S400 Autonomous Drone Obstacle Avoidance Techniques

In recent years, relying on the development of intelligent technology, drones have penetrated into applications in various industries such as security, inspection, and surveying, and play a pivotal role. But at the same time, various types of complex operating environments also pose challenges to the intelligence and flight safety of drones. As a necessary condition for increasing the safe flight of drones, obstacle avoidance technology is changing with each passing day as its application deepens.

Obstacle avoidance technology is the intelligent technology for drones to avoid obstacles autonomously. The UAV automatic obstacle avoidance system can avoid obstacles in the flight path in a timely manner, greatly reducing losses caused by operational errors.

Obstacle sensing stage

Drones can only simply sense obstacles. When the drone encounters an obstacle, it can quickly identify it and hover, waiting for the next instruction from the drone pilot.

Getting around obstacles

The drone can obtain the depth image of the obstacle, and thereby accurately perceive the specific outline of the obstacle, and then avoid the obstacle autonomously. This is the stage where the drone can get rid of the pilot's operation and realize the autonomous driving of the drone.

Scene modeling and path search stage

UAVs can build a map model of the flight area and then plan reasonable routes, which is the highest stage of UAV obstacle avoidance technology at present.

These three stages are the process of UAV obstacle avoidance technology. From the drone discovering obstacles, to automatically avoiding obstacles, and then achieving a self-planning path.

Infrared obstacle avoidance

A common implementation of infrared obstacle avoidance is the triangulation principle. The infrared sensor includes an infrared emitter and a CCD detector. It emits infrared rays and reflects them on the object. After the reflected light is received by the CCD detector, the reflection angle will be different due to the different distance D of the object. Different reflection angles will produce Different offset values L, knowing these data and then calculating, the distance of the object can be obtained.

Ultrasonic obstacle avoidance

The principle of ultrasonic ranging is that sound waves will be reflected when they encounter obstacles, and the speed of sound waves is known. Therefore, if you know the time difference from transmitting to receiving, you can calculate the measurement distance. Combined with the distance between the transmitter and the receiver, you can calculate the obstacle. the actual distance of the object.

Laser obstacle avoidance

Laser obstacle avoidance is similar to infrared, it also emits laser and then receives it. There are many measurement methods for laser sensors, including triangulation similar to infrared, and time difference + speed similar to ultrasonic waves.

Visual obstacle avoidance

Solve the problem of how robots "see", that is, computer vision. The basis is how to obtain three-dimensional information from two-dimensional images to understand the three-dimensional world we live in.

The popularization of obstacle avoidance functions is a general trend in the development of the UAV industry. While increasing the breadth of UAV operation scenarios, UAVs can adapt to more complex and harsh flight environments and complete mission requirements efficiently and intelligently. In the future, combined with diversified drone obstacle avoidance technologies, Hanvort drones will be deeply applied to various industries, making drones more intelligent.