Abstract: Embodiments of the present invention disclose an unmanned aerial vehicle (UAV) control method and a terminal. The method includes: determining, by a terminal before the terminal is connected to any UAV, location information of at least one waypoint according to a first setting operation of a user, and determining a flight path according to the location information of the at least one waypoint; storing, by the terminal, the flight path into a path record of a path database; and invoking, by the terminal after the terminal establishes a connection to a UAV, a first path record associated with the UAV from the path database, and sending the first path record to the UAV, to control the UAV to fly according to information in the first path record. The embodiments of the present invention can improve efficiency of a UAV in obtaining a flight path, and reduce power consumption of the UAV when no flight course task is executed.

Abstract: A state detection sensor includes a housing and a position sensing component mounted in the housing. The position sensing component is being configured to provide position data in response to detecting the presence or position of vehicle structure relative to the sensor. The state detection sensor also includes an analog input component mounted in the housing. The analog input component is configured to provide external analog sensor data in response to an analog signal received from an external analog sensor to which the analog input component can be operatively connected. The state detection sensor further includes a component configured to communicate the position data and the external analog sensor data via a serial bus.

Abstract: A method for controlling the braking operation of a motor vehicle including at least one electric drive machine, which is switchable into a generator mode effectuating a deceleration of the motor vehicle, as well as a friction braking device having multiple friction brakes, each assigned to a wheel, having brake elements, which are movable toward a brake disc via an actuator. A first braking is performed using the drive machine switched into the generator mode until a first threshold value of the regenerative power or deceleration is reached, after which additionally required braking power is provided by the friction braking device, which is also actuated upon reaching the threshold value.

Abstract: A control command is provided to a vehicle control module that identifies one or more vehicle actions to be performed by the vehicle control module to control a position of an autonomous vehicle (AV) with respect to an external environment. Whether one or more conditions pertaining to the position of the AV with respect to the external environment are satisfied is determined. Responsive to determining that the one or more conditions pertaining to the position of the AV with respect to the external environment are satisfied, a first instruction is provide to the vehicle control module that permits the vehicle control module to deviate from the one or more vehicle actions identified in the control command and to perform an energy saving action with respect to the AV.

Abstract: Disclosed is a method for controlling the speed of a vehicle, the method comprising: determining a speed limit; determining an offset value based on (i) the speed limit, and (ii) a speed map, the speed map comprising a plurality of entries, each entry associating one of the offset values with a respective speed limit; and setting the speed of the vehicle according to the speed limit and the determined offset value.

Abstract: A distance sensor according to an embodiment of the present disclosure includes: a controller that instructs a light source section to emit a first light pulse; a light receiver that includes a photodiode which causes a signal charge to be generated by receiving a first reflected light pulse corresponding to the first light pulse, and generates a light reception signal by storing the signal charge and converting the signal charge into a voltage; a signal change detector that performs a first detection operation of detecting a first signal change corresponding to the first reflected light pulse in the light reception signal; and a time measurement section that performs, on a basis of the first signal change, a first measurement operation of measuring a first time interval from an emission timing of the first light pulse in the light source section to a reception timing of the first reflected light pulse in the light receiver.

Abstract: The disclosed embodiments are directed to detecting persons or animals trapped in vehicles and providing automated assistance to such persons or animals. In one embodiment a method is disclosed comprising detecting that a vehicle is stopped; activating at least one camera and recording at least one image of an interior of the vehicle using the at least one camera; classifying the at least one image using a machine learning model; and operating at least one subsystem of the vehicle in response to detecting that classifying indicates that a person or animal is present in the at least one image.

Abstract: Systems, methods and apparatuses of lidar sensors of autonomous vehicles. A lidar sensor can include: a memory configured to store a lidar image and an Artificial Neural Network (ANN); an inference engine configured to use the (ANN) to analyze the lidar image and generate inference results; and a communication interface coupled to a computer system of a vehicle to implement an advanced driver assistance system to operate the controls according to the inference results and a sensor data stream generated by sensors configured on the vehicle.

Abstract: A driving assistance apparatus configured to support a driving of a vehicle at a time of pulling out of the vehicle, the driving assistance apparatus including: a control section configured to determine a movement path from a parking space to a predetermined position of a road region, and run the vehicle along the movement path on a basis of surroundings information of the vehicle when pulling out the vehicle from the parking space to the road region, wherein the control section leaves an accelerator operation for the vehicle to a user while automatically controlling a steering operation for the vehicle at least in a section in the movement path, and switches from an automated driving mode to a manual driving mode in response to the steering operation that is performed by the user when the vehicle travels in the section.

Abstract: Techniques for controlling an autonomous vehicle with a processor that controls operation, includes operating a Doppler LIDAR system to collect point cloud data that indicates for each point at least four dimensions including an inclination angle, an azimuthal angle, a range, and relative speed between the point and the LIDAR system. A value of a property of an object in the point cloud is determined based on only three or fewer of the at least four dimensions. In some of embodiments, determining the value of the property of the object includes isolating multiple points in the point cloud data which have high value Doppler components. A moving object within the plurality of points is determined based on a cluster by azimuth and Doppler component values.

