PROJECT TITLE :

Building a 3-D Line-Based Map Using Stereo SLAM

ABSTRACT:

This paper presents a graph-primarily based visual simultaneous localization and mapping (SLAM) system using straight lines as features. Compared with point features, lines give so much richer data about the structure of the environment and make it possible to infer spatial semantics from the map. Employing a stereo rig as the only real sensor, our proposed system utilizes several advanced techniques, like motion estimation, pose optimization, and bundle adjustment. We have a tendency to use 2 totally different representations to parameterize 3-D lines during this paper: Plücker line coordinates for efficient initialization of newly observed line options and projection of three-D lines, and orthonormal representation for graph optimization. The proposed system is tested with indoor and outdoor sequences, and it exhibits higher reconstruction performance against a purpose-based mostly SLAM system in line-rich environments.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Building and Querying an Enterprise Knowledge Graph - 2017 ABSTRACT: Given knowledge reaching an unprecedented amount, coming from diverse sources, and covering a selection of domains in heterogeneous formats,
PROJECT TITLE : An Approach for Building Efficient and Accurate Social Recommender Systems using Individual Relationship Networks - 2017 ABSTRACT: Social recommender system, using social relation networks as further input to
PROJECT TITLE :Building Damage Detection Using Object-Based Image Analysis and ANFIS From High-Resolution Image (Case Study: BAM Earthquake, Iran)ABSTRACT:Building injury detection after earthquake would help to fast relief and
PROJECT TITLE :Building Types’ Classification Using Shape-Based Features and Linear Discriminant FunctionsABSTRACT:In this paper, the applicability and performance of linear discriminant analysis (LDA) for building varieties’
PROJECT TITLE :A Self-Supervised Decision Fusion Framework for Building DetectionABSTRACT:During this study, a replacement building detection framework for monocular satellite images, referred to as self-supervised decision fusion

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry