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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Reliable deployment of Unmanned Aerial Vehicles (UAVs) in cluttered unknownenvironments requires accurate sensors for obstacle avoidance. Such arequirement limits the usage of cheap and micro-scale vehicles with constrainedpayload capacity if industrial-grade reliability and precision are required.This paper investigates the possibility of offloading the necessity to carryheavy and expensive obstacle sensors to another member of the UAV team whilepreserving the desired obstacle avoidance capability. A novel cooperativeguidance framework offloading the obstacle sensing requirements from aminimalistic secondary UAV to a superior primary UAV is proposed. The primaryUAV constructs a dense occupancy map of the environment and planscollision-free paths for both UAVs to ensure reaching the desired secondaryUAV's goal. The primary UAV guides the secondary UAV to follow the planned pathwhile tracking the UAV using Light Detection and Ranging (LiDAR)-based relativelocalization. The proposed approach was verified in real-world experiments witha heterogeneous team of a 3D LiDAR-equipped primary UAV and a camera-equippedsecondary UAV moving autonomously through unknown cluttered Global NavigationSatellite System (GNSS)-denied environments with the proposed framework runningcompletely on board the UAVs.

Drones Guiding Drones: Cooperative Navigation of a Less-Equipped Micro Aerial Vehicle in Cluttered Environments