End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks (2017)

First Author: Wang S

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1177/0278364917734298

Publication URI: http://dx.doi.org/10.1177/0278364917734298

Type: Journal Article/Review

Parent Publication: The International Journal of Robotics Research

Issue: 4-5

ISSN: 0278-3649