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

Drones will revolutionize 3D modeling. A 3D model represents an accuratereconstruction of an object or structure. This paper explores the design andimplementation of ARES, which provides near real-time, accurate reconstructionof 3D models using a drone-mounted LiDAR; such a capability can be useful todocument construction or check aircraft integrity between flights. Accuratereconstruction requires high drone positioning accuracy, and, because GPS canbe in accurate, ARES uses SLAM. However, in doing so it must deal with severalcompeting constraints: drone battery and compute resources, SLAM erroraccumulation, and LiDAR resolution. ARES uses careful trajectory design to finda sweet spot in this constraint space, a fast reconnaissance flight to narrowthe search area for structures, and offloads expensive computations to thecloud by streaming compressed LiDAR data over LTE. ARES reconstructs largestructures to within 10s of cms and incurs less than 100 ms compute latency.

ARES: Accurate, Autonomous, Near Real-time 3D Reconstruction using Drones