Drones are one of the*fastest growing*tech sector. Millions of these devices are flying around skies around us and the number of new units is growing exponentially. This is why the drone traffic management system is on everyone’s lips. FAA and NASA are working with *hundreds of researchers and companies to bring this concept to life.
One of the teams from the Stanford Intelligent Systems Laboratory has come up with an interesting research paper. They*developed a quick decision process which could be used by the traffic management system to reroute drones and avoid collisions.*The team ran over a million simulations testing different scenarios where conflict included*between two and 10 devices. Drones were given varying levels of information about the other drones in the system and then were tested on their response time and how often they ran into conflict.
“The Stanford researchers found that drones could make the quickest decisions when they were paired with the closest other drone, and the two solely considered the other’s behavior. The slowest response occurred when drones considered their own surroundings and then fed their results into a central system that sent decisions back to the entire group. Decision time always increased as more drones entered the simulation, but the system was always able to make a decision on rerouting a drone within 50 milliseconds.”
The researchers also found that drones feeding their data into a central decision-making system came to the slowest decisions, but they were less likely to encounter conflict, making them safer.
One of the most advanced drone air traffic management system has been developed by UVA*software and services company*PrecisionHawk. Their*LATAS*(Low Altitude Traffic and Airspace Safety)*system has been tested by FAA with great results. The system*can have a drone automatically take actions such as landing or turning around if it gets too close to a forbidden area such as an airport, or if a conventional aircraft suddenly appears. The system*can use the cellular network, satellite links, or standard aircraft location beacons to monitor and communicate with drones.
The drone traffic management system will be most likely under development for the next several years. There is no single common standard yet and multiple market players would like you push their solution*to win the race. Today*PrecisionHawk*is in the lead but the situation might change soon as it often happens in such a young and dynamic industries.
source: Technology Review
The post Drones can avoid collisions by sharing knowledge appeared first on Geoawesomeness.
One of the teams from the Stanford Intelligent Systems Laboratory has come up with an interesting research paper. They*developed a quick decision process which could be used by the traffic management system to reroute drones and avoid collisions.*The team ran over a million simulations testing different scenarios where conflict included*between two and 10 devices. Drones were given varying levels of information about the other drones in the system and then were tested on their response time and how often they ran into conflict.
“The Stanford researchers found that drones could make the quickest decisions when they were paired with the closest other drone, and the two solely considered the other’s behavior. The slowest response occurred when drones considered their own surroundings and then fed their results into a central system that sent decisions back to the entire group. Decision time always increased as more drones entered the simulation, but the system was always able to make a decision on rerouting a drone within 50 milliseconds.”
The researchers also found that drones feeding their data into a central decision-making system came to the slowest decisions, but they were less likely to encounter conflict, making them safer.
One of the most advanced drone air traffic management system has been developed by UVA*software and services company*PrecisionHawk. Their*LATAS*(Low Altitude Traffic and Airspace Safety)*system has been tested by FAA with great results. The system*can have a drone automatically take actions such as landing or turning around if it gets too close to a forbidden area such as an airport, or if a conventional aircraft suddenly appears. The system*can use the cellular network, satellite links, or standard aircraft location beacons to monitor and communicate with drones.
The drone traffic management system will be most likely under development for the next several years. There is no single common standard yet and multiple market players would like you push their solution*to win the race. Today*PrecisionHawk*is in the lead but the situation might change soon as it often happens in such a young and dynamic industries.
source: Technology Review
The post Drones can avoid collisions by sharing knowledge appeared first on Geoawesomeness.