Since the development of drones , the evolution of battery life and function has reached a certain bottleneck. Therefore, the mainstream consumer drone manufacturers in the world have begun to use safety as the starting point of the next products, and they have developed their own. "Obstacle Avoidance".
Among the problems faced by all drones, “obstacle avoidance†is one of the most demanding techniques and precision.
Let the drone autonomously perceive the surrounding environment and plan the next flight path. This seemingly simple thing is a big challenge for the drone. To solve this problem well, the drone manufacturer needs itself. There are enough technical accumulations in computer vision, ultrasound, and radar positioning.
Then, what kind of automatic obstacle avoidance systems are currently used in mainstream consumer-grade UAVs such as Dajiang, YUNEEC, and Parrot?
Yu Xiang YUNEEC Typhoon H - composite obstacle avoidance
As early as the beginning of the year at CES, Yuxiang YUNEEC demonstrated its indoor obstacle avoidance system with Intel Realsense sensor. Until recently, CES Asia, this consumer-grade product, TyphoonH, was officially unveiled and showed its latest outdoor composite avoidance. Barrier system.
Flying drone
If the previous indoor obstacle avoidance speech is a concept that is unthinkable about the intelligentization of drones, then compared with the current concept of obstacle avoidance, the realization of high-precision identification of obstacles and further avoidance is It is the flying over of the drone technology in terms of intelligence.
In the actual demonstration, Typhoon H Realsense, which opened the barrier system, can smoothly identify and avoid trees in the scene during the follow-up process.
YUNEEC's Typhoon H Realsense version has ultrasonic, visible light + structured light composite obstacle avoidance. The two circular holes in the front of the typhoon H fuselage are ultrasonic sensors, which can calculate the distance from the obstacles by the ultrasonic wave transmission method.
Obstacle avoidance component
The long strips below the two round holes are the source of the typhoon H Black Technology title - Intel Real Sense module. The module uses Intel RealSense technology to integrate the information generated by two infrared cameras, one infrared emitter and one RGB standard camera into a nail-sized image processor to further fine-tune the surface of the object. Model, constructing three-dimensional spatial information.
Hovering drone camera
In the case of sufficient natural light (daytime), the typhoon H Realsense version can recognize obstacles of about 10 meters and distinguish their shape and position through the RealSense module. At night, with the active infrared emitter, the typhoon H Realsense version can also sense obstacles of around 5 meters.
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