Abstract: An unmanned aerial vehicle access method being used for a base station includes: receiving a random access request sent by an unmanned aerial vehicle, the random access request including a random access preamble; when it is determined to respond to the random access request of the unmanned aerial vehicle, sending a random access initial response to the unmanned aerial vehicle; receiving a first message sent by the unmanned aerial vehicle, the first message including terminal indication information, the terminal indication information being used for indicating that a terminal, which requests to access, is the unmanned aerial vehicle; and when it is determined to allow the access of the unmanned aerial vehicle, sending, to the unmanned aerial vehicle, a second message for indicating that access is allowed.

Abstract: Systems and methods are disclosed for periodic real-time reporting of in-flight turbulence experienced by aircraft using the existing Automatic Dependent Surveillance-Broadcast (ADS-B) messaging system. The invention includes both broadcast to and reception from other aircraft and ground stations using the ADS-B system. Systems and methods for displaying the received turbulence reports on a cockpit display system are also disclosed. The disclosed systems and methods accomplish the objectives of the invention on a non-interference basis with existing ADS-B system functionality by utilizing currently reserved message types and/or unused data fields for the turbulence reporting. The invention is applicable to both 1090ES and 978 UAT ADS-B systems.

Abstract: In one embodiment, a set of LIDAR images representing LIDAR point cloud data captured by a LIDAR device of an ADV at different points in time is received. For each of the LIDAR images, a perception method is utilized to determine a location of an obstacle captured in the LIDAR image in a local coordinate system. The LIDAR image is transformed using a coordinate converter (e.g., a LIDAR to GPS coordinate conversion logic or function) from the local coordinate system to a global coordinate system. The coordinate converter is optimized based on the transformed LIDAR images by adjusting one or more parameters of the coordinate converter and the above operations are iteratively performed to obtain a set of optimal parameters. The optimized coordinate converter can then be utilized to process subsequent LIDAR images during autonomous driving at real-time.

Abstract: To provide a docking support device of a marine vessel, which is capable of improving the accuracy in the distance measurement of a docking object, and can determine whether docking at the docking object is achievable or not, by detecting an obstacle which lies in the surrounding area of an own marine vessel. A docking support device of a marine vessel includes a LiDAR with the use of a laser, a short range body detection sensor, a docking object detector detecting a docking object based on an output signal of the LiDAR, an obstacle detector detecting an obstacle based on an output signal of the short range body detection sensor, and a docking determination calculator determining whether docking at the docking object is achievable or not, based on a determination result of the docking object and a detection result of the obstacle, and outputs a determination result.

Abstract: The present disclosure discloses a vehicle diagnosis method including: sending a login request of a user to a server; returning vehicle type selection data after the server has verified an authenticity of the user successfully; displaying a vehicle type selection interface related to the vehicle type selection data and sending a corresponding vehicle type data to the server based on a vehicle type selected by the user on the vehicle type selection interface via the user equipment; sending corresponding vehicle type data to the server; returning a vehicle diagnosis interface related to the vehicle type data by the server; controlling relevant vehicle terminal to perform corresponding vehicle diagnosis operation by the server when the server receives a vehicle diagnosis instruction as input by the user on the vehicle diagnosis interface; afterwards, displaying vehicle diagnosis operation result fed back by the vehicle terminal through the user equipment.

Abstract: A vehicle non-use state recognition unit recognizes that an electric vehicle 1 is in non-use state. A battery remaining amount recognition unit recognizes a remaining amount of a battery loaded into the electric vehicle. A battery maintenance request unit transmits, when the vehicle non-use state recognition unit recognizes that the electric vehicle is in non-use state, remaining amount recovery request information for requesting to recover the remaining amount of the battery to a maintenance server which receives a maintenance of the battery when the battery remaining amount recognition unit recognizes that the remaining amount of the battery is a first predetermined value or less.

