Abstract: The autonomous landing method of a UAV includes: obtaining a point cloud distribution map of a planned landing region; determining a detection region in the point cloud distribution map according to an actual landing region of the UAV in the point cloud distribution map; dividing the detection region into at least two designated regions, each of the at least two designated regions corresponding to a part of the planned landing region; determining whether a quantity of point clouds in each of the at least two designated regions is less than a preset threshold; and if a quantity of point clouds in a designated region is less than the preset threshold, controlling the UAV to fly away from the designated region of which the quantity of point clouds is less than the preset threshold, or controlling the UAV to stop landing.

Abstract: Systems and methods are provided for dynamically protecting transportable articles in vehicles. A system for dynamically protecting a transportable article in a vehicle may include one or more processors and non-volatile memory storing instructions. The instructions, when executed by the one or more processors, cause the system to determine at least one of a characteristic or a trait of the transportable article; detect, based on sensed data, an emergency condition; select one or more article protection components based on (i) the at least one of the characteristic or the trait of the transportable article, and (ii) the detected emergency condition; and in response to detecting the emergency condition, deploy the selected one or more article protection components to protect the transportable article.

Abstract: A system and method are disclosed for monitoring rides in a vehicle in which a driver of the vehicle picks up a rider at a pickup location and drives the rider to a drop-off destination. The system includes at least one sensor arranged in the vehicle and configured to capture sensor data during the rides, a transceiver configured to communicate with a remote server, a non-volatile memory configured to store data; and a processor. The system captures sensor data during each ride, stores the sensor data captured during each ride, receives a ride identifier from the personal electronic device that uniquely identifies the ride, and uploads the sensor data of a particular ride to the remote server in response to one of a limited set of a triggering events occurring.

Abstract: A transportation vehicle navigation method with a navigation system of a transportation vehicle for determining at least one route and navigation based on the determined route according to a position of the transportation vehicle. The method includes detecting at least one environmental characteristic of the transportation vehicle, specific for at least one emission of the transportation vehicle, by at least one sensor of the transportation vehicle to determine a detection result; performing an evaluation of the detection result to determine an evaluation result; and adapting the determined route during the navigation based on the evaluation result.

Abstract: An example operation includes one or more of operating, by a transport, within a boundary and determining, by the transport, that the operating of the transport within the boundary is desired to be exceeded. In response to a consensus based on one or more operations of the transport and one or more occupant characteristics of the transport, the method includes operating, by the transport, within the exceeded boundary.

Abstract: Aspects of the disclosure relate to evaluating pullovers for autonomous vehicles. In one instance, a set of potential pullover locations within a predetermined distance of a destination may be identified. Whether any of the potential pullover locations of the set include one or more of a plurality of predetermined types of regions of interest where a vehicle should not park for an extended period of time may be determined. A pullover location is identified based on the determination. The identified pullover location may be compared to a pullover location identified by autonomous vehicle control software in order to evaluate the pullover location identified by the autonomous vehicle control software.

Abstract: A driving assist apparatus for a manual transmission vehicle includes a traveling environment information acquisition unit, a power transmission detector and a controller. The traveling environment information acquisition unit is configured to acquire traveling environment information ahead of the vehicle. The power transmission detector is configured to detect engagement or disengagement of power transmission between a drive source and a drive wheel. The controller is configured to, when recognizing a target object ahead of the vehicle based on the traveling environment information acquired by the traveling environment information acquisition unit, control a vehicle speed of the vehicle in accordance with a distance between the vehicle and the target object.

Abstract: Methods, apparatus, and articles of manufacture to generate acquisition paths are disclosed. An example apparatus includes input interface circuitry to obtain input data associated with a vehicle, threshold calculation circuitry to calculate, based on the input data, a threshold curvature and a threshold curvature rate of the vehicle, and acquisition path generation circuitry to select a point on a target path of the vehicle, generate an acquisition path from a current position of the vehicle to the point, the acquisition path including at least two curves, and cause storage of the acquisition path in response to the at least two curves satisfying the threshold curvature and the threshold curvature rate.

Abstract: An agricultural machine includes one or more tires, a detector to detect a low pressure state in which a pressure of one of the tires is lower than a reference range or a high pressure state in which the tire pressure is higher than the reference range, and a controller to control an operation of at least one of the agricultural machine and an additional agricultural machine to be linked to the agricultural machine. One of the agricultural machine and the additional agricultural machine is a work vehicle that is capable of self-driving, and the other one is an implement to be linked to the work vehicle. The controller causes, in response to detection of the low or high pressure state, at least one of the agricultural machines to perform a specific operation that is different from an operation to be performed when the pressure is in the reference range.

Abstract: Systems and methods for autonomous taxi route planning for an aircraft. Clearance communication is received from a ground control station. A planning problem is generated from the clearance communication and sent to a route planner. The route planner receives the planning problem and plans an executable taxi route. Planning the executable taxi route can include generating a complete breadth first search graph from a start pose to a destination, pruning the graph, minimizing the graph, refining the graph, and extracting the shortest path from the graph.

