographic region. Additionally, the network computer system matches each service provider to a service request based on (i) the location bias of the service provider, (ii) a service location of the service request, and (iii) a determination as to an effect of matching the service provider on the current forecast for the provisioning level.

Abstract: A motor vehicle has a control device, a first sensor and a global positioning device. The control device has a control unit and a data memory. At least one item of information about an arrangement of an overhead line is stored on the data memory. The control unit is connected to the first sensor and to the global positioning device. The first sensor determines a position of the overhead line relative to the motor vehicle and provides the control unit with the relative position. The global positioning device determines a global position of the motor vehicle and provides the control unit with it. The control unit, on the basis of the established relative position, the established global position and the information about the arrangement of the overhead line, calculates a position of the motor vehicle.

Abstract: Among other things, information is received that identifies or defines a function-related feature of an environment of a vehicle. Function-related information is generated that corresponds to the function-related feature.

Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

Abstract: Method and apparatus are disclosed for monitoring a vehicle power supply system having a primary and a secondary power source. An example vehicle includes a primary power source, a secondary power source comprising a low voltage battery, and a processor. The processor is configured for reducing an output of the primary power source, determining an operational characteristic of the low voltage battery while the output of the primary power source is reduced, and providing an alert based on the operational characteristic.

Abstract: A virtual pointer object is displayed within a virtualized environment corresponding to a physical environment currently surrounding a robot. The virtualized environment is generated and updated in accordance with streaming environment data received from sensors collocated with the robot. First user input is detected via a haptic-enabled input device that causes the virtual pointer object to move along a movement path in the virtualized environment, where the movement path is constrained by simulated surfaces in the virtualized environment. Haptic feedback is generated via the haptic-enabled input device in accordance with simulated material and/or structural characteristics of the movement path. The virtualized environment is modified at the locations of marking inputs along the movement path and affects path planning for the robot within the first physical environment.

Abstract: Systems, methods, and apparatuses are disclosed for providing routing and navigational information to users (e.g., visually handicapped users). Example methods may include determining, by one or more computer processors coupled to at least one memory, a first location of a user device and an orientation of a user device, and generating a first route based on the first location, the first orientation, and a destination location. Further, the method may include determining one or more obstacles on the first route using data corresponding to visual information and one or more artificial intelligence techniques; and generating a second route based on the one or more obstacles detected on the first route.

Abstract: Techniques for assisting a passenger to identify a vehicle and for assisting a vehicle to identify a passenger are discussed herein. Also discussed herein are techniques for capturing data via sensors on a vehicle or user device and for presenting such data in various formats. For example, in the context of a ride hailing service using autonomous vehicles, the techniques discussed herein can be used to identify a passenger of the autonomous vehicle at the start of a trip, and can be used to assist a passenger to identify an autonomous vehicle that has been dispatched for that particular passenger. Additionally, data captured by sensors of the vehicle and/or by sensors of a user device can be used to initiate a ride, determine a pickup location, orient a user within an environment, and/or provide visualizations or augmented reality elements to provide information and/or enrich a user experience.

Abstract: In one embodiment, a sensor unit to be utilized in an autonomous driving vehicle (ADV) includes a sensor interface coupled to a number of sensors mounted on a number of locations of an autonomous driving vehicle (ADV). The sensor unit includes a host interface to be coupled to a host system, where the host system is configured to perceive a driving environment surrounding the ADV based on sensor data obtained from the sensors and to plan a path to autonomously drive the ADV. The sensor unit includes a time synchronization hub device coupled to the sensor interface. The time synchronization hub device includes one or more TX and/or RX timestamp generators coupled to a time source, where the TX/RX timestamp generators generate TX/RX timestamps based on a time obtained from the time source to provide the TX/RX timestamps to one or more of the sensors.

Abstract: A network system for controlling a vehicle speed includes a server, a satellite, and a control device for monitoring and modifying a speed of the vehicle. The server receives information relating to at least one travel condition, calculates a target speed based on the at least one travel condition, and transmits one or more commands indicative of the target speed. The satellite is communicatively coupled to the server and receives the command(s) indicative of the target speed. The control device includes a speed sensor generating a signal indicative of a sensed vehicle speed, a receiver communicatively coupled to the satellite and receiving the command(s) indicative of the target speed, and a controller. The controller calculates a difference between the target speed and the sensed vehicle speed, and modifies operation of a prime mover and/or traction elements to cause the sensed vehicle speed to match the target speed.

