Abstract:
Systems and methods for UAV safety are provided. An authentication system may be used to confirm UAV and/or user identity and provide secured communications between users and UAVs. The UAVs may operate in accordance with a set of flight regulations. The set of flight regulations may be associated with a geo-fencing device in the vicinity of the UAV.
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:
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:
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:
With reference to Fig. 1, camera 12 mounted on airframe 10 captures an image of first field of view 20 along first optical axis 21 aimed at first object of interest 23. During the time of exposure, airframe 10 flies first flight path arc 22 centered on first object of interest 23 with a radius substantially equal to the distance between camera 12 and first object of interest 23. Airframe 10 pivots camera 12 around first object of interest 23 while the shutter in camera 12 is open. This is repeated around each subsequent object of interest to produce a scalloped or slalom path, namely Forward Motion Compensated (FMC) flight path 33.
Abstract:
A method for producing a vector map of a prescribed area (G) having the following steps: production (S1) of orthophotographs by a first camera (2-1) that is oriented at right angles to the earth's surface and that is fitted to an unmanned, automated air vehicle (1) that overflies the prescribed area (G) at a high altitude (FH H ); evaluation (S2) of the orthophotographs in order to ascertain at least one infrastructure network located in the area (G); computation (S3) of a flight route for the unmanned autonomous air vehicle (1) along the ascertained infrastructure network located in the area (G); production (S4) of detail aerial photographs of the infrastructure network along the computed flight route by a second camera (2-2) that is oriented obliquely with respect to the earth's surface and that is fitted to the unmanned automated air vehicle (1) that overflies the infrastructure network located in the area (G) at at least one low altitude (FH L ), and computation (S5) of the vector map of the area (G) on the basis of the orthophotographs produced and the detail aerial photographs produced.
Abstract:
A method and apparatus for controlling a set of sensor platforms (308). The apparatus comprises a map manager (310) and a controller (312). The map manager (310) creates a visibility map (322) for an area of interest (302) for a set of sensor platforms (308). The map manager (310) further updates the visibility map (322) over time while the set of sensor platforms (308) monitors the area of interest (302). The controller (312) controls a route (342) of each of the set of sensor platforms (308) using the visibility map (322).
Abstract:
The invention relates to drone (14) configured to communicate with a portable electronic device, such as a smartphone, and being further adapted to take pictures or videos of a user, the drone (14) being an accessory of the electronic device, the drone (14) being movable between a first configuration secured to the electronic device and a second configuration detached from the electronic device, the drone (14) being equipped with a camera (50).