Unconsciously, I am going to the new year's CES. CES in 2016? The most popular is the intelligent obstacle avoidance performance of the RealSense drone with Yuneec and Intel. Then XRO exhibited the Xplorer2 with laser obstacle avoidance technology and introduced the laser obstacle avoidance technology. Soon, the first binocular Obstacle-consuming consumer drones? Phantom4, also officially shipped in March, unveiled the era of automatic obstacle avoidance by drones. Obstacle avoidance technology suddenly became the key word for the consumer drone sector in 2016. Elf Phantom4 and MavicPro Keywords Baidu Search Index Change / Map Source Network But at the end of 2016, Intel seems to focus on professional-grade drones, and Ai Faner also reported that Yuneec's latest self-timer drone Breeze also abandoned Intel's RealSense obstacle avoidance. On the other hand, although Danya is still selling big, Phantom4, which uses automatic obstacle avoidance as a selling point, is far less concerned than the extremely portable MavicPro (above). Consumers seem to be as big as the "automatic obstacle avoidance" interest, and the automatic obstacle avoidance at the beginning of the year suddenly changed from the protagonist to the running dragon. UAV obstacle avoidance technology overview What is the obstacle avoidance technology for drones? The original drone, through the gyroscope and accelerator, can sense the smoothness of the drone and stabilize its flight and hovering modes by controlling the output of the four motors. Then, the drone introduces GPS and barometer sensors, combined with gyroscope and accelerator positioning; GPS determines its own plane position, the barometer determines its own vertical height, and then controls the motor output to keep the drone in the same plane. And vertical points. Although the drone has been able to successfully find the three-dimensional "absolute positioning" (GPS plane sitting, air pressure vertical height), how to perceive the surrounding environment in the air that does not rely on the four sides, know the "relative positioning" of the drone and neighboring things. (The distance from the four things around) has become the biggest issue in the industry. It is true that the latest batch of unmanned aerial vehicle obstacle avoidance technology is actually in the bones: the sensor is used to judge the distance between the surrounding things and itself, and then by controlling the motor output, stop continuing to approach the obstacles, or even bypass the obstacles. Initially, the range measurement method commonly used by drones is “TimeofFlight (TOF)â€, and the drone transmits laser/infrared/ultrasonic waves, and then calculates the time difference of the reflected wave from the sensor to estimate the distance between the obstacle and itself; This method has a narrow range of perception and is not far enough. Ai Faner has reported that a new batch of drones in 2016 was mainly based on computer vision: using parallax (above) through binocular cameras or structured light for instant 3D modeling , determine the distance between the obstacle and the drone. However, why is the automatic obstacle avoidance of consumer drones advanced, but it still won't fire? Obstacle avoidance/flight, a contradictory proposition The reason why obstacle avoidance is important is because of the existence of obstacles; without obstacles, there is no need to avoid obstacles at all. In addition to being a robot , the drone is a flying robot; it is necessary to shoot the robot to fly to the sky, in order to avoid obstacles on various surfaces to achieve a more direct movement route, or a broader one. Unobstructed view. In short, obstacle avoidance is used to avoid obstacles, but the higher the drone flies, the fewer obstacles there are, and the need for obstacle avoidance is getting lower and lower. 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September 29, 2021