Abstract: A parking control method includes acquiring an operation command from an operator outside a vehicle, detecting the position of an operation terminal, detecting the position of an obstacle, calculating a first area observable from the operator and a second area other than the first area and unobservable from the operator on the basis of the positional relationship between the position of the obstacle and the position of the operator, calculating a parking route and a control instruction for moving along the parking route such that a first proximity level of the vehicle to the obstacle in the first area is higher than a second proximity level of the vehicle to the obstacle in the second area, and parking the vehicle in accordance with the control instruction.

Abstract: An automatic traveling work vehicle includes position calculation circuitry, actual work command generation circuitry, work control circuitry, virtual work command generation circuitry, and monitoring circuitry. The actual work command generation circuitry is configured to generate an actual work command in accordance with a position of the automatic traveling work vehicle. The work control circuitry is configured to control the automatic traveling work vehicle to work at the position according to the actual work command. The virtual work command generation circuitry is configured to generate a virtual work command in accordance with the position of the automatic traveling work vehicle, the automatic traveling work vehicle being not actually controlled according to the virtual work command. The monitoring circuitry is configured to determine whether an abnormality occurs in an operation of the automatic traveling work vehicle based on the actual work command and the virtual work command.

Abstract: A method of localization for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform by one or more autonomous vehicle driving modules execution of processing of images from a camera and data from a LiDAR using the following steps comprising: voxelizing a 3D submap and a global map into voxels; estimating distribution of 3D points within the voxels, using a probabilistic model; extracting features from the 3D submap and the global map; and classifying the extracted features into classes.

Abstract: A control circuitry includes a first filter configured to generate a filtered velocity based on a component of a vertical velocity of an aircraft. The pitch trim prediction circuitry also includes a second filter configured to generate a filtered pitch attitude based on a measured pitch attitude of the aircraft. The pitch trim prediction circuitry further includes output circuitry configured to generate a predicted pitch attitude trim value for a target vertical state based on a horizontal velocity of the aircraft, the filtered velocity, and the filtered pitch attitude. The predicted pitch attitude trim value is configured to cause a flight control effector to be adjusted.

Abstract: Systems and methods are provided for enabling communication, without breaching the engine firewall, between a datalogger located on one side of the firewall and one or more sensor devices that are located on the opposite side of the firewall. The systems and methods described herein can allow a transmitting node (i.e., a transmitting datalogger) to transmit collected data (from an auxiliary sensor) to a receiving node (i.e., a receiving datalogger) while reducing or minimizing various difficulties associated with addition of an auxiliary sensor in the engine environment. The transmission of data from the transmitting node to the receiving node can correspond to wired data communication or wireless data communication.

Abstract: Various methods for monitoring a target user by a drone include tracking the target user by the drone, detecting an object in the presence of the target user based on one or more detection criteria, determining whether the object is a potential threat to the target user based on one or more threat criteria, determining whether to notify the third party of the potential threat to the target user based on one or more notification criteria in response to determining that the object is a potential threat, notifying the third party of the potential threat to the target user in response to determining that the third party should be notified, receiving a response from the third party including a command, and performing an action based on the command.

Abstract: A vehicle, which adjusts a collision warning time based on driver's field of view and visibility of the object, is provided. The vehicle includes: a distance sensor that collects data of an object, a camera that collects image data, a driver recognition sensor that collects driver's facial data, and a controller that analyzes driver's gaze and field of view using the driver's facial data, analyzes visibility of the object using the image data, and calculates a collision warning time based on a result of analyzing the driver's gaze and field of view and the visibility of the object, and an alarm device that informs the driver of the risk of collision at the collision warning time under the control of the controller.

Abstract: Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computing software, including autonomy applications, image processing applications, etc., computing systems, and wired and wireless network communications to facilitate autonomous control of vehicles, and, more specifically, to systems, devices, and methods configured to control driverless vehicles to facilitate complex parking maneuvers and autonomous fuel replenishment. In some examples, a method may include computing vehicular drive parameters, accessing map data to identify a boundary, detecting an autonomous vehicle, accessing executable instructions to facilitate vectoring of an autonomous vehicle, and applying vehicular drive parameters to propel the autonomous vehicle to a termination point.

Abstract: A first vehicle velocity target is determined based on a velocity of a proximate second vehicle and at least one of a curvature of a road, a gradient of the road, a bank angle of the road, visibility, and a coefficient of friction on a surface of the road.

Abstract: A shovel includes a lower traveling body, an upper rotating body, an attachment including a boom and an arm, a controller, an engine, and a hydraulic pump that is driven by the engine and discharges hydraulic oil to drive the attachment. The controller is configured to obtain a hydraulic load applied to the attachment and calculate an engine speed command at predetermined time intervals based on the obtained hydraulic load.