Abstract: A policy map is obtained that includes a first set of machine settings values for controlling a machine to perform an operation at a site, at different locations in the field. An adjustment component receives sensor signals indicating conditions that will be encountered by the machine in the future, as it moves through the site. A cost determination component determines whether an adjustment is to be made to the first set of settings values, based upon the sensor signals. A predictive vehicle model provides an expected vehicle response, based upon the adjusted settings values that are selected. Control signals are generated based upon adjusted setting values that are generated from the policy map, the expected vehicle response, and the future condition sensor signals. The control signal generator generates the control signals to control a set of controllable subsystems.

Abstract: A pay television satellite broadcast includes validation data that can be used to validate authenticity of live global positioning system (GPS) data. The validation data may be included within entitlement messages and encrypted for security and selective reception by authorized receivers. A navigation system may compute checksums of received live GPS data and compare with the validation data for a match. A decision about whether or not to use the live GPS data may be taken based on whether or not the computed checksums match the validation data received via the pay television satellite broadcast signals.

Abstract: A method for automating an agricultural work task includes specifying one or more site-specific target values or weighting factors with respect to process-related or agronomic quality criteria via an interface module according to which the work task is to be executed by the soil cultivation implement. The method includes converting the target values or weighting factors in an optimization module into process control variables representing working or operating parameters of the soil cultivation implement, and adjusting the process control variables in a stabilization module by activating positioning or operating units of the soil cultivation implement or the agricultural tractor. In the converting step, feedback data is included with respect to a status of a field surface before or after the cultivation by the implement and with respect to an operating status of the implement or the tractor in order to modify the process control variables.

Abstract: A controller 20 mounted on a hydraulic excavator 1 that is able to perform machine control transmits work situation parameters (machine body position, hydraulic working fluid temperature, bucket weight, and target surface gradient) to a management server 71, receives, from the management server, control command correction values that are calculated by the management server on the basis of the work situation parameters and that represent correction values for correcting control commands, and controls hydraulic actuators 5, 6, and 7 with corrected control commands that represent the control commands corrected on the basis of the control command correction values.

Abstract: A method of area coverage planning with replenishment planning includes receiving information of a boundary of the work area, location information of one or more refill stations, and information of a current amount of the material left in the autonomous vehicle, laying a plurality of tracks within the boundary of the work area so as to minimize a total distance of the plurality of tracks, generating a coverage trajectory, and based on (i) the coverage trajectory, (ii) the location information of the one or more refill stations, (iii) the current amount of the material left in the autonomous vehicle, and (iv) a nominal full amount and a nominal consumption rate of the material by the autonomous vehicle, determining one or more logistic points along the coverage trajectory at which a remaining amount of the material reaches a threshold, for each logistic point, generating a replenishment trajectory.

Abstract: An autonomous vehicle that is equipped with image capture devices can use information gathered from the image capture devices to plan a future three-dimensional (3D) trajectory through a physical environment. To this end, a technique is described for image-space based motion planning. In an embodiment, a planned 3D trajectory is projected into an image-space of an image captured by the autonomous vehicle. The planned 3D trajectory is then optimized according to a cost function derived from information (e.g., depth estimates) in the captured image. The cost function associates higher cost values with identified regions of the captured image that are associated with areas of the physical environment into which travel is risky or otherwise undesirable. The autonomous vehicle is thereby encouraged to avoid these areas while satisfying other motion planning objectives.

Abstract: In one embodiment, a computing system accesses contextual data associated with a vehicle operated by a human driver. The contextual data is captured using one or more sensors associated with the vehicle. The system determines one or more predicted vehicle operations by processing the contextual data based at least on information associated with pre-recorded contextual data associated with a number of vehicles. The system detects one or more vehicle operations made by the human driver. The system determines that an event of interest is associated with the contextual data based on a comparison of the one or more vehicle operations made by the human driver and the one or more predicted vehicle operations. The system causes high-resolution contextual data associated with the event of interest to be stored.

Abstract: An autonomous agricultural system comprising a mobile power unit including a frame and a power supply. A position of the power supply is shiftable with respect to the frame of the mobile power unit. The autonomous agricultural system additionally includes an implement releasably secured to the mobile power unit. The mobile power unit is configured to transport the implement. The mobile power unit is further configured to provide power from the power supply to the implement.

Abstract: A system and method for monitoring driving conditions and reacting to the driving conditions is disclosed. The system includes a risk monitoring system that can detect adverse road conditions. The method includes performing rerouting when hazardous road conditions are detected. The vehicle may be routed along a different route that lacks the hazardous road condition. The method also includes providing feedback to the driver when adverse driver behavior, such as a drowsy driver, is detected.

Abstract: A turning control system of a vehicle includes: a database storing road information; a sensor part to detect a steering angle of a vehicle, a wheel speed of the vehicle, whether the vehicle is accelerated, whether the vehicle is braking, and whether a speed gear of the vehicle is shifted; and a controller that determines whether the vehicle enters a turning section based on one or more pieces of the information detected by the sensor part and the road information stored in the database. In particular, when the vehicle is entering the turning section, the controller sets a target speed of the vehicle and controls a speed of the vehicle to be decelerated to the set target speed.