Abstract: Systems, methods and apparatus to collect sensor data generated in an autonomous vehicle. Sensors of the vehicle generate a sensor data stream that is buffered, in parallel and in a cyclic way, in a first cyclic buffer and a larger second cyclic buffer respectively. An advanced driver assistance system of the vehicle generates an accident signal when detecting or predicting an accident and provides a training signal when detecting a fault in object detection, recognition, identification or classification. The accident signal causes a sensor data stream segment to be copied from the first cyclic buffer into a slot of a non-volatile memory, selected from a plurality of slots in a round robin way. The training signal causes a sensor data stream segment to be copied from the second cyclic buffer into an area of the non-volatile memory outside of the slots reserved for the first cyclic buffer.

Abstract: Systems and methods are disclosed for monitoring operations of an autonomous vehicle. For instance, a monitoring device receives sub-system data from one or more sub-systems of the autonomous vehicle. The device receives contextual data of the vehicle that comprises one or more situational circumstances of the vehicle during operation. The device receives control data from a control system of the vehicle and analyzes the sub-system data, the contextual data, and the control data to determine a control result. The device provides an assessment to a management system of the overall control status of the vehicle.

Abstract: Systems, methods, and computer program products for autonomous car-like ground vehicle guidance and trajectory tracking control. A multi-loop 3DOF trajectory linearization controller provides guidance to a vehicle having nonlinear rigid-body dynamics with nonlinear tire traction force, nonlinear drag forces and actuator dynamics. The controller may be based on a closed-loop PD-eigenvalue assignment and a singular perturbation (time-scale separation) theory for exponential stability, and controls the longitudinal velocity and steering angle simultaneously to follow a feasible guidance trajectory. A line-of-sight based pure-pursuit guidance controller may generate a 3DOF spatial trajectory that is provided to the 3DOF controller to enable target pursuit and path-following/trajectory-tracking. The resulting combination may provide a 3DOF motion control system with integrated simultaneous steering and speed control for automobile and car-like mobile robot target pursuit and trajectory-tracking.

Abstract: One or more autonomous street sweeper vehicles can perform a variety of sweeping functions, such as sweeping, vacuuming, blowing, and scraping. Each autonomous street sweeper vehicle can be designed to follow routes and can comprise an autonomous vehicle that includes a drive by wire kit, a database storing the routes, a detection mechanism, and a control system that controls the vehicle to follow the routes while maintaining serviceable distances to the curb. In a convoy of multiple autonomous street sweeper vehicles, the vehicles in the convoy can communicate with each other, and each of the autonomous street sweeper vehicles can perform a different function. In some examples, a speed of the vehicle and/or settings of the cleaning equipment can be adjusted, for example, based on road hazards or amount of debris.

Abstract: A controller can include an electronic processor unit configured to control the driving direction of a vehicle within a lane based on a first trajectory. The controller can be operable to receive a user input for directing the vehicle along a second trajectory that is different from the first trajectory, determine third trajectory data by at least comparing data associated with the first trajectory to data associated with the second trajectory, and output a control signal for controlling, using the electronic processor unit, the driving direction of the vehicle. The control signal can be based at least on the third trajectory data.

Abstract: A path tracking method is provided. The path tracking method includes obtaining a current location and a current traveling direction of the mobile vehicle, and determining a traveling path along which the mobile vehicle travels to a destination based on the current location and the current traveling direction; simplifying the mobile vehicle into a differential model, establishing a forward objective function of the differential model in the traveling path, and obtaining an optimal solution of the forward objective function; and controlling a speed of the mobile vehicle corresponding to the differential model by using the optimal solution as an optimal differential control variable, until the mobile vehicle reaches the destination. The path tracking method is simple in calculation, adopts algorithms that is naturally stable, and is used in combination with integrated navigation, thereby ensuring stability and reliability of tracking.

