ROJun 6, 2019

Visual-Inertial Navigation: A Concise Review

arXiv:1906.02650v1357 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental review paper for researchers and engineers in fields like mobile augmented reality, aerial navigation, and autonomous driving.

The paper provides a concise review of visual-inertial navigation systems (VINS), addressing the lack of a complete survey in the literature to aid researchers and engineers in accelerating VINS research.

As inertial and visual sensors are becoming ubiquitous, visual-inertial navigation systems (VINS) have prevailed in a wide range of applications from mobile augmented reality to aerial navigation to autonomous driving, in part because of the complementary sensing capabilities and the decreasing costs and size of the sensors. In this paper, we survey thoroughly the research efforts taken in this field and strive to provide a concise but complete review of the related work -- which is unfortunately missing in the literature while being greatly demanded by researchers and engineers -- in the hope to accelerate the VINS research and beyond in our society as a whole.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes