In this up to date article, we take a quick view at the top drones with obstacle detection and collision avoidance technology. We also give you a brief overview of the type of obstacle detection sensors being used, including information on software algorithms and SLAM technology, which is used to interpret the images being scanned by the sensors.Cognitive learning theory in the classroom

To compare all the above drones, the new DJI mavic pro 2 and mavic 2 zoom has the best obstacle avoidance system. The mavic 2 have obstacle detection all 6 sides of the drone.Cognitive learning theory in the classroom the mavic 2 can also fly around obstacles in front or behind it. More information on the mavic 2 obstacle sensing system further down. The DJI mavic pro 2 and mavic 2 zoom released in august 2018 have new cameras and superb stabilization.Cognitive learning theory in the classroom click on the link above to watch videos on these latest DJI mavic 2 quadcopters.

The costs for insuring a professional aerial filming or multispectral drone can be quite high.Cognitive learning theory in the classroom A top of the range multirotor carrying expensive camera equipment could cost up anywhere up to USD 50k. For these drones, it is essential to have insurance and the insurance costs are high.Cognitive learning theory in the classroom having a drone with obstacle detection collision avoidance systems will bring down these insurance costs. Obstacle detection drones for ease of mind

cognitive learning theory in the classroom

The latest top drones today have 4k cameras and film beautifully. Many people would love to own a drone but are terrified of crashing. If a drone pilot crashes into a tree, then it is pretty bad, but if it crashes into a person, cyclist or car it could be pretty catastrophic as well as highly embarrassing.Cognitive learning theory in the classroom many people are afraid that they will crash on their first flight wiping out their purchase.

Drones are with us to stay and we could be looking at a future where drones are autonomously delivering parcels, medications and pizza to our doors.Cognitive learning theory in the classroom there are so many challenges to be overcome for this to happen. Without doubt, drones will need to be 100% safe. They will need to be perfect at avoiding obstacles both moving and stationery.Cognitive learning theory in the classroom obstacle avoidance sensors

For a drone, car or robot to detect objects and then take action to avoid the obstacle whether to stop, go around or above the object involves many complex technologies working together to create an integrated system.Cognitive learning theory in the classroom this entails many various sensors, software programming which include mathematical modelling, algorithms, machine learning and aspects of SLAM technology.Cognitive learning theory in the classroom let’s take a quick look at these various technologies. Sensor fusion

Sensor fusion is a process by which data from several different sensors are “fused” to compute something more than could be determined by any one sensor alone.Cognitive learning theory in the classroom sensor fusion is a subcategory of data fusion and is also called multisensory data fusion or sensor-data fusion. Many of the DJI drones combine various sensors into their collision avoidance system.Cognitive learning theory in the classroom

Each drone will have slight differences on what to do once an object has been detected. The sensors scan the surroundings and feed this information back to the flight control system which will control the obstacle avoidance algorithm.Cognitive learning theory in the classroom the flight controller will then direct the drone depending on interpretation of the visual data from the algorithm whether to fly around, above or just hover in front of the obstacle.Cognitive learning theory in the classroom obstacle detection to track and follow objects

These obstacle detection sensors can do more than just detect objects and navigate around them or to stop from crashing into the obstacle.Cognitive learning theory in the classroom all of the drones listed above use their vision sensors together with advanced image recognition algorithms to allow the quadcopter to recognize and tracks objects.Cognitive learning theory in the classroom these obstacle detection sensors and algorithms can detect people, vehicles, animals and many other objects to follow.

The AMS tof sensor for obstacle detection and collision avoidance are based on a proprietary SPAD (single photon avalanche photodiode) pixel design and time-to-digital converters (tdcs), which have an extremely narrow pulse width.Cognitive learning theory in the classroom they can measure in real time the direct time-of-flight of a VCSEL (laser) emitter’s infrared ray reflected from an object.

However, many researchers are using monocular cameras such as on the parrot AR 2.0 drone to the detect objects in real time using machine learning algorithms.Cognitive learning theory in the classroom here is another article with videos where the parrot AR drone 2.0 monocular cameras are being used to detect and avoid obstacles using monocular vision.Cognitive learning theory in the classroom top drones with obstacle avoidance

The new mavic air only released in january 2018 can sense objects in 3 directions. However, its forward and backward vision system is much smarter than other drones.Cognitive learning theory in the classroom most of the drones will only hover when it senses and object in front. The mavic air is able to recalculate and actually fly around the obstacle.Cognitive learning theory in the classroom it will only hover if ii cannot remap a route around the obstacle.

The intel realsense IR laser camera emits IR light into the scene of where it is going to fly.Cognitive learning theory in the classroom based on the displacement of the pattern due to objects in the scene, it can calculate the distance of the objects from the camera. This method to calculate depth in general is known as structured light, and this is the way other 3D cameras, like the original kinect work.Cognitive learning theory in the classroom

The quality of film produced by the inspire 2 would make a hollywood producer proud. Integrated into the inspire 2 is the brand new cinecore 2.1 image processing system, capable of recording 5.2 and 6k videos in cinemadng, 5.2k videos in apple prores and more. CineCore 2.1 is built into the aircraft nose and works with any camera connected through the dedicated gimbal port.Cognitive learning theory in the classroom

Two ultrasonic sensors paired with two more computer vision cameras on the bottom of EVO, help protect the aircraft from landing on unlevel surfaces.Cognitive learning theory in the classroom using the precision landing feature the cameras on the bottom of EVO will capture reference images and use them during the return to home providing pinpoint precision during the landing sequence.Cognitive learning theory in the classroom

The autel evo is equipped with a powerful aerial camera on a 3-axis stabilize gimbal, which records video at 4k resolution up to 60 frames per second and a recording speed up to 100 mbps in H.264 or H.265 codec.Cognitive learning theory in the classroom using real-glass optics EVO captures stunning aerial photos at 12 megapixels with a wide dynamic range for more details and color.