Muutke küpsiste eelistusi

Online Appearance-Based Place Recognition and Mapping: Their Role in Autonomous Navigation 2022 ed. [Kõva köide]

, ,
  • Formaat: Hardback, 111 pages, kõrgus x laius: 235x155 mm, kaal: 377 g, 35 Illustrations, color; 5 Illustrations, black and white; XXI, 111 p. 40 illus., 35 illus. in color., 1 Hardback
  • Sari: Springer Tracts in Advanced Robotics 133
  • Ilmumisaeg: 02-Sep-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303109395X
  • ISBN-13: 9783031093951
Teised raamatud teemal:
  • Kõva köide
  • Hind: 95,02 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 111,79 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
Online Appearance-Based Place Recognition and Mapping: Their Role in Autonomous Navigation 2022 ed.Suurem pilt
  • Formaat: Hardback, 111 pages, kõrgus x laius: 235x155 mm, kaal: 377 g, 35 Illustrations, color; 5 Illustrations, black and white; XXI, 111 p. 40 illus., 35 illus. in color., 1 Hardback
  • Sari: Springer Tracts in Advanced Robotics 133
  • Ilmumisaeg: 02-Sep-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303109395X
  • ISBN-13: 9783031093951
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031093951.html
Märksõnad:

This book introduces several appearance-based place recognition pipelines based on different mapping techniques for addressing loop-closure detection in mobile platforms with limited computational resources. The motivation behind this book has been the prospect that in many contemporary applications efficient methods are needed that can provide high performance under run-time and memory constraints. Thus, three different mapping techniques for addressing the task of place recognition for simultaneous localization and mapping (SLAM) are presented. The book at hand follows a tutorial-based structure describing each of the main parts needed for a loop-closure detection pipeline to facilitate the newcomers. It mainly goes through a historical review of the problem, focusing on how it was addressed during the years reaching the current age. This way, the reader is initially familiarized with each part while the place recognition paradigms follow.

Arvustused

This excellent book changes the game for autonomous robot navigation. The cherry on top is the books vibrant and captivating full-color presentation. it deftly appraises the latest state-of-the-art innovations and advancements in place recognition and mapping, cementing its position as an indispensable reference for the robot navigation industry. (Athanasios D. Styliadis, Computing Reviews, October 11, 2023)

The revisiting problem in simultaneous localization and mapping.-
Benchmarking.- Probabilistic appearance-based place recognition through
hierarchical mapping.- Dynamic places denition for sequence-based visual
place recognition.- Modest-vocabulary loop-closure detection with incremental
bag of Tracked words.- Open challenges and conclusion.