Abstract: A navigation device may include a GNSS data editing part, an attitude angle calculating part, and a speed calculating part. The GNSS data editing part may generate GNSS attitude angle estimation data and GNSS speed estimation data by using first GNSS data based on a GNSS signal received by a first antenna, and second GNSS data obtained at a shorter cycle than the first GNSS data based on a GNSS signal received by a second antenna. The attitude angle calculating part may estimate an integrated attitude angle based on the IMU angular velocity outputted from an Inertial Measurement Unit (IMU) and the GNSS attitude angle estimation data. The speed calculating part may estimate an integrated speed based on an IMU acceleration outputted from the IMU, the GNSS speed estimation data, and the integrated attitude angle.

Abstract: System and method for training a machine learning model are disclosed. In one embodiment, for each of the driving scenarios, responsive to sensor data from one or more sensors of a vehicle and the driving scenario, driving statistics and environment data of the vehicle are collected while the vehicle is driven by a human driver in accordance with the driving scenario. Upon completion of the driving scenario, the driver is requested to select a label for the completed driving scenario and the selected label is stored responsive to the driver selection. Features are extracted from the driving statistics and the environment data based on predetermined criteria. The extracted features include some of the driving statistics and some of the environment data collected at the different points in time during the driving scenario.

Abstract: A vehicle control apparatus includes a determination processor and a regeneration controller. During traveling in a first travel mode, the determination processor determines a timing at which a regenerative braking force based on a motor regenerative force is to be increased under the condition that an accelerator-off operation period is equal to or less than a predetermined period. During traveling in a second travel mode, the determination processor refrains from determining the timing at which the regenerative braking force is to be increased under the sole condition that the accelerator-off operation period is equal to or less than the predetermined period. The regeneration controller performs control that increases the motor regenerative force as the determination processor determines the timing at which the regenerative braking force is to be increased.

Abstract: There is provided a flight management system for managing a flight plan of flying objects that fly among ports.

Abstract: The present invention relates to an automatic working system, including a self-moving device and a positioning device. The self-moving device includes a movement module, a task execution module. The positioning device is configured to detect a current position of the self-moving device. The automatic working system includes: a storage unit, configured to store a working area map, and: a map confirmation procedure, which including: providing a drive circuit instruction to move along a working area boundary, and receiving a confirmation signal from a user to complete the map confirmation procedure; and a working procedure including providing a drive circuit instruction to move within a working area defined by the map and execute the working task; and a control module, configured to monitor an output of the positioning device to execute the map confirmation procedure and execute the working procedure after the map confirmation procedure is completed.

Abstract: A system for carrying a load at a controlled temperature includes a drone structure having a motor that handles the drone structure, an energy unit that delivers electric energy, and a control unit. The drone structure also includes a thermal container having an insulating casing with at least one layer of heat-insulating material, an inner temperature sensor that measures a value of temperature Tint internal to the insulating casing, an outer temperature sensor configured to measure a value of temperature Text external to the insulating casing, and a thermal unit arranged to adjust or keep constant the value of temperature Tint. The control unit is adapted to carry out an acquisition of a flight mission comprising a landing position of the drone structure, a time limit tmax to reach the landing position and a condition on the values of the temperature Tint to keep during the flight mission.

Abstract: Zone-based unmanned aerial vehicle landing systems and methods are provided herein. An example method includes establishing a plurality of operational zones, each of the plurality of operational zones being associated with a range of altitudes, guiding an unmanned aerial vehicle (UAV) through each of a plurality of operational zones to land the UAV on a target location using sensors, wherein the sensors are configured to sense a distance between the UAV to the target location, further wherein portions of the sensors are configured for use at different altitudes, and determining an error for the UAV during landing, wherein the UAV retreats to a higher altitude operational zone when the error is determined.

Abstract: Systems, methods, and devices of the various embodiments may enable the detection and localization of power line corona discharges and/or electrical arcs by an unmanned aerial vehicle (UAV) including an ultraviolet (UV) sensor and a reflective parabolic dish. In various embodiments, the UV sensor may use the photoelectric effect to sense narrow-band UV photons in a Geiger-Mueller tube and circuit configuration. In various embodiments, the reflective parabolic dish may be fixed relative to the UV sensor and include a reflective concave surface. The reflective concave surface may be configured to reflect narrow-band UV photons toward the UV sensor.