A survey on Visual-Based Localization: On the benefit of heterogeneous data. (February 2018)

• Record Type: Journal Article
• Authors: Piasco, Nathan; Sidibé, Désiré; Demonceaux, Cédric; Gouet-Brunet, Valérie
• Is Part Of: Pattern recognition. Volume 74(2018:Feb.)
• Page Start: 90
• Page End: 109
• Publication Date: 2018-02
• Subjects: Image-based localization -- Visual geo-localization -- Camera relocalisation -- Pose estimation; Pattern perception -- Periodicals; Perception des structures -- Périodiques; Patroonherkenning; 006.4
• DOI: 10.1016/j.patcog.2017.09.013
• Languages: English
• ISSNs: 0031-3203

Abstract

Highlights: Comprehensive review of recent methods used for the task of Visual-Based Localization. Explicit classification on two main categorizes of state-of-the-art works. Discussion on the strengths and weaknesses of reviewed methods according to the type of data involved. Abstract: We are surrounded by plenty of information about our environment. From these multiple sources, numerous data could be extracted: set of images, 3D model, coloured points cloud... When classical localization devices failed ( e.g. GPS sensor in cluttered environments), aforementioned data could be used within a localization framework. This is called Visual Based Localization (VBL). Due to numerous data types that can be collected from a scene, VBL encompasses a large amount of different methods. This paper presents a survey about recent methods that localize a visual acquisition system according to a known environment. We start by categorizing VBL methods into two distinct families: indirect and direct localization systems. As the localization environment is almost always dynamic, we pay special attention to methods designed to handle appearances changes occurring in a scene. Thereafter, we highlight methods exploiting heterogeneous types of data. Finally, we conclude the paper with a discussion on promising trends that could permit to a localization system to reach high precision pose estimation within an area as large as possible.