In realizing a flying car transport service (social implementation) at the venue of the Osaka / Kansai Expo (Yumeshima) in 2025, ensuring the safety (collision avoidance) of the airspace (collision avoidance) above the Expo venue and the venue area. increase. In this actual test, in order to verify the effectiveness of automatic control to resolve issues such as safety (collision avoidance), we utilize the collision prevention automatic control technology developed by Farostar and use the "flying car" in the remote island area. The purpose is to imagine utilization and to foster social acceptance by experiencing specific usage as a new means of transportation. Collision prevention automatic control technology obtains aircraft and drone flight information and detects the possibility that aircraft will collide based on the data, and can avoid "flying cars" to a drone that can be avoided as a drone that can be avoided. It is an algorithm that will be automatically avoided by specifying points) and determining that the collision has been avoided. In addition, the ACSL domestic industrial drone used in this demonstration test has already been adopted in various fields, such as logistics, infrastructure inspections, and disasters, and is particularly visible without assistants with few cases nationwide. We have a lot of track record for outer flight (Level3). By installing Farostar's collision prevention automatic control technology in the domestic drone ACSL-PF2, it is possible to enhance the safety of drone flights. ■ Implementation date: February 2, 2022 (Wed) to 3rd (Thursday) ■ Location: Osaka City, Osaka Prefecture and Fukuyama City, Hiroshima Prefecture ■ Contents: In this demonstration, a virtual drone and ACSL-PF2 evasion test will be conducted.・ A drone that simulated the “flying car” take off the departure location and fly to the specified place by planning ・ During the planning flight, the invasion of virtual drones is performed by instructed from the FAROSTAR collision. After avoiding, return to the original route and land in the specified location. I was able to do it ■ After the avoidance, I returned to the original planning flight, landed at the specified place, and I was able to fly safely [state of the demonstration test in Fukuyama City].
The drone take off from the departure point
Confirm that drones avoid obstacles in virtual space
Real -time distribution of test status with the FarostarVision app
After avoiding, returning to the original route and landing
Drone used for demonstration experiments (ACSL-PF2)
【株式会社FaroStarについて】 https://www.farostar.jp/FaroStarは、高度200m以下の非管制区域を飛行する飛行体を検知し、宅配ドローンや空飛ぶクルマなど自律飛行するエアモビリティの安全な運航を支援する航空管制の実現を目的として衝突防止自動管制技術を開発し、都市交通管制システムを用いた自動管制サービスを提供します。【株式会社ＡＣＳＬについて】 https://www.acsl.co.jp/ＡＣＳＬは、産業分野における既存業務の省人化・無人化を実現すべく、 国産の産業用ドローンの開発を行っており、特に、画像処理・AI のエッジコンピューティング技術を搭載した最先端の自律制御技術と、同技術が搭載された産業用ドローンを提供しています。既にインフラ点検や郵便・ 物流、防災などの様々な分野で採用されています。