Abstract: A method for determining residue coverage within a field after a harvesting operation may include receiving yield data associated with an estimated crop yield across a field and generating an estimated residue coverage map for the field based at least in part on the yield data. The method may further include receiving residue data associated with residue coverage across a surface of the field following the performance of a harvesting operation within the field. Additionally, the method may include generating an updated residue coverage map for the field based at least in part on the estimated residue coverage map and the residue data.

Abstract: Agricultural electronics include many components. The components can be connected via an electronic link that connects the various components to components of an agricultural implement. This can include the use of a component type identifier and a master module. The identifier and the module can communicate data, including identification data and instructional data, to easily acknowledge and operate various electrical components of the agricultural implement. Additional sensors can be included to provide even additional data that is communicated between the module and the components of the agricultural implement to aid in providing instructions for operation and to provide additional data information.

Abstract: A system having components coupled to an aircraft in operation processes sensor-derived data, performs a localization cross-checking procedure, and dynamically generates updated analyses of the position and orientation of the aircraft. Based on the updated analyses, the system can generate instructions for flight control of the aircraft and can update flight control instructions as new data is received and processed. The system functions to reduce the “worst-case” bounds on a localization estimate for the aircraft to a low enough level that is appropriate for completing a flight operation.

Abstract: A method of lidar imaging pulses a scene with laser pulse sequences from a laser light source. Reflected light from the scene is measured for each laser pulse to form a sequence of time resolved light signals. Adjoining time bins in the time resolved light signals are combined to form super time bins. A three dimensional image of the scene is created from distances determined based on maximum intensity super time bins. One or more objects are located within the image. For each object, the time resolved light signals are combined to form a single object time resolved light signal from which to determine distance to the object.

Abstract: A computer system can receive requests for transport from computing devices of users while the users ride a transit vehicle. The system can determine a rate of travel of the transit vehicle based on location data received from the computing device of a user riding the transit vehicle. Based at least in part on the rate of travel of the transit vehicle, the system can determine a first estimated time of arrival (ETA) of the user to the start location. The system can further receive location data from computing devices associated with available vehicles within a proximity of a start location of the user, and select one of vehicles to service the request when the ETA of the vehicle is within a threshold amount of time of the first ETA.

Abstract: According to one implementation of the present disclosure, a method for formation flight is disclosed. The method includes: during flight, arranging for a first aircraft to fly into a proximity range of a second aircraft; and determining first aircraft positioning based on power consumption data of the first aircraft, where the first aircraft positioning corresponds to power-reducing formation flight of the first aircraft.

Abstract: A system and method for emergency manual flight direction to a non-pilot enables the non-pilot an ability to safely land an aircraft after an event causing a single pilot of the aircraft to become unable to perform pilot tasks. The emergency flight director (EFD) receives inputs from a plurality of sources and displays information, maneuver, configuration and communication commands to the non-pilot on a flight deck display. Inputs to the system include aircraft state data as well as airport and current weather information associated with each available airport. The EFD determines an appropriate emergency landing runway and presents simplified commands coupled with animated aircraft specific graphics to the non-pilot to manually fly the aircraft to a safe landing.

Abstract: The disclosure is generally directed to systems and methods for facilitating travel over a last leg of a journey. In one example embodiment, an unmanned aerial vehicle (UAV) captures an image of an area to be traversed by an individual during the final leg of the journey. The image is evaluated to identify a hindrance that may be encountered by the individual in the area. A pre-emptive action may be taken to address the hindrance before reaching the area. The pre-emptive action, may, for example, include using the UAV and/or a terrestrial robot to assist the individual traverse the area. The assistance may be provided in various ways such as by use of the terrestrial robot to transport the individual and/or a personal item of the individual through the area, and/or by use of the UAV to provide instructions to guide the individual through the area.

Abstract: A system, method, node, and computer program for determining a flight start policy to be applied to an unmanned aerial vehicle, UAV, (10) is described. The UAV (10) is associated with a first UAV-Application Server, UAV-AS (100) maintaining a flight policy applicable for the geographical service area (150) where the UAV (10) is located. The method comprising the first UAV-AS (100) determining whether the UAV (10) is going to leave the geographical service area (150) towards a second geographical service area (150), wherein the second geographical service area (150) is associated with a second UAV-AS (130). If so querying by the first UAV-AS (100) a flight policy applicable for the second geographical service area (150) from the second UAV-AS (130), and instructing a received flight policy applicable for the second geographical service to the UAV (10), before the UAV (10) has entered the second geographical service area (150).

Abstract: Various embodiments for controlling a state of an autonomous vehicle that is to meet a user are provided. A receiver receives location information indicating a current location of the user. A memory stores a plurality of states of the autonomous vehicle. Each of the states at least one of visually or audibly distinguishes the autonomous vehicle. A sensor senses an environment of the autonomous vehicle to obtain environment information. A distance from a place of meeting the user to the current location of the user is calculated based on the location information. A first state is selected in accordance with the environment information. The autonomous vehicle is caused to change from a second state to the first state when the distance from the place of meeting the user to the current location of the user becomes smaller than or equal to a predetermined distance.