English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Integrating drones into the civil airspace is one of the biggest challenges for civil aviation, responsible authorities and involved com-panies around the world in the upcoming years. For a full integration into non-segregated airspace such a system has to provide thecapability to automatically detect and avoid other airspace users. Electro-optical cameras have proven to be an adequate sensor to detectall types of aerial objects, especially for smaller ones such as gliders or paragliders. Robust detection and tracking of approaching trafficon a potential collision course is the key component for a successful avoidance maneuver. In this paper we focus on the aerial objecttracking during dynamic flight maneuvers of the own-ship where accurate attitude information corresponding to the camera images isessential. Because the ’detect and avoid’ functionality typically extends existing autopilot systems the received attitude measurementshave unknown delays and dynamics. We present an efficient method to calculate the angular rates from a multi camera rig which wefuse with the delayed attitude measurements. This allows for estimating accurate absolute attitude angles for every camera frame. Theproposed method is further integrated into an aerial object tracking framework. A detailed evaluation of the pipeline on real collisionencounter scenarios shows that the multi camera rig based attitude estimation enables the correct tracking of approaching traffic duringdynamic flight, at which the tracking framework previously failed

ROBUST AERIAL OBJECT TRACKING IN HIGH DYNAMIC FLIGHT MANEUVERS