Français
1. Promising AR algorithms and application challenges
Today, the main algorithmic challenges of embedded augmented reality are linked to 3D recognition of the indoor and outdoor environment, and precise localization of the observer.
Simultaneous mapping and localization for onboard AR
Simultaneous mapping and localization (SLAM) algorithms have literally revolutionized the field of mobile robotics over the last ten years.
SLAM (Simultaneous Localisation and Mapping) is a set of computer vision algorithms designed to construct a map of an environment unknown to a moving observer, while estimating its relative position with respect to this map.
Robotic platforms offered a sufficiently powerful computing skeleton and sensors of all kinds, including an environmental...
The Ultimate Scientific and Technical Reference
This article is included in
Signal processing and its applications
This offer includes:
Knowledge Base
Updated and enriched with articles validated by our scientific committees
Services
A set of exclusive tools to complement the resources
Practical Path
Operational and didactic, to guarantee the acquisition of transversal skills
Doc & Quiz
Interactive articles with quizzes, for constructive reading
Promising AR algorithms and application challenges
Development software and applications
Bibliography
Software tools
ARToolkit http://www.hitl.washington.edu/artoolkit
Recon Instruments http://www.reconinstruments.com
Qualcomm Vuforia 4.0 https://www.qualcomm.com/products/vuforia
...Websites
GOOGLE Tango https://www.dailywireless.org/mobile/what-happened-to-google-tango/?msID=25d23b09-7bd4-433b-81cb-a79cbe0eebb0
CONTINENTAL adds augmented reality to 2017 in-car display : Telematics NewsPublished : Jul 14, 2014
The Ultimate Scientific and Technical Reference
