Abstract:
A method for agronomic and agricultural monitoring includes designating an area for imaging, determining a flight path above the designated area, operating an unmanned aerial vehicle (UAV) along the flight path, acquiring images of the area using a camera system attached to the UAV, and processing the acquired images.
Abstract:
One or more techniques and/or systems are provided for selectively collecting vehicle telemetry data from one or more vehicles. For example, a communication data budget for a vehicle may be identified (e.g., a 5 GB per month data connection plan). A determination may be made as to whether the vehicle can provide vehicle telemetry data used to model a travel condition (e.g., road imagery, temperature, a windshield wiper state, and/or other vehicle telemetry data used to model a road safety condition). If the vehicle has remaining communication data budget available for transmission of the vehicle telemetry data without the vehicle exceeding the communication data budget for a billing cycle, then a data request for the vehicle telemetry data may be sent to the vehicle. Responsive to receiving the vehicle telemetry data from the vehicle, the travel condition may be modeled (e.g., the road condition may be determined as icy).
Abstract:
Les déplacements du drone sont définis par des ordres de pilotage appliqués à un ensemble de groupes propulseurs du drone, le drone se déplaçant selon une trajectoire au moins en partie prédéterminée pour réaliser une prise de vues animée d'une cible. Le drone ajuste l'angle de visée de la caméra au cours de ses déplacements et le cas échéant de ceux de la cible pour qu'à chaque instant l'image prise par la caméra contienne la position de la cible. Le système comprend des moyens (110) pour déterminer une trajectoire statique du drone pour la prise de vues, des moyens (120) pour déterminer une dynamique de déplacement du drone sur la trajectoire statique, et des moyens (130) pour générer des instructions de vol pour le drone à partir des deux déterminations et d'informations de position de la cible au cours du temps.
Abstract:
A site management system includes an unmanned airplane (13) being switchable between an airplane mode for high speed flight and a VTOL mode for low speed flight, a working vehicle (12) working in a civil construction site (CS), a shape detection sensor (44) provided in the unmanned airplane (13) to detect a shape of the civil construction site (CS), and an external control apparatus (11) that controls flight of the unmanned airplane (13), driving of the working vehicle (12), and driving of the shape detection sensor (44). The external control apparatus (11) moves the unmanned airplane (12) to an observation area (Ai) by performing the high speed flight. Further, the external control apparatus (11) detects a shape of the observation area by driving the shape detection sensor (44) while performing the high speed flight or by driving the shape detection sensor (44) while performing low speed flight by switching from the airplane mode to the VTOL mode.
Abstract:
A product and system for identifying and monitoring a characteristic including the part ID, presence, condition, usage and/or performance of ground-engaging products used on various kinds of earth working equipment.
Abstract:
Vehicles feature various forms of automated driving control, such as speed control and braking distance monitoring. However, the parameters of automated control may conflict with the user driving behaviors of the user; e.g., braking distance maintained with respect to a leading vehicle may seem overcautious to users who prefer shorter braking distances, and unsafe to users who prefer longer braking distances. Presented herein are techniques for controlling vehicles according to the user driving behaviors of users. While a user operates a vehicle in a driving context, a device monitors various driving features (e.g., acceleration or braking) to determine various user driving behaviors. When requested to control a driving feature of the vehicle, a controller may identify the user driving behaviors of the user in the driving context, and control the driving features according to the user driving behaviors, thus personalizing automated driving to the preferences of the user.
Abstract:
A method of launching a powered unmanned aerial vehicle, the method comprising lifting the vehicle by attachment to a lighter-than-air carrier from a substantially ground-level location to an elevated altitude, wherein the vehicle is prevented from entering its flight mode during ascent, causing the vehicle to detach from the carrier while the velocity of the vehicle relative to the carrier is substantially zero, the vehicle thereafter decreasing in altitude as it accelerates to a velocity where it is capable of preventing any further descent and can begin independent sustained flight.
Abstract:
A UAV includes a body. The body defines a payload opening 14. The payload opening is circular, but any shape may be used. A payload of the UAV is arranged in the payload opening. The payload may be a camera, sensors, a package, etc. A payload shroud may be installed which prohibits or reduced ingress of foreign material via payload opening. A payload shroud may include a diverter. The diverter may act as a barrier wall preventing the water or debris from entering the body of the UAV. The diverter should fit flush with the payload opening in the body of the UAV.
Abstract:
Systems, methods, and devices are provided for controlling a movable object using multiple sensors. In one aspect, a method for calibrating one or more extrinsic parameters of a movable object is provided. The method can comprise: receiving initial values for the one or more extrinsic parameters, wherein the one or more extrinsic parameters comprise spatial relationships between at least two image sensors carried by the movable object; receiving inertial data from at least one inertial sensor carried by the movable object during the operation of the movable object; receiving image data from the at least two image sensors carried by the movable object during the operation of the movable object; and determining estimated values for the one or more extrinsic parameters based on the initial values, the inertial data, and the image data using an iterative optimization algorithm during the operation of the movable object.