Abstract: A movable object for detecting an obstacle includes a first passive infrared sensor having a first detection range and a first field of view, and one or more second passive infrared sensors each having a second detection range and a second field of view. The second detection range is longer than the first detection range and the second field of view is smaller than the first field of view. The movable object further includes one or more processors configured to calculate a distance from the movable object to the obstacle based on data from at least one of the first passive infrared sensor or the one or more second passive infrared sensors, and determine whether to effect a collision avoidance maneuver for the movable object to avoid the obstacle based on the distance.

Abstract: A movable object for responding to an object includes a first passive infrared sensor having a first detection range and a first field of view, and one or more second passive infrared sensors each having a second detection range and a second field of view. The second detection range is longer than the first detection range and the second field of view is smaller than the first field of view. The movable object further includes one or more processors configured to recognize the object based on one or more heat signals received from at least one of the first passive infrared sensor or the one or more second passive infrared sensors, and perform a flight response measure to control the movable object based on the recognized object.

Abstract: A UAV includes an application processing circuit configured to process primary image data obtained by a primary imaging senor carried by a gimbal; a real-time sensing circuit configured to process, in a real time manner, secondary image data obtained by a secondary imaging sensor not carried by a gimbal; and a flight control circuit. The flight control circuit is configured to communicate, through a first communication channel, with the application processing circuit to receive the processed primary image data and use the processed primary image data to control the UAV to perform a first function; and communicate, through a second communication channel, with the real-time sensing circuit to receive the processed secondary image data and use the processed secondary image data to control the UAV to perform a second function. The second function is different from the first function. The second communication channel is independent from the first communication channel.

Abstract: An unmanned aerial vehicle (UAV) includes one or more propulsion units that effect flight of the UAV, an application processing circuit configured to verify a validity of a system image of the UAV in a secure environment, and a flight control circuit operably coupled to the application processing circuit. Generation and/or transmission of control signals from the flight control circuit to one or more electronic speed controllers (ESC controllers) is prevented prior to verification of the validity of the system image.

Abstract: Techniques are disclosed for motion-based automatic image capture in a movable object environment Image data including a plurality of frames can be obtained and a region of interest in the plurality of frames can be identified. The region of interest may include a representation of one or more objects. Depth information for the one or more objects can be determined in a first coordinate system. A movement characteristic of the one or more objects may then be determined in the second coordinate system based at least on the depth information. One or more frames from the plurality of frames may then be identified based at least on the movement characteristic of the one or more objects.

Abstract: A movable object for responding to an object includes a first passive infrared sensor having a first detection range and a first field of view, and one or more second passive infrared sensors each having a second detection range and a second field of view. The second detection range is longer than the first detection range and the second field of view is smaller than the first field of view. The movable object further includes one or more processors configured to recognize the object based on one or more heat signals received from at least one of the first passive infrared sensor or the one or more second passive infrared sensors, and perform a flight response measure to control the movable object based on the recognized object.

Abstract: Systems, apparatuses and methods for recognizing or detecting obstacles are provided. Passive infrared (PIR) sensors may be coupled to movable objects, such as unmanned aerial vehicles (UAVs). PIR sensors may detect and recognize obstacles such as humans and determine or calculate a distance to the obstacles. Based on the distance from the movable object to the obstacle, one or more flight response measures such as collision avoidance maneuvers may be effected or implemented.

Abstract: An unmanned aerial vehicle (UAV) includes one or more propulsion units that effect flight of the UAV, an application processing circuit configured to verify a validity of a system image of the UAV in a secure environment, and a flight control circuit operably coupled to the application processing circuit. Generation and/or transmission of control signals from the flight control circuit to one or more electronic speed controllers (ESC controllers) is prevented prior to verification of the validity of the system image.

Abstract: Systems, apparatuses and methods for recognizing or detecting obstacles are provided. Passive infrared (PIR) sensors may be coupled to movable objects, such as unmanned aerial vehicles (UAVs). PIR sensors may detect and recognize obstacles such as humans and determine or calculate a distance to the obstacles. Based on the distance from the movable object to the obstacle, one or more flight response measures such as collision avoidance maneuvers may be effected or implemented.