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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

This work deals with a moving target chasing mission of an aerial vehicleequipped with a vision sensor in a cluttered environment. In contrast toobstacle-free or sparse environments, the chaser should be able to handlecollision and occlusion simultaneously with flight efficiency. In order totackle these challenges with real-time replanning, we introduce a metric fortarget visibility and propose a cascaded chasing planner. By means of thegraph-search methods, we first generate a sequence of chasing corridors andwaypoints which ensure safety and optimize visibility. In the following phase,the corridors and waypoints are utilized as constraints and objective inquadratic programming from which we complete a dynamically feasible trajectoryfor chasing. The proposed algorithm is tested in multiple dense environments.The simulator AutoChaser with full code implementation and GUI can be found inhttps://github.com/icsl-Jeon/traj_gen_vis

Online Trajectory Generation of a MAV for Chasing a Moving Target in 3D Dense Environments