Comparative Study of Visual Odometry and SLAM Techniques

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Gaspar, AR (Author) Other; Nunes, A (Author) Other; Pinto, A (Author) FEUP; Matos, A (Author) Other

Conference proceedings International

Title: Advances in Intelligent Systems and Computing

Pages: 463-474

3rd Iberian Robotics Conference, ROBOT 2017

22 November 2017 through 24 November 2017

Indexing

Scopus - 2 Citations

Other information

Authenticus ID: P-00N-N5H

DOI: 10.1007/978-3-319-70836-2_38

Abstract (EN): The use of the odometry and SLAM visual methods in autonomous vehicles has been growing. Optical sensors provide valuable information from the scenario that enhance the navigation of autonomous vehicles. Although several visual techniques are already available in the literature, their performance could be significantly affected by the scene captured by the optical sensor. In this context, this paper presents a comparative analysis of three monocular visual odometry methods and three stereo SLAM techniques. The advantages, particularities and performance of each technique are discussed, to provide information that is relevant for the development of new research and novel robotic applications. © Springer International Publishing AG 2018.

Language: English

Type (Professor's evaluation): Scientific