Boosting Performance of a Baseline Visual Place Recognition Technique by Predicting the Maximally Complementary Technique
Author:
Affiliation:
1. The QUT Centre for Robotics, School of Electrical Engineering and Robotics, QUT,Brisbane,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161561.pdf?arnumber=10161561
Reference39 articles.
1. Brain-inspired sensor fusion for navigating robots
2. CoHOG: A Light-Weight, Compute-Efficient, and Training-Free Visual Place Recognition Technique for Changing Environments
3. Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods
4. A Holistic Visual Place Recognition Approach Using Lightweight CNNs for Significant ViewPoint and Appearance Changes
5. A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road environments
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