The presentation video (with audio) is for the online event: 2020 IEEE International Conference on Robotics and Automation (ICRA), the largest robotics platform to share ideas, knowledge and cutting-edge academic and industrial research.
Title: Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations
Authors: Sourav Garg and Michael Milford
Affiliation: QUT Centre for Robotics (QCR) and Australian Centre for Robotic Vision (ACRV), School of Electrical Engineering and Robotics at the Queensland University of Technology (QUT), Australia.
Acknowledgement: This work received funding from AOARD grant FA2386-19-1-4079.
The corresponding research publication pdf for this presentation can be found here: https://arxiv.org/abs/2001.08434
Code for data generation can be found here: https://github.com/oravus/CoarseHash
Dataset download link: https://data.mendeley.com/datasets/zh5g5wbcj9/1
